A Reputation system for Wikipedia: Starfish

• Main Authors: Guevarra, Czerald G., Jaymalin, Ramon Roberto C., Ruaro, Amity R., Talon, Juan Antonio Gabriel A.
• Format: text
• Language: English
• Published: Animo Repository 2011
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/14442
• Institution: De La Salle University

Wikipedia and other wiki sites are infamous for containing unreliable information because it allows users to freely contribute and edit content at ease. Content-driven reputation systems were developed to determine the reliability of Wikipedia articles by analyzing the stability of these texts and the amount of time these texts remain unedited. However, content-driven reputation systems assume that texts high in trust last longer which could falsely label inaccurate text as credible. Another king of reputation system is user-driven. In contrary to the content-driven systems, this reputation system relies on the user’s inputs to determine the reputation of its users. Nevertheless, it has its own share of flaws such as user feedbacks being subject to bias and uncooperative authors. There is an existing reputation system implemented in mobile ad-hoc networks (MANETs) which provides incentives for nodes to cooperate in the network. This concept can be applied to user-driven reputation systems in order to attend to its flaws by encouraging users to actually give feedback. Tests are conducted to the developed reputation system to evaluate its performance about how much it can withstand collusion from malicious authors. The results show that the system performed adequately to display the reliability of each author and their ratings and contributions.