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01-12-2021 | Original Article | Issue 1/2021 Open Access

Investigating the occurrence of selfie-based emotional contagion over social network

Happiness is obviously one of the most fundamental essence that affects many aspects of our lives. Past research found that happiness of one person affects that of other people. What occurs under this propagation of emotion is called “emotional …

Authors:
Wataru Sasaki, Yuuki Nishiyama, Tadashi Okoshi, Jin Nakazawa

01-12-2021 | Original Article | Issue 1/2021

Integrating location and textual information for detecting affected people in a crisis

Social networks have become a major source of news with millions of people writing and trading news daily. At the occurrence of any event, news spread faster on social networks compared to other news sources, which makes them a good source for …

Authors:
Esraa Karam, Wedad Hussein, Tarek F. Gharib

01-12-2021 | Original Article | Issue 1/2021

Leveraging node neighborhoods and egograph topology for better bot detection in social graphs

Due to their popularity, online social networks are a popular target for spam, scams, malware distribution and more recently state-actor propaganda. In this paper, we review a number of recent approaches to fake account and bot classification.

Authors:
Björn Bebensee, Nagmat Nazarov, Byoung-Tak Zhang

01-12-2021 | Original Article | Issue 1/2021

A Regularized Convex Nonnegative Matrix Factorization Model for signed network analysis

Community detection and link prediction are two basic tasks of complex network system analysis, which are widely used in the detection of telecom fraud organizations and recommendation systems in the real world. In ordinary unsigned networks …

Authors:
Jia Wang, Rongjian Mu

01-12-2021 | Original Article | Issue 1/2021

The dynamics of the university impact on YouTube: a comparative analysis

The impact of universities on social networks has been widely studied, especially on Facebook and Twitter. However, there is a clear lack of research on YouTube, despite an overwhelming presence of universities on this online video platform. The …

Authors:
Alejandro Ros-Gálvez, Ángel Meseguer-Martínez, Germán López-Buenache

01-12-2021 | Original Article | Issue 1/2021

Conceptualizing the use of the term financial risk by non-academics and academics using twitter messages and ScienceDirect paper abstracts

A text mining technique, based on an Application Programming Interface (API) request—using narrative data from Twitter™ and ScienceDirect™—was used to identify how non-academics and academics conceptualize and evaluate sentiment indicators …

Authors:
Eun Jin Kwak, John E. Grable

01-12-2021 | Research | Issue 1/2021 Open Access

A review: preprocessing techniques and data augmentation for sentiment analysis

In literature, the machine learning-based studies of sentiment analysis are usually supervised learning which must have pre-labeled datasets to be large enough in certain domains. Obviously, this task is tedious, expensive and time-consuming to …

Authors:
Huu-Thanh Duong, Tram-Anh Nguyen-Thi

01-12-2021 | Research | Issue 1/2021 Open Access

A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction

The stock market is very unstable and volatile due to several factors such as public sentiments, economic factors and more. Several Petabytes volumes of data are generated every second from different sources, which affect the stock market. A fair …

Authors:
Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori

01-12-2021 | Survey Paper | Issue 1/2021 Open Access

Deep Learning applications for COVID-19

This survey explores how Deep Learning has battled the COVID-19 pandemic and provides directions for future research on COVID-19. We cover Deep Learning applications in Natural Language Processing, Computer Vision, Life Sciences, and Epidemiology.

Authors:
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht

01-12-2021 | Original Article | Issue 1/2021

Information diffusion modeling and analysis for socially interacting networks

Social network analysis provides innovative techniques to analyze interactions among entities by emphasizing social relationships. Diffusion in the social network can be referred to spread of information among interconnected nodes or entities in a …

Authors:
Pawan Kumar, Adwitiya Sinha

01-12-2021 | Research | Issue 1/2021 Open Access

Querying knowledge graphs in natural language

Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs are typically enormous and are often not easily accessible to end-users because they require specialized knowledge in query languages such as …

Authors:
Shiqi Liang, Kurt Stockinger, Tarcisio Mendes de Farias, Maria Anisimova, Manuel Gil

01-12-2021 | Research | Issue 1/2021 Open Access

A method for extracting travel patterns using data polishing

With recent developments in ICT, the interest in using large amounts of accumulated data for traffic policy planning has increased significantly. In recent years, data polishing has been proposed as a new method of big data analysis. Data …

Authors:
Mio Hosoe, Masashi Kuwano, Taku Moriyama

01-12-2021 | Research | Issue 1/2021 Open Access

Stable bagging feature selection on medical data

In the medical field, distinguishing genes that are relevant to a specific disease, let’s say colon cancer, is crucial to finding a cure and understanding its causes and subsequent complications. Usually, medical datasets are comprised of …

Author:
Salem Alelyani

01-12-2021 | Regular article | Issue 1/2021 Open Access

Challenges when identifying migration from geo-located Twitter data

Given the challenges in collecting up-to-date, comparable data on migrant populations the potential of digital trace data to study migration and migrants has sparked considerable interest among researchers and policy makers. In this paper we …

Authors:
Caitrin Armstrong, Ate Poorthuis, Matthew Zook, Derek Ruths, Thomas Soehl

01-12-2021 | Original Article | Issue 1/2021

Probabilistic reasoning system for social influence analysis in online social networks

People interact with other people in their daily life, either for work or for personal reasons. These interactions are often complex. Thus, interactions that an individual has with other individuals, to some extent, influence the decisions they …

Authors:
Lea Vega, Andres Mendez-Vazquez, Armando López-Cuevas

01-12-2021 | Research | Issue 1/2021 Open Access

Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA)

The stability of the economy and political system of any country highly depends on the policy of anti-money laundering (AML). If government policies are incapable of handling money laundering activities in an appropriate way, the control of the …

Authors:
Abdul Khalique Shaikh, Malik Al-Shamli, Amril Nazir

01-04-2021 | Research Article | Issue 2/2021

Task assignment for social-oriented crowdsourcing

Crowdsourcing has become an efficient measure to solve machine-hard problems by embracing group wisdom, in which tasks are disseminated and assigned to a group of workers in the way of open competition. The social relationships formed during this …

Authors:
Gang Wu, Zhiyong Chen, Jia Liu, Donghong Han, Baiyou Qiao

01-04-2021 | Issue 1/2021 Open Access

Assisting humans in privacy management: an agent-based approach

Image sharing is a service offered by many online social networks. In order to preserve privacy of images, users need to think through and specify a privacy setting for each image that they upload. This is difficult for two main reasons: first …

Authors:
A. Can Kurtan, Pınar Yolum

01-03-2021 | Issue 1/2021

NDE 4.0—A Design Thinking Perspective

Cyber technologies are offering new horizons for quality control in manufacturing and safety assurance in-service of physical assets. The line between non-destructive evaluation (NDE) and Industry 4.0 is getting blurred since both are sensory …

Authors:
Johannes Vrana, Ripudaman Singh

14-01-2021 | Original Article

Group decision making for internet public opinion emergency based upon linguistic intuitionistic fuzzy information

With the wide use of network, the outbreak of network public opinion emergencies has changed from single to multiple. The goal of the current study is to construct the emergency group decision-making (EGDM) model for multiple network public …

Authors:
Yi Liu, Guiwu Wei, Haobin Liu, Lei Xu

14-01-2021 | Original Paper Open Access

Application of telemedicine and eHealth technology for clinical services in response to COVID‑19 pandemic

Telemedicine and eHealth refer to the use of information and communication technology (ICT) embedded in software programs with highspeed telecommunications systems for delivery, management, and monitoring of healthcare services. Application of …

Author:
Anthony Jnr. Bokolo

14-01-2021

Changes in Sexuality Education Teacher Training Since the Release of the Australian Curriculum

International research recognises that school-based sexuality education can improve adolescent sexual health outcomes (Breuner, Mattson, & Committee on Psychological Aspects of Child and Family Health, 2016 ; UNESCO, 2018 ). The World Health …

Authors:
Paulina Ezer, Christopher M. Fisher, Tiffany Jones, Jennifer Power

14-01-2021

Pork Belly Politics: The Moral and Instrumental Reasons Clients Donate to Patrons in a Rural Colombian Mayoral Election

Why, in the context of a rural Colombian mayoral election, do poor clients donate goods and services to political campaigns? The literature on clientelism describes it as a political order in which politicians exchange resources or favors for …

Author:
Alex Diamond

14-01-2021 | Original Paper

It’s More Than Just Technology Adoption: Understanding Variations in Teachers’ Use of an Online Planning Tool

This paper examines variability in teachers’ usage patterns as they interacted with an online teacher support tool, the Curriculum Customization Service (CCS), in their professional work. Understanding variation of use with technology provides …

Authors:
Heather Leary, Victor R. Lee, Mimi Recker

14-01-2021 | Original Paper

An analysis of UK retailers’ initiatives towards circular economy transition and policy-driven directions

The global economic transformation has brought about a revolution that is driving economic excellence not only in the UK context but also all over the world. Businesses are facing a range of challenges such as global competition, raising awareness …

Authors:
Arvind Upadhyay, Anil Kumar, Shaheda Akter

14-01-2021 | Original Paper

Strategic analysis of single-use plastic ban policy for environmental sustainability: the case of Pakistan

The unprecedentedly excessive production and consumption of plastic have currently touched more than 350 million tons per annum (Heidbreder et al. 2019 ; PlasticEurope 2017 ). A recent report (Hamilton et al. 2019 ) unveils that production and …

Authors:
Sharafat Ali, Waqas Ahmed, Yasir Ahmed Solangi, Imran Sharif Chaudhry, Nasibeh Zarei

