This file was created by the TYPO3 extension bib --- Timezone: UTC Creation date: 2024-11-21 Creation time: 11-16-36 --- Number of references 2 inproceedings 2019_pennekamp_doppelganger 2019 5 13 197-205 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 doppelgängers within comment sections on news articles. To this end, we adapt a state-of-the-art doppelgängers 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 doppelgängers 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 doppelgängers in real world data sets. online manipulation; doppelgänger detection; stylometry comtex https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-doppelganger.pdf ACM 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 San Francisco, California, USA May 13-17, 2019 978-1-4503-6675-5/19/05 10.1145/3308560.3316496 1 JanPennekamp MartinHenze OliverHohlfeld AndriyPanchenko inproceedings ReelfsMHH2019 2019 5 13 919-927 Anonymous Messaging; Location Based Messaging; User Behavior and Engagement; Information Diffusion; Hashtag comtex https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-reelfs-jodel-hashtags.pdf ACM 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 San Francisco, California, USA International Workshop on Location and the Web May 13–17, 2019 978-1-4503-6675-5/19/05 10.1145/3308560.3316537 1 HelgeReelfs TimonMohaupt OliverHohlfeld NiklasHenckell