Time-Series Analysis of Video Comments on Social Media
Kazuyuki Matsumoto, Hayato Shimizu, Minoru Yoshida, Kenji Kita · InTech eBooks · 2017
In this study, we propose a method to detect unfair rating cheat caused by multiple comment postings focusing on time-series analysis of the number of comments. We defined the videos that obtained a lot of comments by unfair cheat as ‘unfair video’ and defined the videos which obtained without unfair cheat as ‘popular video’. Specifically, our proposed method focused on the difference of chronological distributions of the comments between the popular videos and the unfair videos. As the evaluation result, our proposed method could obtain higher accuracy than that of the baseline method.