13-01-2021 Open Access

Assessing Consumers’ Co‐production and Future Participation On Value Co‐creation and Business Benefit: an F-P-C-B Model Perspective

Co-production and active participation of the consumers are considered to have enhanced the value co-creation activities that would ensure business benefits of a firm. The marketing literature available does not explicitly explain the philosophy …

Authors:
Sheshadri Chatterjee, Nripendra P. Rana, Yogesh K. Dwivedi

13-01-2021

Spreading mechanism of Weibo public opinion phonetic representation based on the epidemic model

Public opinion is the abbreviation of public ideas, which is the sum of the beliefs, attitudes, opinions and emotions expressed by the masses about various phenomena in the society. Network public opinion is not only the mapping of public opinion …

Authors:
Yuanyuan Wang, Xinliang Huang, Bingqing Li, Xiaoqing Liu, Yingying Ma, Xinjing Huang

13-01-2021 | Open Forum

Reading vs. Scanning: Notes on Re:Print

Published in 2018, ‘Re:Print’ is an experimental artists’ book, edited by Véronique Chance and Duncan Ganley, that brings together images and text by 20 contributors whose work addresses the role and language of the reproducible image. This …

Author:
Duncan Ganley

13-01-2021

E-culture of Russian students: Socio-cultural differentiation

Electronic culture constitutes a new form of social adjustment in the digital era. Our study aims to reveal socio-cultural differentiation in the social group of Russian students whose e-culture is being shaped. Moscow students became our test …

Authors:
Ekaterina Vladimirovna Kargapolova, Andrey Vadimovich Novikov, Stanislav Viktorovich Kargapolov, Andrey Petrovich Koshkin, Julia Aleksandrovna Davydova

12-01-2021 Open Access

Counting people in the crowd using social media images for crowd management in city events

City events are getting popular and are attracting a large number of people. This increase needs for methods and tools to provide stakeholders with crowd size information for crowd management purposes. Previous works proposed a large number of …

Authors:
V. X. Gong, W. Daamen, A. Bozzon, S. P. Hoogendoorn

12-01-2021

Sampling-based visual assessment computing techniques for an efficient social data clustering

Visual methods were used for pre-cluster assessment and useful cluster partitions. Existing visual methods, such as visual assessment tendency (VAT), spectral VAT (SpecVAT), cosine-based VAT (cVAT), and multi-viewpoints cosine-based similarity VAT …

Authors:
M. Suleman Basha, S. K. Mouleeswaran, K. Rajendra Prasad

11-01-2021 | Original Article

A dual deep neural network with phrase structure and attention mechanism for sentiment analysis

An ablation experiment on Chinese short financial texts

Sentiment analysis of short texts is difficult for their simplicity and compactness. This goes a step further when it comes to the Chinese texts. Although deep learning achieved better accuracy in sentiment analysis, there is a lack of …

Authors:
Dongning Rao, Sihong Huang, Zhihua Jiang, Ganesh Gopal Deverajan, Rizwan Patan

11-01-2021 | Research Paper

Post-Traumatic Growth and Stress-Related Responses During the COVID-19 Pandemic in a National Representative Sample: The Role of Positive Core Beliefs About the World and Others

Given the need to understand both the negative and positive psychological consequences of the current global COVID-19 pandemic (Brewin et al. in Perspectives in Public Health https://doi.org/10.1177/1757913920957365 2020), the aim of this study …

Authors:
Carmelo Vazquez, Carmen Valiente, Felipe E. García, Alba Contreras, Vanesa Peinado, Almudena Trucharte, Richard P. Bentall

11-01-2021

Innovation portfolio management: a systematic review and research agenda in regards to digital service innovations

Portfolio Management (PM) for innovation is as relevant as ever before as many incumbent firms undergo massive transformation in response to digitalization and face the challenge to allocate resources for traditional product innovation and service …

Authors:
Theresa Eckert, Stefan Hüsig

10-01-2021 | Original Article

Clone detection in 5G-enabled social IoT system using graph semantics and deep learning model

The protection and privacy of the 5G-IoT framework is a major challenge due to the vast number of mobile devices. Specialized applications running these 5G-IoT systems may be vulnerable to clone attacks. Cloning applications can be achieved by …

Authors:
Farhan Ullah, Muhammad Rashid Naeem, Leonardo Mostarda, Syed Aziz Shah

09-01-2021 | Original Paper

Welcome to the Gray Zone: Shades of Honesty and Earnings Management

We examine the influence of face-based judgments of CFO and CEO honesty on earnings management for the largest publicly traded companies in America. After controlling for incentives and opportunities to manage earnings, CFOs perceived to be less …

Authors:
Pascale Lapointe-Antunes, Kevin Veenstra, Kareen Brown, Heather Li

08-01-2021 | Original Paper

Do Boards Take Environmental, Social, and Governance Issues Seriously? Evidence from Media Coverage and CEO Dismissals

This study empirically investigates the dismissal of U.S. CEOs following negative media coverage of environmental, social, and governance (ESG) practices. Extending related literature on the media, ESG, and CEO dismissal, I develop a theoretical …

Author:
Jenna J. Burke

08-01-2021

Machine learning towards intelligent systems: applications, challenges, and opportunities

The emergence and continued reliance on the Internet and related technologies has resulted in the generation of large amounts of data that can be made available for analyses. However, humans do not possess the cognitive capabilities to understand …

Authors:
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami

08-01-2021

Online rating system development using blockchain-based distributed ledger technology

In most websites, the online rating system provides the ratings of products and services to users. Lack of trust in data integrity and its manipulation has hindered fulfilling user satisfaction. Since existing online rating systems deal with a …

Authors:
Monir Shaker, Fereidoon Shams Aliee, Reza Fotohi

08-01-2021

Leveraging deep learning with audio analytics to predict the success of crowdfunding projects

In the social Web era, crowdfunding has become an increasingly important channel for entrepreneurs to raise funds from the crowd for their start-up projects. Previous studies have examined various factors, such as textual information of projects …

Authors:
Jiatong Shi, Kunlin Yang, Wei Xu, Mingming Wang

08-01-2021

Design and implementation of an academic expert system through big data analysis

Most researchers establish research directions in their study of new fields by providing expert advice or publishing expert papers. The existing academic search services display papers by field but do not provide experts by field. Therefore …

Authors:
Dojin Choi, Hyeonbyeong Lee, Kyoungsoo Bok, Jaesoo Yoo

07-01-2021

On exploring feature representation learning of items to forecast their rise and fall in social media

User-item interactions in social media provide a rich dataset for wide applications such as viral marketing and recommender systems. Post retweeting behaviors and venue check-in events by users are the most representative. While existing studies …

Authors:
Cheng-Te Li, Hsin-Yu Chen, Yang Zhang

07-01-2021 | Regular Contribution

Attention: there is an inconsistency between android permissions and application metadata!

Since mobile applications make our lives easier, there is a large number of mobile applications customized for our needs in the application markets. While the application markets provide us a platform for downloading applications, it is also used …

Authors:
Huseyin Alecakir, Burcu Can, Sevil Sen

07-01-2021 | Regular Paper

GeoSparkViz: a cluster computing system for visualizing massive-scale geospatial data

In the last decade, geospatial data which is extracted from GPS traces and satellites image has become ubiquitous. GeoVisual analytics, abbr. GeoViz, is the science of analytical reasoning assisted by geospatial map interfaces. GeoViz involves two …

Authors:
Jia Yu, Mohamed Sarwat

07-01-2021 | Original Paper

Centrality measures for node-weighted networks via line graphs and the matrix exponential

This paper is concerned with the identification of important nodes in node-weighted graphs by applying matrix functions, in particular the matrix exponential. Many tools that use an adjacency matrix for a graph have been developed to study the …

Authors:
Omar De la Cruz Cabrera, Mona Matar, Lothar Reichel

07-01-2021

Social explorative attention based recommendation for content distribution platforms

In modern social media platforms, an effective content recommendation should benefit both creators to bring genuine benefits to them and consumers to help them get really interesting content. To address the limitations of existing methods for …

Authors:
Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang

07-01-2021

How the Structures Provided by Social Media Enable Collaborative Outcomes: A Study of Service Co-creation in Nonprofits

This paper explains how social media drives organization-public collaborative outcomes such as social media-enabled service co-creation in non-profit organizations (nonprofits). We assume a technology affordances perspective to identify social …

Authors:
Fatuma Namisango, Kyeong Kang, Ghassan Beydoun

07-01-2021

Understanding the Impact of Intellectual Capital on E-Business Entrepreneurial Orientation and Competitive Agility: An Empirical Study

This study empirically examines the impact of intellectual capital on the frontiers of e-business entrepreneurial orientation and how intellectual capital and e-business entrepreneurial orientation contribute to competitive agility. A …

Author:
Khaled Saleh Al-Omoush

07-01-2021

Digital competences of residents in Kuyavian-Pomeranian Voivodeship in the light of the polish training project “E-active”

The purpose of the article is to describe the trainings implemented as part of the project “E-Active Residents of the Kuyavian-Pomeranian and Łódź Voivodeships” and to present the results of partial assessment of the level of digital competence of …

Authors:
Małgorzata Kowalska-Chrzanowska, Przemysław Krysiński, Marcin Paweł Karwowski

06-01-2021 | Original Article

Big data in cybersecurity: a survey of applications and future trends

With over 4.57 billion people using the Internet in 2020, the amount of data being generated has exceeded 2.5 quintillion bytes per day. This rapid increase in the generation of data has pushed the applications of big data to new heights; one of …

