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Presentation
Identifying Regrettable Messages from Tweets
Proceedings of the 24th International Conference on World Wide Web
  • Lu Zhou, Wright State University - Main Campus
  • Wenbo Wang, Wright State University - Main Campus
  • Keke Chen, Wright State University - Main Campus
Document Type
Conference Proceeding
Publication Date
1-1-2015
Abstract
Inappropriate 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.
Comments

Presented at the 24th International Conference on the World Wide Web, New York, NY, 2015.

DOI
10.1145/2740908.2742735
Citation Information
Lu 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/