Keyword: online comments

  • Haim, M., Heinzel, I., Lankheit, S., Niagu, A.-M., & Springer, N. (5/2019). Identifying the good and the bad: Using machine learning to moderate user commentary on news. Presented at the 69th Annual Conference of the International Communication Association, Washington D.C.

  • Haim, M. (11/2018). Demokratie im Netz: Fake News, Hass-Postings, Wahlmanipulation? [Democracy online: Fake news, hatespeech, election manipulation?] Invited presentation at Kodex-E, VVG, Dornbirn.

  • Springer, N. & Haim, M. (11/2018). Machines in moderation: A theoretical framework for the application of machine learning in the management of user commentary. Presented at the 7th Annual ECREA Conference, Lugano.

  • Springer, N. & Haim, M. (3/2018). Identifying the good and the bad: How machine learning is applied and applicable in the moderation of user comments on news. Invited presentation at ThursdAI, MIT Media Lab, Cambridge, MA.

  • "Ihr Kommentar ist zu 42 % rassistisch." Der Einsatz von künstlicher Intelligenz für die Moderation von Online-Kommentaren ["Your comment's racist at 42%." The use of artificial intelligence for the management of online comments] (2017).