Author:
Mohammed M. Alani

06-01-2021

Envisioning the Aesthetic Firm

This paper draws on the work of Alain Badiou and Martin Heidegger to construct a postructural theory of the firm. The ideal firm is conceived as a technology that facilitates a technology-free void/site of potential. For actors within this firm to …

Author:
John Dobson

06-01-2021

Addressing Sexual Health Among Youth in Foster Care Group Homes: A Community-Engaged Grounded Theory Study

Youth in foster care suffer from higher rates of sexually transmitted infections (STIs), HIV, and pregnancy than other youth, making sexual health a particular concern in this population that should be addressed with urgency. Foster youth have …

Authors:
Elizabeth M. Aparicio, Olivia N. Kachingwe, John P. Salerno, Melanie Geddings-Hayes, Bradley O. Boekeloo

06-01-2021

LGBT+ Training Needs for Health and Social Care Professionals: A Cross-cultural Comparison Among Seven European Countries

Evidence shows there is a need to ensure that health and social care professionals (i.e. teachers/trainers/workers, for theory and practice, in health and social care settings) are capable to deliver care and support to lesbian, gay, bisexual, and …

Authors:
Roberto Baiocco, Alfonso Pezzella, Jessica Pistella, Christiana Kouta, Elena Rousou, Patricia Rocamora-Perez, Remedios López-Liria, Victor Dudau, Ana Maria Doru, Andrea Kuckert-Wöstheinrich, Sabine Ziegler, Dorthe Nielsen, Laila Twisttmann Bay, Irena Papadopoulos

06-01-2021

Social Support in the Transition to Parenthood Among Lesbian, Gay, and Bisexual Persons: A Systematic Review

Parenting is a challenging life-cycle transition, particularly for lesbian, gay, and bisexual (LGB) persons who have to deal with prejudice and discrimination. Considering this position of social disadvantage and the potential protective role of …

Authors:
Daniela Leal, Jorge Gato, Susana Coimbra, Daniela Freitas, Fiona Tasker

06-01-2021

PrEP Attitudes from MSM and Transwomen in the Largest Suburban HIV Epidemic in the USA

Despite the improved efforts in human immunodeficiency virus (HIV) care and prevention, the number of new infections and the number of people living with HIV (PLWH) remain high. At the end of 2018, there were over 1.1 million PLWH in the (USA) …

Authors:
Spring C. Cooper, Alana Doonachar, Anthony J. Santella

06-01-2021 | Research Article-Computer Engineering and Computer Science

Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn

Analysing learners’ behaviours in MOOCs has been used to identify predictive features associated with positive outcomes in engagement and learning success. Early methods predominantly analysed numerical features of behaviours such as the page …

Authors:
Ismail Duru, Ayse Saliha Sunar, Su White, Banu Diri

06-01-2021

The Global Compact for Migration (GCM), International Solidarity and Civil Society Participation: a Stakeholder’s Perspective

A distinguishing feature of the Global Compact for Safe, Orderly and Regular Migration (GCM) is its “whole-of-society” approach, which includes states, but also engages a “broad multi-stakeholder” partnership to address global migration “in all …

Authors:
Carolina Gottardo, Nishadh Rego

06-01-2021 | Original research article

Thumbs down on “likes”? The impact of Facebook reactions on online consumers’ nonprofit engagement behavior

Businesses and marketers have long pursued users’ “likes” on Facebook, but some have doubts about the effect of the presence of Facebook reactions such as “like” and “love.” This study addresses the long-overdue question of whether the presence of …

Author:
Min Chung Han

06-01-2021 | Methodological Paper

The biasing effect of common method variance: some clarifications

There are enduring misconceptions in the marketing and management literature about the potential biasing effects of Common Method Variance (CMV). One belief is that the biasing effect of CMV is of greater theoretical than practical importance; …

Authors:
Hans Baumgartner, Bert Weijters, Rik Pieters

06-01-2021

Research on Optimal Checkpointing-Interval for Flink Stream Processing Applications

Nowadays various distributed stream processing systems (DSPSs) are employed to process the ever-expanding real-time data. The DSPSs are highly susceptible to system failure, and the fault-tolerance issue is a major problem, which is getting lot of …

Authors:
Zhan Zhang, Wenhao Li, Xiao Qing, Xian Liu, Hongwei Liu

06-01-2021 Open Access

Social Media Data in an Augmented Reality System for Situation Awareness Support in Emergency Control Rooms

During crisis situations, emergency operators require fast information access to achieve situation awareness and make the best possible decisions. Augmented reality could be used to visualize the wealth of user-generated content available on …

Authors:
Jennifer Fromm, Kaan Eyilmez, Melina Baßfeld, Tim A. Majchrzak, Stefan Stieglitz

06-01-2021

Bullying and victimization among Turkish adolescents: the predictive role of problematic internet use, school burnout and parental monitoring

This study aims to examine the paths between excessive Internet use, school burnout and parental monitoring and their predictor effects in peer bullying and victimization among Turkish adolescents. The relational survey design was employed in the …

Authors:
Özge Çevik, Rıdvan ATA, Mustafa Çevik

05-01-2021 | Discussion Open Access

Life Engineering

Towards a new discipline
Authors:
Rainer Alt, Andreas Göldi, Hubert Österle, Edy Portmann, Sarah Spiekermann

05-01-2021 | Original Paper

Legitimacy and Cosmopolitanism: Online Public Debates on (Corporate) Responsibility

Social media platforms have been vested with hope for their potential to enable ‘ordinary citizens’ to make their judgments public and contribute to pluralized discussions about organizations and their perceived legitimacy (Etter et al. in Bus Soc …

Authors:
Anne Vestergaard, Julie Uldam

05-01-2021

Prefetched wald adaptive boost classification based Czekanowski similarity MapReduce for user query processing with bigdata

With large volumes of data being generated in recent years and the inception of big data analytics on social media necessitates accurate user query processing with minimum time complexity. Several research works have been conducted in this area …

Authors:
S. Tamil Selvan, P. Balamurugan, M. Vijayakumar

05-01-2021

A novel approach in selective assembly with an arbitrary distribution to minimize clearance variation using evolutionary algorithms: a comparative study

The minimization of surplus components with normal dimensional distributions while making selective assemblies was the only objective considered in the previous research works carried out by various researchers in different periods. Seldom works …

Authors:
Lenin Nagarajan, Siva Kumar Mahalingam, Jayakrishna Kandasamy, Selvakumar Gurusamy

05-01-2021

An Enhanced Approach to Map Domain-Specific Words in Cross-Domain Sentiment Analysis

Domain adaptation in sentiment analysis is one of the areas where a classifier trained in one domain often classifies sentiments poorly when applied to another domain due to domain-specific words. Extracting features and their relevant opinion …

Authors:
A. Geethapriya, S. Valli

05-01-2021 | Research Article

Top-Down and Bottom-Up Lockdown: Evidence from COVID-19 Prevention and Control in China

Utilizing national migration data regarding the outbreak of the novel coronavirus (2019-nCoV), this paper employs a difference-in-differences approach to empirically analyze the relationship between human mobility and the transmission of …

Authors:
Xiaoming Zhang, Weijie Luo, Jingci Zhu

05-01-2021

Determining the barriers contributing to ICT implementation by using technology-organization-environment framework in Ethiopian higher educational institutions

Information and communication technology (ICT) is an important element to improve teaching-learning practices. This paper is aimed to determine the barriers affecting the implementation of ICT in Ethiopian higher learning institutions by adapting …

Authors:
Amanuel Ayde Ergado, Amare Desta, Hemini Mehta

05-01-2021 Open Access

Investigation of university students’ behaviour in a Heterarchical twitter community

We conducted an investigational study of the formulation of the heterarchical online knowledge-based community among university students, which also involved users outside a course. As an exercise in a course, students were assigned to post their …

Author:
Masami Yoshida

04-01-2021 | Special Issue

Prognosticate of the financial market utilizing ensemble-based conglomerate model with technical indicators

The financial exchange is known for its outrageous multifaceted nature and instability, and individuals are continually searching for a precise and successful approach to control stock trading. The exact expectation of stock cost could assume a …

Authors:
Dushmanta Kumar Padhi, Neelamadhab Padhy

04-01-2021

The state of #digitalentrepreneurship: a big data Leximancer analysis of social media activity

This paper examined online sentiment, key themes and patterns evident in social media activity about digital entrepreneurship. It provides a snapshot-in-time, visual-first perspective on social media user-generated-content (UGC) to better …

Authors:
Violetta Wilk, Helen Cripps, Alexandru Capatina, Adrian Micu, Angela-Eliza Micu

04-01-2021

The role of diaspora in opportunity-driven entrepreneurial ecosystems: A mixed-methods study of Balkan economies

Migration is among the main factors influencing economic development in the twenty-first century. And while much research has explored the role of migration on economic growth, the role of diaspora for the development of the country-of-origin …

Authors:
Jana Schmutzler, Veneta Andonova, Jonathan Perez-Lopez

04-01-2021 | Original Research Paper Open Access

Rethinking Assistive Technologies: Users, Environments, Digital Media, and App-Practices of Hearing

Against the backdrop of an aging world population increasingly affected by a diverse range of abilities and disabilities as well as the rise of ubiquitous computing and digital app cultures, this paper questions how mobile technologies mediate …

