Social-Media

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 …

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 …

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.

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 …

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 …

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 …

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 …

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 …

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.

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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) …

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 …

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 …

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 …

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; …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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.

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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) …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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.

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) …

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 …

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 …

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 …

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 …

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 …

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.

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.

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 …

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 …

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 …

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 …

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 …

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 …

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.

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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?

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 …

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 …

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.

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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.

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 …

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 …

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 …

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 …