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2016 | Buch

What Do People Expect from a Financial Awareness Platform? Insights from an Online Survey Kapitel lesen Erstes Kapitel lesen

Collective Online Platforms for Financial and Environmental Awareness

First International Workshop on the Internet for Financial Collective Awareness and Intelligence, IFIN 2016 and First International Workshop on Internet and Social Media for Environmental Monitoring, ISEM 2016, Florence, Italy, September 12, 2016, Revised Selected Papers

herausgegeben von: Anna Satsiou, Georgios Panos, Ioannis Praggidis, Stefanos Vrochidis, Symeon Papadopoulos, Christodoulos Keratidis, Panagiota Syropoulou, Hai-Ying Liu

Verlag: Springer International Publishing

Buchreihe : Lecture Notes in Computer Science

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book contains the papers presented at the two CAPS (Collective Awareness Platforms for Sustainability and Social Innovation) workshops, namely the First International Workshop on the Internet for Financial Collective Awareness and Intelligence, IFIN 2016, and the First International Workshop on Internet and Social Media for Environmental Monitoring, ISEM 2016, held in Florence, Italy in September 2016. The two workshops were collocated with the third International Conference on Internet Science, INSCI 2016. The 8 papers presented have been carefully reviewed and selected from 13 submissions. The papers of the two workshops although targeting different goals aim at developing platforms promoting awareness on different but critical sustainability issues.

Inhaltsverzeichnis

Frontmatter

IFIN 2016

Frontmatter
What Do People Expect from a Financial Awareness Platform? Insights from an Online Survey
Abstract
The aim of this study is to present the analysis of an online survey that was conducted in order to investigate individual attitudes and requirements from an online financial awareness platform. The survey aimed to elicit users’ self-assessed financial knowledge, financial capability and awareness, along with facets of their financial behaviour. Moreover, it entailed questions capturing attitudes towards technology and internet usage. Specifically, it targeted requirements for specific resources and features of a financial awareness platform, along with explicit motivations and incentives for participating and contributing to the platform of the PROFIT project. The custom-made online survey was completed by 494 respondents from different demographic groups and user groups, i.e., in terms of familiarity and requirements. The results indicate that there is a strong existing need in the market for online financial information and awareness development with online tools.
Georgios A. Panos, Konstantinos Gkrimmotsis, Christoforos Bouzanis, Aikaterini Katmada, Anna Satsiou, Gian-Luca Gasparini, Aurora Prospero, Ioannis Praggidis, Eirini Karapistoli
A Reputation-Based Incentive Mechanism for a Crowdsourcing Platform for Financial Awareness
Abstract
This paper presents the design of an incentive mechanism for the so-called PROFIT platform, a crowdsourcing (CS) platform that seeks to promote financial awareness and capability. More specifically, a reputation-based incentive scheme with gamification and social elements, which offers a mix of both implicit and explicit rewards to the most contributive users of the platform, is being proposed here. The incentive mechanism has been designed in a way to appeal to the various different motives of the target users of the platform, in order to encourage their active participation, sustain their interest and engagement, and promote good quality contributions. After reviewing the relevant work regarding incentive mechanisms in CS platforms, we present the rationale behind the design of the proposed scheme, following a five-step approach and presenting the novelties that we introduce, and, lastly, we conclude on some final remarks.
Aikaterini Katmada, Anna Satsiou, Ioannis Kompatsiaris
Predicting Euro Stock Markets
Abstract
Forecasting exercises are mostly concentrated on the point estimation of future realizations of stock returns. In this paper we try to forecast the direction of the Eurostoxx 50. Under a Dynamic Probit framework we test whether subsequent sign reversals can be accurately forecasted. To this end, we make use of industrial portfolios constructed in the spirit of Fama and French. Furthermore, we augment the forecasting models with macroeconomic variables. Finally, we construct a new sentiment index based on the news for Oil prices. Results show, that the out-of-sample forecasting accuracy approximates 80%.
Ioannis Praggidis, Vasilios Plakandaras, Eirini Karapistoli
On the Quality of Annotations with Controlled Vocabularies
Abstract
Corpus analysis and controlled vocabularies can benefit from each other in different ways. Usually, a controlled vocabulary is assumed to be in place and is used for improving the processing of a corpus. However, in practice the controlled vocabularies may be not available or domain experts may be not satisfied with their quality. In this work we investigate how one could measure how well a controlled vocabulary fits a corpus. For this purpose we find all the occurrences of the concepts from a controlled vocabulary (in form of a thesaurus) in each document of the corpus. After that we try to estimate the density of information in documents through the keywords and compare it with the number of concepts used for annotations. The introduced approach is tested with a financial thesaurus and corpora of financial news.
Heidelinde Hobel, Artem Revenko