Authors:
Beate Ochsner, Markus Spöhrer, Robert Stock

04-01-2021

The role of cognitive complexity and risk aversion in online herd behavior

This paper investigated the role of information related, social and customer characteristics in public information adoption tendencies of online customers to result in herding in e-commerce. E-commerce platforms contains numerous online reviews …

Authors:
G. Rejikumar, Aswathy Asokan-Ajitha, Sofi Dinesh, Ajay Jose

04-01-2021

Factors Affecting Customer Analytics: Evidence from Three Retail Cases

The abundance of customer behavioral data alters the design and application of customer analytics systems and approaches. Segmentation is a common customer analytics practice, but researchers highlight that traditional segmentation approaches are …

Authors:
Anastasia Griva, Cleopatra Bardaki, Katerina Pramatari, Georgios Doukidis

04-01-2021

A 3D graphics rendering pipeline implementation based on the openCL massively parallel processing

Recently, massively-parallel computing libraries and devices are much widely used, in addition to the traditional 3D graphics systems. In this paper, we present a full 3D fixed-function graphics pipeline, based on the OpenCL, which is one of the …

Authors:
Mingyu Kim, Nakhoon Baek

04-01-2021

Assessing motorist behavior during flash floods in Tucson, Arizona

Weather events often force motorists to drive in unsafe conditions or alter travel plans. Both decisions are imbued with costs that drivers may minimize by developing adaptation behaviors that facilitate safe travel. This study examines motorist …

Authors:
Ashley R. Coles, Kyle E. Walker

04-01-2021

Heterogeneous Graph Network Embedding for Sentiment Analysis on Social Media

Nowadays, more people are used to express their attitudes on different entities in online social networks, forming user-to-entity sentiment links. These sentiment links imply positive or negative semantics. Most of current user sentiment analysis …

Authors:
Zhigang Jin, Xiaofang Zhao, Yuhong Liu

04-01-2021

Relationship Identification Between Conversational Agents Using Emotion Analysis

Human relationships are influenced by the underlying emotions in their interactions. With the increasing use of social networks, relationships from textual data can also be inferred from online interactions. Such interactions result in massive …

Authors:
Saira Qamar, Hasan Mujtaba, Hammad Majeed, Mirza Omer Beg

04-01-2021 | Original Paper

Business Ethics and Quantification: Towards an Ethics of Numbers

Social practices of quantification, or the production and communication of numbers, have been recognized as important foundations of organizational knowledge, as well as sources of power. With the advent of increasingly sophisticated digital tools …

Author:
Gazi Islam

04-01-2021 | Original Research

Pre-implementation assessment for introducing direct load control strategies in the residential electricity sector

Demand response (DR) programs are getting wide acceptance among consumers in different parts of the world, and many utility establishments are looking for adopting such programs to meet the growing electricity demand. This paper discusses major …

Authors:
Rajeev Alasseri, T. Joji Rao, K. J. Sreekanth

04-01-2021

Ranking educational channels on YouTube: Aspects and issues

YouTube has become a global platform for learning and teaching. Its design as a social medium, its rapidly growing content and the obscurity of its search and recommendation system, however, frequently leave users with suboptimal results. Trying …

Authors:
Abdul Wadood Tadbier, Abdulhadi Shoufan

04-01-2021

Effect of the flipped classroom model on academic achievement and motivation in teacher education

The present study investigates the effect of the Flipped Classroom (FC) model on the academic achievement and motivation levels of preservice teachers enrolled on the Teaching Principles and Methods (TPM) course, which is a higher education-level …

Authors:
Murat Debbağ, Sevilay Yıldız

03-01-2021 | Original Article

Exfoliating decision support system: a synthesis of themes using text mining

Decision support systems (DSS) have evolved significantly since the past 50 years. The existing bouquet of DSS contributions offering the prevalent emphasis and future orientations of the field also point towards several shortcomings. The existing …

Authors:
Rahul Kumar, Rahul Thakurta

03-01-2021 | Long Paper

Learning analytics in Ecuador: a systematic review supported by statistical implicative analysis

Five thousand six hundred ten scientific articles related to Learning Analytics (LA) are stored in Scopus and Web of Science from 2014 until 2019, as evidence of the importance and increasing interest in this new line of research. LA is the …

Authors:
Rubén Pazmiño-Maji, Miguel Á. Conde, Francisco García-Peñalvo

03-01-2021 | Research Paper

A novel approach to build accurate and diverse decision tree forest

Decision tree is one of the best expressive classifiers in data mining. A decision tree is popular due to its simplicity and straightforward visualization capability for all types of datasets. Decision tree forest is an ensemble of decision trees.

Authors:
Archana R. Panhalkar, Dharmpal D. Doye

03-01-2021 Open Access

The Rise of the Roboid

The aim of this paper is to analyze a new phenomenon that is emerging in the field of social robotics, which we name as “roboid”. The roboid is a robot that is still at the prototype stage but claims to be fully functioning. We argue that the …

Authors:
Leopoldina Fortunati, Alessandra Sorrentino, Laura Fiorini, Filippo Cavallo

03-01-2021 | Original research article

Engagement in social networks: a multi-method study in non-profits organizations

This study discusses aspects of online communication that influence in relational interaction between online users and organizations. The objective is to consider the use of communication of organizations in social media as determinants for the …

Authors:
Renata V. Klafke, Paulo M. Gomes, Demétrio Mendonça Junior, Simone R. Didonet, Ana M. Toaldo

03-01-2021

Optimizing Sentiment Classification for Arabic Opinion Texts

Meanwhile, products and services reviews’ provide a guide for potential customers allowing them to reach real knowledge about such products/services while making decisions. Sentiment classification is the task of analyzing opinions expressed in …

Authors:
Radwa M. K. Saeed, Sherine Rady, Tarek F. Gharib

03-01-2021

Multinational corporations and tax havens: evidence from country-by-country reporting

A growing body of economics literature shows that multinational corporations (MNCs) shift their profits to tax havens. We contribute to this evidence by comparing a range of available data sets focusing on US MNCs, including country-by-country …

Authors:
Javier Garcia-Bernando, Petr Janský, Thomas Tørsløv

03-01-2021 | Original Article

In and out of Wonderland: a criti/chromatic stroll across postdigital culture

The contemporary info-proliferation is taking the ideal of a solid technological rationalism to its extreme point: the depletion of all bodies into 'informational cuts’, orderable bits and pieces of data fabric. The present contribution will …

Author:
Stamatia Portanova

03-01-2021 | Original Article

Debate: what is personhood in the age of AI?

In a friendly interdisciplinary debate, we interrogate from several vantage points the question of “personhood” in light of contemporary and near-future forms of social AI. David J. Gunkel approaches the matter from a philosophical and legal …

Authors:
David J. Gunkel, Jordan Joseph Wales

03-01-2021 | Original Article

Utilizing Facebook for professional integration of three ethnic groups in Israel

This study proposes a conceptual model for utilization of Facebook for professional integration of ethnic minorities, based on the social capital and weak social ties theories. In particular, the research focuses on differences among ethnic groups …

Authors:
Maayan Zhitomirsky-Geffet, Avraham Weic

03-01-2021 | Research Article-Computer Engineering and Computer Science

Prediction of Heart Disease Using Deep Convolutional Neural Networks

Heart diseases are currently a major cause of death in the world. This problem is severe in developing countries in Africa and Asia. A heart disease predicted at earlier stages not only helps the patients prevent it, but I can also help the …

Authors:
Awais Mehmood, Munwar Iqbal, Zahid Mehmood, Aun Irtaza, Marriam Nawaz, Tahira Nazir, Momina Masood

03-01-2021 | Original Research

Government’s Economic Performance Fosters Trust in Government in China: Assessing the Moderating Effect of Respect for Authority

The high level of trust in government in China has been attributed to the Chinese government’s success in economic development. However, the increased public demand in China in recent years has made the public less likely to focus on the …

Authors:
Jian Yang, Chaohua Dong, Yongjin Chen

03-01-2021

Group level social media popularity prediction by MRGB and Adam optimization

Social media has become a tremendous source to bring in new clients. Sharing posts for new offers/products to get extensive client engagement can be predicted by grouping the users based on their previous interactions. In this paper, we improve …

Authors:
Navdeep Bohra, Vishal Bhatnagar

03-01-2021 | S.I.: SPIoT 2020

An intelligent optimization method of E-commerce product marketing

In order to improve the marketing effect of e-commerce products, based on machine learning algorithms, this paper constructs an e-commerce product marketing model based on machine learning and SVM. Moreover, this paper studies the classic …

Authors:
Fang Cui, Haihua Hu, Ying Xie

03-01-2021 | S.I. : Higher Level Artificial Neural Network Based Intelligent Systems

Time segment language model for microblog retrieval

Related studies have shown that the time characteristics of microblog can improve retrieval performance. However, these researches mainly focus on the time distribution of tweets related to a given query. And this single time characteristics might …

Authors:
Zhong-yuan Han, Lei-lei Kong, Hao-liang Qi

03-01-2021 | Methodologies and Application

Sentiment analysis of stock markets using a novel dimensional valence–arousal approach

Sentiment analysis has been used in many studies to predict stock market trends. Current sentimental analysis approaches focus only on the upward and downward movement of the price, which is not sufficient for more precise prediction of stock …

Authors:
Jheng-Long Wu, Min-Tzu Huang, Chi-Sheng Yang, Kai-Hsuan Liu

03-01-2021

Integration of social media for smart pedagogy: initial perceptions of senior high school students in Ghana

Social media have become part of students’ life as a result of their features and the predominant mobile smart medium of usage. In the advanced world, the social platforms have provided affordances for integration in education providing smart …

