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 behaviour with the long-term goal of developing computational mechanisms safeguarding against anti-social behaviour. 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 behaviour in such communities but also proactively for designing platforms.

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


Funded by the Excellence Initiative of the German federal and state governments.



COMTEX Publications

Jan Pennekamp, Martin Henze, Oliver Hohlfeld and Andriy Panchenko
Companion Proceedings of the 2019 World Wide Web Conference (WWW '19 Companion), 4th Workshop on Computational Methods in Online Misbehavior (CyberSafety '19), May 13–17, 2019, San Francisco, CA, USA, page 197-205.
Publisher: ACM,
May 2019
ISBN: 978-1-4503-6675-5/19/05
Helge Reelfs, Timon Mohaupt, Oliver Hohlfeld and Niklas Henckell
Hashtag Usage in a Geographically-Local Microblogging App
WWW LocWeb,
ISBN: 978-1-4503-6675-5/19/05
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