Prof. Dr. Felix Naumann

Project Description

User participation has become an integral part of news, journalism, and political communication. Social networks are not merely a representation of users' real-world relations but function as information distributors, protest platforms, and political campaign tools. News are no longer dominated by news corporations, instead, everybody can report news, discuss topics in public and share their opinions. Democracy 2.0 allows participation in political processes at a finger tip and information is available to everybody at any time. The downside of this development - fake news, hate speech, online stalking - poses a thread to the open, participatory discussion culture. In this project, we focus on the analysis of news in traditional media, e.g. by analyzing political bias in major news outlets and analyzing comments on news articles to identify, e.g., hate speech. We also investigate social networks and the information that can be extracted from them.


Project-Related Publications

  • 1.
    Lazaridou, K., Gruetze, T., Naumann, F.: Where in the World Is Carmen Sandiego? Detecting Person Locations via Social Media Discussions. Proceedings of the ACM Conference on Web Science. ACM (2018).
  • 2.
    Krestel, R., Risch, J.: How Do Search Engines Work? A Massive Open Online Course with 4000 Participants. Proceedings of the Conference Lernen, Wissen, Daten, Analysen. pp. 259–271 (2017).
  • 3.
    Gruetze, T., Krestel, R., Lazaridou, K., Naumann, F.: What was Hillary Clinton doing in Katy, Texas?. Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, 3-7 April, 2017. ACM (2017).
  • 4.
    Gruetze, T., Krestel, R., Naumann, F.: Topic Shifts in StackOverflow: Ask it like Socrates. Lecture Notes in Computer Science. pp. 213–221. Springer (2016).
  • 5.
    Jenders, M., Krestel, R., Naumann, F.: Which Answer is Best? Predicting Accepted Answers in MOOC Forums. Proceedings of the 25th International Conference Companion on World Wide Web. pp. 679–684. International World Wide Web Conferences Steering Committee (2016).
  • 6.
    Krestel, R., Werkmeister, T., Wiradarma, T.P., Kasneci, G.: Tweet-Recommender: Finding Relevant Tweets for News Articles. Proceedings of the 24th International World Wide Web Conference (WWW). ACM (2015).
  • 7.
    Gruetze, T., Yao, G., Krestel, R.: Learning Temporal Tagging Behaviour. Proceedings of the 24th International Conference on World Wide Web Companion (WWW). pp. 1333–1338. ACM (2015).
  • 8.
    Roick, M., Jenders, M., Krestel, R.: How to Stay Up-to-date on Twitter with General Keywords. Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. CEUR-WS.org (2015).