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@Inproceedings { 2019_pennekamp_doppelganger,
   title = {Hi Doppelg{\"a}nger: Towards Detecting Manipulation in News Comments},
   year = {2019},
   month = {5},
   day = {13},
   pages = {197-205},
   abstract = {Public opinion manipulation is a serious threat to society, potentially influencing elections and the political situation even in established democracies. The prevalence of online media and the opportunity for users to express opinions in comments magnifies the problem. Governments, organizations, and companies can exploit this situation for biasing opinions. Typically, they deploy a large number of pseudonyms to create an impression of a crowd that supports specific opinions. Side channel information (such as IP addresses or identities of browsers) often allows a reliable detection of pseudonyms managed by a single person. However, while spoofing and anonymizing data that links these accounts is simple, a linking without is very challenging. In this paper, we evaluate whether stylometric features allow a detection of such doppelg{\"a}ngers within comment sections on news articles. To this end, we adapt a state-of-the-art doppelg{\"a}ngers detector to work on small texts (such as comments) and apply it on three popular news sites in two languages. Our results reveal that detecting potential doppelg{\"a}ngers based on linguistics is a promising approach even when no reliable side channel information is available. Preliminary results following an application in the wild shows indications for doppelg{\"a}ngers in real world data sets.},
   keywords = {online manipulation; doppelg{\"a}nger detection; stylometry},
   tags = {comtex},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-doppelganger.pdf},
   publisher = {ACM},
   booktitle = {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},
   event_place = {San Francisco, California, USA},
   event_date = {May 13-17, 2019},
   ISBN = {978-1-4503-6675-5/19/05},
   DOI = {10.1145/3308560.3316496},
   reviewed = {1},
   author = {Pennekamp, Jan and Henze, Martin and Hohlfeld, Oliver and Panchenko, Andriy}
}

@Inproceedings { ReelfsMHH2019,
   title = {Hashtag Usage in a Geographically-Local Microblogging App},
   year = {2019},
   month = {5},
   day = {13},
   pages = {919-927},
   keywords = {Anonymous Messaging; Location Based Messaging; User Behavior and Engagement; Information Diffusion; Hashtag},
   tags = {comtex},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-reelfs-jodel-hashtags.pdf},
   publisher = {ACM},
   booktitle = {Companion Proceedings of the 2019 World Wide Web Conference (WWW '19 Companion), 9th International Workshop on Location and the Web (LocWeb '19), May 13–17, 2019, San Francisco, CA, USA},
   event_place = {San Francisco, California, USA},
   event_name = {International Workshop on Location and the Web},
   event_date = {May 13–17, 2019},
   ISBN = {978-1-4503-6675-5/19/05},
   DOI = {10.1145/3308560.3316537},
   reviewed = {1},
   author = {Reelfs, Helge and Mohaupt, Timon and Hohlfeld, Oliver and Henckell, Niklas}
}