Authors:
Kwaku Anhwere Barfi, Brandford Bervell, Valentina Arkorful

02-01-2021 | Original Paper

The Role of Customer Perceived Ethicality in Explaining the Impact of Incivility Among Employees on Customer Unethical Behavior and Customer Citizenship Behavior

Incivility among employees in frontline encounters is prevalent, but little is known about its impact on customers’ ethics-related perceptions and behaviors. Drawing upon the stimulus–organism–response paradigm, this study examines how witnessing …

Authors:
Yu-Shan Huang, Shuqin Wei, Tyson Ang

02-01-2021 | Original Article

Could a robot flirt? 4E cognition, reactive attitudes, and robot autonomy

In this paper, I develop a view about machine autonomy grounded in the theoretical frameworks of 4E cognition and PF Strawson’s reactive attitudes. I begin with critical discussion of White (this issue), and conclude that his view is strongly …

Author:
Charles Lassiter

02-01-2021

Profit-splitting rules and the taxation of multinational digital platforms

This paper analyzes the strategy of a monopolistic digital platform serving users from two jurisdictions with different corporate tax rates. We consider two profit-splitting rules, Separate Accounting and Formula Apportionment based on the number …

Authors:
Francis Bloch, Gabrielle Demange

02-01-2021 | regular contribution

Enhanced models for privacy and utility in continuous-time diffusion networks

Controlling the propagation of information in social networks is a problem of growing importance. On one hand, users wish to freely communicate and interact with their peers. On the other hand, the information they spread can bring to harmful …

Authors:
Federica Granese, Daniele Gorla, Catuscia Palamidessi

02-01-2021 | Original research

Gamification Applications in E-learning: A Literature Review

In recent years, there has been a lot of attention given to the trend of including game elements into non-gaming facilities. The usage of gamification in education is a massive benefit for motivation, user interaction, and social effects. The …

Authors:
Awaz Naaman Saleem, Narmin Mohammed Noori, Fezile Ozdamli

02-01-2021

Investigation of information sharing via multiple social media platforms: a comparison of Facebook and WeChat adoption

This study evaluates different antecedents affecting information sharing via multiple social media platforms on a large scale. In doing so, this research compares the effects of information sharing behavior factors via Facebook and WeChat …

Authors:
Muhammad Riaz, Sherani

02-01-2021

Political segmentation based on pictorial preferences on social media

Social media platforms, which are accepted as a channel for selling, listening and receiving continuous feedback from customers, have the opportunity to expand beyond the limits of traditional mass media channels. Social media mechanisms work well …

Authors:
Mehmet Özer Demir, Biagio Simonetti, Zuhal Gök Demir

02-01-2021

Post-stroke fatigue level is significantly associated with mental health component of health-related quality of life: a cross-sectional study

Stroke is one of the common neurological conditions worldwide and is the first leading cause of physical disabilities in adults globally. About 144–187 per 100,000 persons worldwide experience stroke annually [ 1 – 3 ]. Stroke is also prevalent in …

Authors:
Khader A. Almhdawi, Hanan B. Jaber, Hanan W. Khalil, Saddam F. Kanaan, Awni A. Shyyab, Zaid M. Mansour, Alza H. Alazrai

02-01-2021

Quality of life under the COVID-19 quarantine

COVID-19 has had a great impact on many levels. This disease is caused by a new strain of coronavirus called severe acute respiratory syndrome coronavirus 2 that spread rapidly throughout China, sparking concerns about a global pandemic. By the …

Authors:
Lara N. Ferreira, Luís N. Pereira, Maria da Fé Brás, Kateryna Ilchuk

02-01-2021

Enhancing the identification accuracy of deep learning object detection using natural language processing

In recent years, object detection technology with artificial intelligence has been applied in many fields. This study uses a deep learning method to train an identification model to classify and browse pictures of the 600 different kinds of birds …

Authors:
Ming-Fong Tsai, Hung-Ju Tseng

02-01-2021

Trend analysis using agglomerative hierarchical clustering approach for time series big data

Road traffic accidents are a ‘global tragedy’ that generates unpredictable chunks of data having heterogeneity. To avoid this heterogeneous tragedy, we need to fraternize and categorize the datasets. This can be done with the help of clustering …

Authors:
Subbulakshmi Pasupathi, Vimal Shanmuganathan, Kaliappan Madasamy, Harold Robinson Yesudhas, Mucheol Kim

02-01-2021

A Scoping Review on Agency Collaboration in Emergency Management Based on the 3C Model

Most emergency responses involve collaborative efforts from teams operating in the field and in the backstage. Collaboration within and across agencies should therefore be regarded as an essential service in emergency management. We propose a …

Authors:
Tenanoia Simona, Tauisi Taupo, Pedro Antunes

02-01-2021

Online career counseling success: the role of hardiness and psychological capital

Online career counseling is an important new horizon for vocational guidance. The present study investigates the role of online career counseling and of psychological capital and hardiness on career decision making. The research population …

Authors:
Nooshin Pordelan, Simin Hosseinian

02-01-2021 | Original Article

EchoFakeD: improving fake news detection in social media with an efficient deep neural network

The increasing popularity of social media platforms has simplified the sharing of news articles that have led to the explosion in fake news. With the emergence of fake news at a very rapid rate, a serious concern has produced in our society …

Authors:
Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang

01-01-2021 Open Access

New Interview Method for Sketching the Dynamic Relational and Sexual History of Young Adults

The newly developed RSH interview method fits within a tradition of various earlier (inter)national studies in which qualitative life history methods were used to collect data on the relational and sexual development of adolescents and young …

Authors:
Daphne van de Bongardt, Mirthe Verbeek

01-01-2021 | Issue 1/2021

Software development with feature toggles: practices used by practitioners

In 2012, developers in Knight Capital Group, an American global financial services firm, updated their automated, high-speed, algorithmic router which inadvertently repurposed a feature toggle, Feature toggles are also called feature flags, feature …

Authors:
Rezvan Mahdavi-Hezaveh, Jacob Dremann, Laurie Williams

01-01-2021 | Issue 1/2021

Machine Learning Based Classification Accuracy of Encrypted Service Channels: Analysis of Various Factors

Visibility into network traffic is a key requirement for different security and network monitoring tools. Recent trends in the evolution of Internet traffic present a challenge for traditional traffic analysis methods to achieve accurate …

Authors:
Ali Safari Khatouni, Nabil Seddigh, Biswajit Nandy, Nur Zincir-Heywood

01-01-2021 | Original Article | Issue 1/2021 Open Access

Local organization for promoting energy efficiency—reform of local energy advice service in Sweden

Homeowners are identified as a group in society that could change their energy behaviour towards greater energy efficiency and use of non-fossil fuels. External local energy advisors, who provide knowledge, motivation and service, can influence …

Authors:
Linnea Eriksson, Are Kjeang

01-01-2021 | Methodologies and Application

An intrinsic authorship verification technique for compromised account detection in social networks

The proliferation of social networks resulted in a remarkable increase in their popularity empowering users to create, share and exchange content for interaction and communication among them. However, these have also opened new avenues for …

Authors:
Ravneet Kaur, Sarbjeet Singh, Harish Kumar

24-12-2020 | Theoretical / Philosophical Paper Open Access

Presence in Digital Spaces. A Phenomenological Concept of Presence in Mediatized Communication

Theories of face-to-face interaction employ a concept of spatial presence and view communication via digital technologies as an inferior version of interaction, often with pathological implications. Current studies of mediatized communication …

Authors:
Gesa Lindemann, David Schünemann

23-12-2020 | Research Open Access

Gameplay Analysis of Multiplayer Games with Verified Action-Costs

Measuring player skill cannot be done by considering their historical success alone as the relative skill of their opponents must be considered along with confounding factors such as luck and circumstance. With a specifically designed game, every …

Authors:
William Kavanagh, Alice Miller

23-12-2020 | Research Article

Camera-based Basketball Scoring Detection Using Convolutional Neural Network

Recently, deep learning methods have been applied in many real scenarios with the development of convolutional neural networks (CNNs). In this paper, we introduce a camera-based basketball scoring detection (BSD) method with CNN based object …

Authors:
Xu-Bo Fu, Shao-Long Yue, De-Yun Pan

22-12-2020 | OPEN FORM Open Access

AI-based healthcare: a new dawn or apartheid revisited?