ISEM 2016

Frontmatter
Compressing Web Geodata for Real-Time Environmental Applications
Abstract
The advent of connected mobile devices has caused an unprecedented availability of geo-referenced user-generated content, which can be exploited for environment monitoring. In particular, Augmented Reality (AR) mobile applications can be designed to enable citizens collect observations, by overlaying relevant meta-data on their current view. This class of applications rely on multiple meta-data, which must be properly compressed for transmission and real-time usage. This paper presents a two-stage approach for the compression of Digital Elevation Model (DEM) data and geographic entities for a mountain environment monitoring mobile AR application. The proposed method is generic and could be applied to other types of geographical data.
Claudio Cavallaro, Roman Fedorov, Carlo Bernaschina, Piero Fraternali
Analysis of Public Interest in Environmental Health Information: Fine Tuning Content for Dissemination via Social Media
Abstract
This study conducts a social media analysis, defining a communication strategy for environmental health information, examining how social media outlets can focus information towards desired demographics. Using a Facebook page about Citizens’ Observatories (COs), we reviewed indicators for evaluating public interest in social media content, and evaluated users’ engagement with our COs page. The result is a practical method to promote and enhance the visibility of environmental health information. The major method is to exploit visual material to increase user engagement. The total sum of visits to the page was greatest when visual content was used. We found that environmental health content appeals to adults between 35–44 years of age, equally balanced between men and women. Our findings highlight the importance of up-to-date informational content, the use of visual content and the role of features for interaction and dialogue to ensure user engagement with a Facebook page on environmental health.
Hai-Ying Liu, Irene Eleta, Mike Kobernus, Tom Cole-Hunter
Towards Air Quality Estimation Using Collected Multimodal Environmental Data
Abstract
This paper presents an open platform, which collects multimodal environmental data related to air quality from several sources including official open sources, social media and citizens. Collecting and fusing different sources of air quality data into a unified air quality indicator is a highly challenging problem, leveraging recent advances in image analysis, open hardware, machine learning and data fusion. The collection of data from multiple sources aims at having complementary information, which is expected to result in increased geographical coverage and temporal granularity of air quality data. This diversity of sources constitutes also the main novelty of the platform presented compared with the existing applications.
Anastasia Moumtzidou, Symeon Papadopoulos, Stefanos Vrochidis, Ioannis Kompatsiaris, Konstantinos Kourtidis, George Hloupis, Ilias Stavrakas, Konstantina Papachristopoulou, Christodoulos Keratidis
ENVI4ALL: Personalised Air Quality Information Based on Open Environmental Data and User-Generated Information
Abstract
Air pollution open data has a huge value for citizens, especially these belonging to vulnerable groups. Information on air quality can help them to take better informed decisions that safeguard their health. Although this information is available in multiple sources, in the form that the data is provided, it is difficult for citizens to extract the information they actually need. In addition, existing monitoring stations mainly cover only large cities, and fail to take into account differences in microclimates occurring within a specific area. ENVI4ALL will be an application that addresses these challenges by providing direct access to personalised and localised information on air quality (current, forecast, and historical), making use of diverse sources of large datasets of open air quality data, and crowdsourced information on the perception of app users about the current air quality. An empirical model will be also applied for the provision of air quality forecasts.
Evangelos Kosmidis, Konstantinos Kourtidis, Panagiota Syropoulou
Backmatter
Metadaten
Titel
Collective Online Platforms for Financial and Environmental Awareness
herausgegeben von
Anna Satsiou
Georgios Panos
Ioannis Praggidis
Stefanos Vrochidis
Symeon Papadopoulos
Christodoulos Keratidis
Panagiota Syropoulou
Hai-Ying Liu
Copyright-Jahr
2016
Electronic ISBN
978-3-319-50237-3
Print ISBN
978-3-319-50236-6
DOI
https://doi.org/10.1007/978-3-319-50237-3

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