COMTEX: Context in Anonymous Short Texts

Today’s digital day-to-day communication is dominated by short text exchanges. Recently, anonymous communication platforms are emerging and have found widespread adoption. Anonymous communication largely lacks metadata and opens questions concerning efficient methods. This project brings together linguistic, sociological and computational expertise to explore a methodology for investigating social patterns of online communities as they manifest in linguistic behavior with the long-term goal of developing computational mechanisms safeguarding against anti-social behavior. The main outcome of the project will be a first understanding of the problems and possible solutions for determining context in anonymous short message exchanges. Ultimately, this knowledge of the social and linguistic patterns in online communities could be of use not just for retrospectively explaining (anti-)social behavior in such communities but also proactively for designing platforms.

COMTEX is a cooperation with English Linguistics and the Department of Sociology.



Publications

Hashtag Usage in a Geographically-Local Microblogging App. Companion Proceedings of the 2019 World Wide Web Conference (WWW ‘19 Companion), San Francisco, California, USA. May 2019.
Hi Doppelgänger: Towards Detecting Manipulation in News Comments. Proceedings of the 4th Workshop on Computational Methods in Online Misbehavior (CyberSafety ‘19), May 13 - May 13, 2019, San Francisco, CA, USA. Event co-located with the 28th World Wide Web Conference (WWW '19). May 2019.