Identifying Regrettable Messages from TweetsProceedings of the 24th International Conference on World Wide Web
Document TypeConference Proceeding
AbstractInappropriate tweets may cause severe damages on the authors' reputation or privacy. However, many users do not realize the potential damages when publishing such tweets. Published tweets have lasting effects that may not be completely eliminated by simple deletion, because other users may have read them or third-party tweet analysis platforms have cached them. In this paper, we study the problem of identifying regrettable tweets from normal individual users, with the ultimate goal of reducing the occurrences of regrettable tweets. We explore the contents of a set of tweets deleted by sample normal users to understand the regrettable tweets. With a set of features describing the identifiable reasons, we can develop classifiers to effectively distinguish such regrettable tweets from normal tweets.
Citation InformationLu Zhou, Wenbo Wang and Keke Chen. "Identifying Regrettable Messages from Tweets" Proceedings of the 24th International Conference on World Wide Web (2015) p. 145 - 146 ISSN: 9781450334730
Available at: http://works.bepress.com/keke_chen/48/