The Bubonic Plague outbreak that wormed its way through San Francisco’s Chinatown in 1900 tells a story of prejudice guiding health policy, resulting in enormous suffering for much of its Chinese population. This article seeks to discuss the …

Authors:
Alice Parfett, Stuart Townley, Kristofer Allerfeldt

18-12-2020 | Schwerpunkt

Künstliche Intelligenz zur Abbildung und Sicherung von Wissen – Nachhaltigkeit für das wichtigste Unternehmens-Asset

Effizientes Wirtschaften in einem Unternehmen bedingt die möglichst umfassende, langfristige und jederzeit zugängliche Ressource Wissen. Die Digitalisierung dieses Wissens – und das umfasst nicht das Einscannen von Dokumenten und ihre …

Authors:
Ulf Schirmer-Kaegebein, Stefan Reinheimer

16-12-2020 | Original Paper Open Access

Systems modelling to support the complex nature of healthcare services

Healthcare is a service commonly associated with lacking performance in relation to output and the economy of production. Contingency theory and complex systems thinking are approaches here combined to study the logistics of healthcare service …

Authors:
Per Engelseth, B. E. White, Ingunn Mundal, Trude Fløystad Eines, Duangpun Kritchanchai

15-12-2020 | Original Empirical Research Open Access

Corporate social responsibility in luxury contexts: potential pitfalls and how to overcome them

Recent marketing research has identified mixed effects of luxury companies’ corporate social responsibility (CSR) engagement on customer-level outcomes. To gain a better understanding of these effects, we develop a conceptual framework in which we …

Authors:
Jenni Sipilä, Sascha Alavi, Laura Marie Edinger-Schons, Sabrina Dörfer, Christian Schmitz

11-12-2020 | Information Technology

Four-Stage Framework for Implementing a Chatbot System in Disaster Emergency Operation Data Management: A Flood Disaster Management Case Study

This research proposes a four-stage consultant framework for applying a chatbot as a data management system. With the advancement of computational power and data storage technology, the increasing amount of data makes the issue of data management …

Authors:
Meng-Han Tsai, Cheng-Hsuan Yang, James Yichu Chen, Shih-Chung Kang

09-12-2020 | Issue 4/2020 Open Access

Social practices in teacher knowledge creation and innovation adoption: a large-scale study in an online instructional design community for inquiry learning

Social practices are assumed to play an important role in the evolution of new teaching and learning methods. Teachers internalize knowledge developed in their communities through interactions with peers and experts while solving problems or …

Authors:
María Jesús Rodríguez-Triana, Luis P. Prieto, Tobias Ley, Ton de Jong, Denis Gillet

08-12-2020 | OPEN FORUM Open Access

What does it mean to embed ethics in data science? An integrative approach based on the microethics and virtues

In the past few years, scholars have been questioning whether the current approach in data ethics based on the higher level case studies and general principles is effective. In particular, some have been complaining that such an approach to ethics …

Authors:
Louise Bezuidenhout, Emanuele Ratti

07-12-2020 | Commentary Open Access

Criteria for item selection for a preference-based measure for use in economic evaluation

Preference-based measures allow patients to report their level of health, and the responses are then scored using preference weights from a representative general population sample for use in cost utility analysis. The development process of new …

Authors:
Tessa Peasgood, Clara Mukuria, Jill Carlton, Janice Connell, John Brazier

06-12-2020 | Original Paper Open Access

Building information modelling knowledge harvesting for energy efficiency in the Construction industry

Construction is an information-intensive industry. This wealth of information is used to design, construct, operate, and decommission buildings. The advent of the Internet and its by-products, mainly social media and the IoT (Internet of Things) …

Authors:
Andrei Hodorog, Ioan Petri, Yacine Rezgui, Jean-Laurent Hippolyte

06-12-2020 Open Access

Digital Nudging in Social Media Disaster Communication

Social media has become an important channel of communication in emergency and disaster management. Emergency Management Agencies can distribute helpful and important information to the general public and also gather information to enrich their …

Authors:
Milad Mirbabaie, Christian Ehnis, Stefan Stieglitz, Deborah Bunker, Tanja Rose

05-12-2020 Open Access

Not just the facts: an index for measuring the information density of political communication

Misinformation and biased opinion-formation plague contemporary politics. Fact-checking, the process of verifying accuracy of political claims, is now an expanding reseach area, but the methodology is underdeveloped. While the journalistic …

Authors:
Lauri Rapeli, Sakari Nieminen, Marko Mäkelä

04-12-2020 | Research Open Access

Digital Supply Chain Management in the Videogames Industry: A Systematic Literature Review

As industries mature, they rely more heavily on supply chain management (SCM) to ensure effective operations leading to greater levels of organisational performance. SCM has been widely covered in many industrial areas and, in line with other …

Authors:
Stephen Kelly, Vojtech Klézl, John Israilidis, Neil Malone, Stuart Butler

04-12-2020 | Original Research | Issue 3/2020 Open Access

Sustaining the current or pursuing the new: incumbent digital transformation strategies in the financial service industry

A configurational perspective on firm performance

Digital transformation (DT) is a major challenge for traditional companies. Despite the term, DT is relatively new; its substance is not: a whole stream of research has examined the relationship between DT and firm performance with contradictory …

Author:
Maik Dehnert

03-12-2020 | ORIGINAL ARTICLE | Issue 3-4/2021 Open Access

Intelligent decision-making support system for manufacturing solution recommendation in a cloud framework

Cloud manufacturing represents a valuable tool to enable wide sharing of manufacturing services and solutions by connecting suppliers and customers in large-scale manufacturing networks through a cloud platform. In this context, with increasing …

Authors:
Alessandro Simeone, Yunfeng Zeng, Alessandra Caggiano

01-12-2020 | Research | Issue 1/2020 Open Access

Decision-makers impact on the internationalization of high-technology firms in emerging markets

This study examines the impact of decision-makers from Paraguayan software firms on internationalization. It aims to have a better understanding about the (non-) rational decision logic of the CEOs and founders shaping the internationalization …

Authors:
Michael Neubert, Augustinus Stijn Van Der Krogt

01-12-2020 | Original Article | Issue 1/2020

Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums

Depression is the most common mental illness in the US, with 6.7% of all adults experiencing a major depressive episode. Unfortunately, depression extends to teens and young users as well and researchers have observed an increasing rate in recent …

Authors:
Anu Shrestha, Edoardo Serra, Francesca Spezzano

01-12-2020 | Original Article | Issue 1/2020

Using Twitter to raise the profile of childhood cancer awareness month

One of the best-known examples of a campaign to raise awareness about pediatric disease is childhood cancer awareness month (CCAM). This study uses cross-sectional, descriptive-analytical methodology to explore how Twitter was employed during …

Authors:
Mohsen Yoosefi Nejad, Maryam Sadat Delghandi, Ahmed Omar Bali, Mehdi Hosseinzadeh

01-12-2020 | Original Article | Issue 1/2020

A comparison and analysis of the Twitter discourse related to weight loss and fitness

More than 30% of the world population is concerned with the problem of overweight. Social media can play a role in human health by offering them correct food patterns and increasing their awareness about different features of appropriate food and …

Authors:
Shabnam Shadroo, Mohsen Yoosefi Nejad, Ahmed Omar Bali, Mehdi Hosseinzadeh, Maryam sadat Delghandi

01-12-2020 | Original Article | Issue 1/2020

Using Twitter for diabetes community analysis

Social media platforms have become a common venue for sharing experiences and knowledge about health-related topics. This research focuses on examining social media-based communication patterns related to diabetes on the Twitter platform.

Authors:
Krunal Dhiraj Patel, Kazi Zainab, Andrew Heppner, Gautam Srivastava, Vijay Mago

01-12-2020 | Original Article | Issue 1/2020

Enhancing convolution-based sentiment extractor via dubbed N-gram embedding-related drug vocabulary

Everyday patients’ narratives on social media can reveal crucial public health issues. Mining those online narratives, which remained so far unconsidered, may mirror further hidden patient health status. Deep learning-based sentiment analysis (SA) …

Authors:
Hanane Grissette, El Habib Nfaoui

01-12-2020 | Original Article | Issue 1/2020

Disease discovery-based emotion lexicon: a heuristic approach to characterise sicknesses in microblogs

The analysis of microblogging data has been widely used to discover valuable resources for timely identification of critical illness-related incidents and serious epidemics. Despite the numerous efforts made in this field, making an accurate and …

Authors:
Samer Muthana Sarsam, Hosam Al-Samarraie, Ahmed Al-Sadi

01-12-2020 | Original Article | Issue 1/2020

Web Information Extraction for Finding Remedy Based on a Patient-Authored Text: A Study on Homeopathy

Automatic medical diagnosis and remedy finding is an active research area for decades. The increasing trend of finding health remedies through the internet emerged the necessity of research on the analysis of the patient-authored text. Focussed …

Authors:
Ankur Priyadarshi, Sujan Kumar Saha

01-12-2020 | Original Article | Issue 1/2020

A real-time biosurveillance mechanism for early-stage disease detection from microblogs: a case study of interconnection between emotional and climatic factors related to migraine disease

For many years, certain climatic factors have been used to predict potential disease outcomes of relevance to humans. This is because early discovery of disease (or its symptoms) would help people or healthcare professionals to take the necessary …

Authors:
Samer Muthana Sarsam, Hosam Al-Samarraie, Nurzali Ismail, Fahed Zaqout, Bianca Wright

01-12-2020 | Research | Issue 1/2020 Open Access

Toward multi-label sentiment analysis: a transfer learning based approach

Sentiment analysis is recognized as one of the most important sub-areas in Natural Language Processing (NLP) research, where understanding implicit or explicit sentiments expressed in social media contents is valuable to customers, business …

Authors:
Jie Tao, Xing Fang

01-12-2020 | Research | Issue 1/2020 Open Access

Sandbox security model for Hadoop file system

Extensive usage of Internet based applications in day to day life has led to generation of huge amounts of data every minute. Apart from humans, data is generated by machines like sensors, satellite, CCTV etc. This huge collection of heterogeneous …

Authors:
Gousiya Begum, S. Zahoor Ul Huq, A. P. Siva Kumar

01-12-2020 | Research | Issue 1/2020 Open Access

Data science: developing theoretical contributions in information systems via text analytics

Scholars have been increasingly calling for innovative research in the organizational sciences in general, and the information systems (IS) field in specific, one that breaks from the dominance of gap-spotting and specific methodical confinements.

Authors:
Aya Rizk, Ahmed Elragal

01-12-2020 | Research | Issue 1/2020 Open Access

Inferring the votes in a new political landscape: the case of the 2019 Spanish Presidential elections

The avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only their value, but also their limits.

