Online content credibility evaluation and demo of Reconcile open platform
MARIA RAFALAK (MSc): Polish- Japanese Institute of Information Technology (PJIIT), Warsaw, Poland
RADOSŁAW NIELEK (PhD): Polish- Japanese Institute of Information Technology (PJIIT); Warsaw
Internet is currently the most popular source of information. But with the overabundance of online content much of Web content cannot be trusted. In this tutorial we will outline existing research dedicated to website credibility evaluations – pointing out main research trends and discussing major findings in this area so far. We would also like to demonstrate functioning of Reconcile (http://www.reconcile.pl) system which is an open platform developed by Social Informatics research team from Polish-Japanese Institute of Information Technology. Reconcile is an online tool designed to support credibility evaluations of Web content.
The tutors would like to kindly ask all prospective participants to register at http://sourceforge.net/projects/reconcile2011/ in order to get access to Reconcile documentation.
- Introduction and basic definitions (information credibility, information controversy)
- Factors affecting website credibility evaluations (sites’ and users’ features)
- Supporting web credibility evaluations (user expertise, crowdsourcing systems, certifications)
- How to measure credibility – discussion of aggregation measures
- Reconcile system demonstration and case study results
- Fogg, B., (2003) Prominence-interpretation theory: explaining how people assess credibility online. CHI'03 extended abstracts on human factors in computing systems, ACM, 722-723.
- Kostakos, V. (2009) Is the crowd's wisdom biased? a quantitative analysis of three online communities. Computational Science and Engineering, CSE'09, 251-255.
- Kakol, M., Jankowski-Lorek, M., Abramczuk, K., Wierzbicki, A., Catasta, M. (2013) On the subjectivity and bias of web content credibility evaluations. Proceedings of the 22nd international conference on World Wide Web companion, 1131-1136.
- Rafalak, M., Abramczuk, K., Wierzbicki, A. (2014). Incredible: Is (Almost) All Web Content Trustworthy? Analysis of Psychological Factors Related to Website Credibility Evaluation, Proceedings of the 24th international conference on World Wide Web companion, 1117-1195.
- Xin L., Anwitaman D., Ee-Peng L. (2014). Computational Trust Models and Machine Learning. Chapman & Hall/CRC Machine Learning & Pattern Recognition.
ABOUT THE TUTORS
Maria Rafalak holds a Master’s Degree in Psychology from the University of Warsaw, where she completed a specialization path dedicated to applied psychometrics. She simultaneously reached a B.Sc. Degree in Informatics and Econometrics at the Warsaw University of Life Sciences. Since 2013 she has been a PhD candidate at Polish-Japanese Institute of Information Technology (PJIIT) where she studies human online behavior with a focus on website credibility evaluations. Maria also holds post of test specialist at Polish Psychological Tests Laboratory.
|Radoslaw Nielek is currently an assistant professor at Polish-Japanese Institute of Information Technology (PJIIT). He received his Ph.D. degree from Polish- Japanese Institute of Information Technology (PJIIT) Warsaw, Poland. His Ph.D. thesis is titled "Designing Algorithms for Realising Social Goals". He held a Bachelor's Degree in Pro- duction Engineering and Management of Szczecin University of Technology and Master's Degree in Computer Science of PJIIT. His research interests include social simulation, trust management and opinion mining. He is a Vice President of Zetema Inc., a technological company focused on NLP solutions.|