Since the emergence of Web 2.0, the idea of online knowledge sharing has been gaining attention of researchers and online communities. We can observe the popularity of such services on Wikipedia and numerous Q&A systems, in which ordinary users can explicitly ask questions and provide answers thus raise their expertise level by learning from others. Users dynamically switch between roles of content producer and content consumer. This paper applies game-theoretic approach to study how different community member profiles and reputation can affect the learning process and, in consequence, credibility of the provided information. © 2014 Springer International Publishing.
CITATION STYLE
Kowalik, G., Adamska, P., Nielek, R., & Wierzbicki, A. (2014). Simulations of credibility evaluation and learning in a web 2.0 community. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8468 LNAI, pp. 373–384). Springer Verlag. https://doi.org/10.1007/978-3-319-07176-3_33
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