Haim, M. (6/2020). Distribution im Online-Journalismus. [Distribution in Online Journalism.] Invited presentation at Berlin-Brandenburgische Akademie der Wissenschaften BBAW, Berlin.

Haim, M., Karlsson, M., Ferrer-Conill, R., Kammer, A., Elgesem, D., & Sjøvaag, H. (5/2020). You should read this study! It compares media logics on Facebook. Presented at the 70th Annual Conference of the International Communication Association, Gold Coast.

Haim, M. (2019). Die Orientierung von Online-Journalismus an seinen Publika. Anforderung, Antizipation, Anspruch. [The orientation of online journalism toward its audiences. Demand, anticipation, claim.] Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-25546-6.

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.

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.