Authors:
Didier Grimaldi, Javier Diaz Cely, Hugo Arboleda

01-12-2020 | Research | Issue 1/2020 Open Access

Current landscape and influence of big data on finance

Big data is one of the most recent business and technical issues in the age of technology. Hundreds of millions of events occur every day. The financial field is deeply involved in the calculation of big data events. As a result, hundreds of …

Authors:
Md. Morshadul Hasan, József Popp, Judit Oláh

01-12-2020 | Research | Issue 1/2020 Open Access

Understanding the development trends of big data technologies: an analysis of patents and the cited scholarly works

Big data innovation is a key instrument for economic and social development and for the creation of new business opportunities. This study analyzes the patenting activities of global jurisdictions in the field of big data; as well as the scholarly …

Authors:
Tahereh Saheb, Tayebeh Saheb

01-12-2020 | Research | Issue 1/2020 Open Access

Predictability analysis of the Pound’s Brexit exchange rates based on Google Trends data

During the last decade, the use of online search traffic data is becoming popular in examining, analyzing, and predicting human behavior, with Google Trends being a popular tool in monitoring and analyzing the users' online search patterns in …

Authors:
Amaryllis Mavragani, Konstantinos Gkillas, Konstantinos P. Tsagarakis

01-12-2020 | Research | Issue 1/2020 Open Access

Using Big Data-machine learning models for diabetes prediction and flight delays analytics

In recent decades, increasingly large amounts of data are generated from a variety of sources. The size of generated data per day on the Internet has already exceeded two Exabyte. Within 1 min, 72 h of videos are uploaded to YouTube, around 30.000 …

Authors:
Thérence Nibareke, Jalal Laassiri

01-12-2020 | Research | Issue 1/2020 Open Access

Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study

Given the growing importance of customer behavior in the business market nowadays, telecom operators focus not only on customer profitability to increase market share but also on highly loyal customers as well as customers who are churn. The …

Authors:
Wissam Nazeer Wassouf, Ramez Alkhatib, Kamal Salloum, Shadi Balloul

01-12-2020 | Research | Issue 1/2020 Open Access

Argument annotation and analysis using deep learning with attention mechanism in Bahasa Indonesia

Argumentation mining is a research field which focuses on sentences in type of argumentation. Argumentative sentences are often used in daily communication and have important role in each decision or conclusion making process. The research …

Authors:
Derwin Suhartono, Aryo Pradipta Gema, Suhendro Winton, Theodorus David, Mohamad Ivan Fanany, Aniati Murni Arymurthy

01-12-2020 | Research | Issue 1/2020 Open Access

Composing high-level stream processing pipelines

The growing number of Internet of Things (IoT) devices provide a massive pool of sensing data. However, turning data into actionable insights is not a trivial task, especially in the context of IoT, where application development itself is complex.

Author:
Tanmaya Mahapatra

01-12-2020 | Research | Issue 1/2020 Open Access

Time-aware domain-based social influence prediction

Online social networks have established virtual platforms enabling people to express their opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate users as well as spammers and other untrustworthy users to …

Authors:
Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal

01-12-2020 | Research | Issue 1/2020 Open Access

Uncovering trend-based research insights on teaching and learning in big data

Along with the big data era, digital transformation has had a transformative effect on modern education tremendously in higher education. It transforms an institutional core value of education to better meet students’ needs by leveraging big data …

Author:
Young-Eun Park

01-12-2020 | Research | Issue 1/2020 Open Access

Group based emotion recognition from video sequence with hybrid optimization based recurrent fuzzy neural network

Group-based emotion recognition (GER) is an interesting topic in both security and social area. In this paper, a GER with hybrid optimization based recurrent fuzzy neural network is proposed which is from video sequence. In our work, by utilizing …

Authors:
Velagapudi Sreenivas, Varsha Namdeo, E. Vijay Kumar

01-12-2020 | Survey Paper | Issue 1/2020 Open Access

A comprehensive survey of anomaly detection techniques for high dimensional big data

Anomaly detection in high dimensional data is becoming a fundamental research problem that has various applications in the real world. However, many existing anomaly detection techniques fail to retain sufficient accuracy due to so-called “big …

Authors:
Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt (Jack) Singh

01-12-2020 | Research | Issue 1/2020 Open Access

A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench

Big Data analytics for storing, processing, and analyzing large-scale datasets has become an essential tool for the industry. The advent of distributed computing frameworks such as Hadoop and Spark offers efficient solutions to analyze vast …

Authors:
N. Ahmed, Andre L. C. Barczak, Teo Susnjak, Mohammed A. Rashid

01-12-2020 | Research | Issue 1/2020 Open Access

Application of big data analytics and organizational performance: the mediating role of knowledge management practices

Drawing from tenets of the resource-based theory, we propose and test a model that examines the relationship between the application of big data analytics (ABDA) and organizational performance (OP) in small and medium enterprises (SMEs). Further …

Authors:
Muhammad Qasim Shabbir, Syed Babar Waheed Gardezi

01-12-2020 | Research | Issue 1/2020 Open Access

Using real-time online preprocessed mouse tracking for lower storage and transmission costs

Pageview is the most popular webpage analytic metric in all sectors including blogs, business, e-commerce, education, entertainment, research, social media, and technology. To perform deeper analysis, additional methods are required such as mouse …

Authors:
Fajar Purnama, Tsuyoshi Usagawa

01-12-2020 | Research | Issue 1/2020 Open Access

Investigating the relationship between time and predictive model maintenance

A majority of predictive models should be updated regularly, since the most recent data associated with the model may have a different distribution from that of the original training data. This difference may be critical enough to impact the …

Authors:
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya

01-12-2020 | Short Report | Issue 1/2020 Open Access

Extending reference architecture of big data systems towards machine learning in edge computing environments

Many big data systems have been developed and realised to provide end user services (Netflix, Facebook, Twitter, LinkedIn etc.). Also, underlying architectures and technologies of the enabling systems have been published [ 1 – 3 ], and RAs have …

Authors:
P. Pääkkönen, D. Pakkala

01-12-2020 | Research | Issue 1/2020 Open Access

Criminal tendency detection from facial images and the gender bias effect

Explosive performance and memory space growth in computing machines, along with recent specialization of deep learning models have radically boosted the role of images in semantic pattern recognition. In the same way that a textual post on social …

Authors:
Mahdi Hashemi, Margeret Hall

01-12-2020 | Methodology | Issue 1/2020 Open Access

Big data actionable intelligence architecture

The amount of data produced by sensors, social and digital media, and Internet of Things (IoTs) are rapidly increasing each day. Decision makers often need to sift through a sea of Big Data to utilize information from a variety of sources in order …

Authors:
Tian J. Ma, Rudy J. Garcia, Forest Danford, Laura Patrizi, Jennifer Galasso, Jason Loyd

01-12-2020 | Research Article | Issue 6/2020

Matching user identities across social networks with limited profile data

Privacy preservation is a primary concern in social networks which employ a variety of privacy preservations mechanisms to preserve and protect sensitive user information including age, location, education, interests, and others. The task of …

Authors:
Ildar Nurgaliev, Qiang Qu, Seyed Mojtaba Hosseini Bamakan, Muhammad Muzammal

01-12-2020 | Research Article | Issue 6/2020

Text-enhanced network representation learning

Network representation learning called NRL for short aims at embedding various networks into low-dimensional continuous distributed vector spaces. Most existing representation learning methods focus on learning representations purely based on the …

Authors:
Yu Zhu, Zhonglin Ye, Haixing Zhao, Ke Zhang

01-12-2020 | Research | Issue 1/2020 Open Access

CFDSD: a Communication Framework for Distributed Software Development

Due to geographical and/or temporal dispersion, communication between teams in distributed software projects is a critical factor for success. Notably, distributed teams suffer adverse physical and temporal dispersion effects during an information …

Authors:
Alexandre L’Erario, José Antônio Gonçalves, José Augusto Fabri, Tiago Pagotto, Rodrigo Henrique Cunha Palácios

01-12-2020 | Research | Issue 1/2020 Open Access

Smart multimedia learning of ICT: role and impact on language learners’ writing fluency— YouTube online English learning resources as an example

This work seeks to determine if and how much the smart learning environment of Information and Communications Technology (ICT) tools like YouTube can help improve learners’ fluency of language use and expression in their daily written …

Author:
Azzam Alobaid

01-12-2020 | Forum | Issue 12/2020

Corona-Eindämmung in Taiwan

Nur digitale Tools?

Taiwan war mehr als andere Länder durch die Corona-Pandemie gefährdet, konnte die Pandemie aber erfolgreich eindämmen. Digitale Tools spielten dabei eine wichtige, aber keine ausschließliche Rolle. Doch wie sieht es mit dem Datenschutz aus?

Author:
PhD Nicholas Martin

01-12-2020 | Good Practice | Issue 12/2020

Datensparsame Datenübertragbarkeit

Die Datenübertragbarkeit i.S.v. Art. 20 Datenschutz-Grundverordnung (DSGVO) stellt Unternehmen vor große Herausforderungen. Dies führt dazu, dass die Datenübertragbarkeit derzeit kaum gewährleistet wird bzw. werden kann. Das Modell der …

Author:
Maurice Oettel

01-12-2020 | Research | Issue 1/2020 Open Access

Developing an online hate classifier for multiple social media platforms

The proliferation of social media enables people to express their opinions widely online. However, at the same time, this has resulted in the emergence of conflict and hate, making online environments uninviting for users. Although researchers …

Authors:
Joni Salminen, Maximilian Hopf, Shammur A. Chowdhury, Soon-gyo Jung, Hind Almerekhi, Bernard J. Jansen

01-12-2020 | Case study | Issue 3/2020

Emergency remote teaching during Coronavirus pandemic: the current trend and future directive at Middle East College Oman

Due to COVID-19 outbreaks worldwide, the academic institutions have been enforced to entirely cancel face-to-face teaching including laboratories and other learning experiences as a mitigation step against the risk posed by the Coronavirus.

