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Opinion Conflicts Suman MaityAishik ChakrabortyPawan Goyal2018 год

Opinion Conflicts
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Аннотация: In Twitter, there is a rising trend in abusive behavior which often leads to incivility. This trend is affecting users mentally and as a result they tend to leave Twitter and other such social networking sites thus depleting the active user base. In this paper, we study factors associated with incivility. We observe that the act of incivility is highly correlated with the opinion differences between the account holder (i.e., the user writing the incivil tweet) and the target (i.e., the user for whom the incivil tweet is meant for or targeted), toward a named entity. We introduce a character level CNN model and incorporate the entity-specific sentiment information for efficient incivility detection which significantly outperforms multiple baseline methods achieving an impressive accuracy of 93.3% (4.9% improvement over the best baseline). In a post-hoc analysis, we also study the behavioral aspects of the targets and account holders and try to understand the reasons behind the incivility incidents. Interestingly, we observe that there are strong signals of repetitions in incivil behavior. In particular, we find that there are a significant fraction of account holders who act as repeat offenders - attacking the targets even more than 10 times. Similarly, there are also targets who get targeted multiple times. In general, the targets are found to have higher reputation scores than the account holders.
Год издания: 2018
Авторы: Suman Maity, Aishik Chakraborty, Pawan Goyal, Animesh Mukherjee
Издательство: Association for Computing Machinery
Источник: Proceedings of the ACM on Human-Computer Interaction
Ключевые слова: Hate Speech and Cyberbullying Detection, Social Media and Politics, Cybercrime and Law Enforcement Studies
Другие ссылки: Proceedings of the ACM on Human-Computer Interaction (HTML)
arXiv (Cornell University) (PDF)
arXiv (Cornell University) (HTML)
arXiv (Cornell University) (PDF)
arXiv (Cornell University) (HTML)
DataCite API (HTML)