Authors:
Abdalellah O. Mohmmed, Basim A. Khidhir, Abdul Nazeer, Vigil J. Vijayan

01-12-2020 | Research | Issue 1/2020 Open Access

Studying gas exceptions in blockchain-based cloud applications

Blockchain-based cloud application (BCP) is an emerging cloud application architecture. By moving trust-critical functions onto blockchain, BCP offers unprecedented function transparency and data integrity. Ethereum is by far the most popular …

Authors:
Chao Liu, Jianbo Gao, Yue Li, Huihui Wang, Zhong Chen

01-12-2020 | Research | Issue 1/2020 Open Access

Providing privacy preserving in next POI recommendation for Mobile edge computing

Point of interest (POI) recommendation can benefit users and merchants. It is a very important and popular service in modern life. In this paper, we aim to study the next new POI recommendation problem with the consideration of privacy preserving …

Authors:
Li Kuang, Shenmei Tu, Yangqi Zhang, Xiaoxian Yang

01-12-2020 | Research | Issue 1/2020 Open Access

ConvLSTMConv network: a deep learning approach for sentiment analysis in cloud computing

The rapid development of social media, and special websites with critical reviews of products have created a huge collection of resources for customers all over the world. These data may contain a lot of information including product reviews …

Authors:
Mohsen Ghorbani, Mahdi Bahaghighat, Qin Xin, Figen Özen

01-12-2020 | Research | Issue 1/2020 Open Access

A hybrid recommendation model in social media based on deep emotion analysis and multi-source view fusion

The recommendation system is an effective means to solve the information overload problem that exists in social networks, which is also one of the most common applications of big data technology. Thus, the matrix decomposition recommendation model …

Authors:
Liang Jiang, Lu Liu, Jingjing Yao, Leilei Shi

01-12-2020 | Research | Issue 1/2020 Open Access

A user interest community evolution model based on subgraph matching for social networking in mobile edge computing environments

With the rapid development of mobile edge computing, mobile social networks are gradually infiltrating into our daily lives, in which the communities are an important part of social networks. Internet of People such as online social networks is …

Authors:
Liang Jiang, Lu Liu, Jingjing Yao, Leilei Shi

01-12-2020 | Research | Issue 1/2020 Open Access

Do the stock returns of clean energy corporations respond to oil price shocks and policy uncertainty?

This paper investigates the effects of oil price shocks and policy uncertainty on the stock returns of clean energy companies. We use a structural vector autoregressive (VAR) model to separate demand and supply shocks in the global crude oil …

Author:
Xiaohui Zhao

01-12-2020 | Research | Issue 1/2020 Open Access

Learning deep networks with crowdsourcing for relevance evaluation

In this paper, we propose a novel relevance evaluation method using labels collected from crowdsourcing. The proposed method not only predicts the relevance between query texts and responses in information retrieval systems but also performs the …

Authors:
Ming Wu, Xiaochun Yin, Qianmu Li, Jing Zhang, Xinqi Feng, Qi Cao, Haiyuan Shen

01-12-2020 | Research | Issue 1/2020 Open Access

A new model for calculating the maximum trust in Online Social Networks and solving by Artificial Bee Colony algorithm

The social networks are widely used by millions of people worldwide. The trust concept is one of the most important issues in Social Network Analysis (SNA) which highly affects the quantity and quality of the inter-connections, decisions, and …

Author:
Shahram Saeidi

01-12-2020 | Research | Issue 1/2020 Open Access

A model of opinion and propagation structure polarization in social media

The issue of polarization in online social media has been gaining attention in recent years amid the changing political landscapes of many parts of the world. Several studies empirically observed the existence of echo chambers in online social …

Authors:
Hafizh A. Prasetya, Tsuyoshi Murata

01-12-2020 | Regular article | Issue 1/2020 Open Access

The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series

We introduce a qualitative, shape-based, timescale-independent time-domain transform used to extract local dynamics from sociotechnical time series—termed the Discrete Shocklet Transform (DST)—and an associated similarity search routine, the …

Authors:
David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, Peter Sheridan Dodds

01-12-2020 | Regular article | Issue 1/2020 Open Access

Which politicians receive abuse? Four factors illuminated in the UK general election 2019

The 2019 UK general election took place against a background of rising online hostility levels toward politicians, and concerns about the impact of this on democracy, as a record number of politicians cited the abuse they had been receiving as a …

Authors:
Genevieve Gorrell, Mehmet E. Bakir, Ian Roberts, Mark A. Greenwood, Kalina Bontcheva

01-12-2020 | Regular article | Issue 1/2020 Open Access

Success and luck in creative careers

Luck is considered a crucial ingredient to achieve impact in all creative domains, despite their diversity. For instance, in science, the movie industry, music, and art, the occurrence of the highest impact work and a hot streak within a creative …

Authors:
Milán Janosov, Federico Battiston, Roberta Sinatra

01-12-2020 | Regular article | Issue 1/2020 Open Access

Fake news propagates differently from real news even at early stages of spreading

Social media can be a double-edged sword for society, either as a convenient channel exchanging ideas or as an unexpected conduit circulating fake news through a large population. While existing studies of fake news focus on theoretical modeling …

Authors:
Zilong Zhao, Jichang Zhao, Yukie Sano, Orr Levy, Hideki Takayasu, Misako Takayasu, Daqing Li, Junjie Wu, Shlomo Havlin

01-12-2020 | Regular article | Issue 1/2020 Open Access

A multi-layer approach to disinformation detection in US and Italian news spreading on Twitter

We tackle the problem of classifying news articles pertaining to disinformation vs mainstream news by solely inspecting their diffusion mechanisms on Twitter. This approach is inherently simple compared to existing text-based approaches, as it …

Authors:
Francesco Pierri, Carlo Piccardi, Stefano Ceri

01-12-2020 | Regular article | Issue 1/2020 Open Access

Modeling and predicting evacuation flows during hurricane Irma

Evacuations are a common practice to mitigate the potential risks and damages made by natural disasters. However, without proper coordination and management, evacuations can be inefficient and cause negative impact. Local governments and …

Authors:
Lingzi Hong, Vanessa Frias-Martinez

01-12-2020 | Regular article | Issue 1/2020 Open Access

The great divide: drivers of polarization in the US public

Many democratic societies have become more politically polarized, with the U.S. being the main example. The origins of this phenomenon are still not well-understood and subject to debate. To provide insight into some of the mechanisms underlying …

Authors:
Lucas Böttcher, Hans Gersbach

01-12-2020 | Regular article | Issue 1/2020 Open Access

Estimating tie strength in social networks using temporal communication data

Even though the concept of tie strength is central in social network analysis, it is difficult to quantify how strong social ties are. One typical way of estimating tie strength in data-driven studies has been to simply count the total number or …

Authors:
Javier Ureña-Carrion, Jari Saramäki, Mikko Kivelä

01-12-2020 | Regular article | Issue 1/2020 Open Access

Mapping socioeconomic indicators using social media advertising data

The United Nations Sustainable Development Goals (SDGs) are a global consensus on the world’s most pressing challenges. They come with a set of 232 indicators against which countries should regularly monitor their progress, ensuring that everyone …

Authors:
Masoomali Fatehkia, Isabelle Tingzon, Ardie Orden, Stephanie Sy, Vedran Sekara, Manuel Garcia-Herranz, Ingmar Weber

01-12-2020 | Regular article | Issue 1/2020 Open Access

Human biases in body measurement estimation

Body measurements, including weight and height, are key indicators of health. Being able to visually assess body measurements reliably is a step towards increased awareness of overweight and obesity and is thus important for public health.

Authors:
Kirill Martynov, Kiran Garimella, Robert West

01-12-2020 | Regular article | Issue 1/2020 Open Access

Estimating community feedback effect on topic choice in social media with predictive modeling

Social media users post content on various topics. A defining feature of social media is that other users can provide feedback—called community feedback—to their content in the form of comments, replies, and retweets. We hypothesize that the …

Authors:
David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz

01-12-2020 | Regular article | Issue 1/2020 Open Access

Enriching feature engineering for short text samples by language time series analysis

In this case study, we are extending feature engineering approaches for short text samples by integrating techniques which have been introduced in the context of time series classification and signal processing. The general idea of the presented …

Authors:
Yichen Tang, Kelly Blincoe, Andreas W. Kempa-Liehr

01-12-2020 | Regular article | Issue 1/2020 Open Access

Public debate in the media matters: evidence from the European refugee crisis

In this paper, we take a novel approach to study the empirical relationship between public debate in the media and asylum acceptance rates in Europe from 2002–2016. In theory, an asylum seeker should experience the same likelihood of being granted …

Authors:
Caleb M. Koch, Izabela Moise, Dirk Helbing, Karsten Donnay

01-12-2020 | Regular article | Issue 1/2020 Open Access

PepMusic: motivational qualities of songs for daily activities

Music can motivate many daily activities as it can regulate mood, increase productivity and sports performance, and raise spirits. However, we know little about how to recommend songs that are motivational for people given their contexts and …

Authors:
Yongsung Kim, Luca Maria Aiello, Daniele Quercia
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