Et profilbilde

Postdoctoral Fellow
Mario Haim { "honorific-suffix": "Postdoctoral Fellow", "fn": "Mario Haim", "tel": "Telephone: +47 51833116", "email": "" }

Faculty Faculty of Social Sciences
Department Department of Media and Social Sciences

Mario Haim is a communication scholar with a background in informatics. After studying in Augsburg, Munich, and Helsinki, Haim gained his PhD at LMU Munich in 2018. 
He deals mostly with various sub disciplines from the wide range of Computational Social Science. That is, the influence of algorithms on societies, such as in journalism, public political discourse, or health communication. Prominent questions and phenomena include data-driven, robot, and automated journalism, "Filter Bubble" and "Echo Chamber" effects, news-diffusion patterns, as well as individual media use in algorithmically curated environments.

Courses taught

Research fields

computational social science, digital journalism, political communication, health communication, quantitative methods

Selected publications

Scherr, S., Haim, M., & Arendt, F. (2018). Equal access to online information? Google's suicide-prevention disparities may amplify a global digital pide. New Media & Society, Advance Online Publication.

Haim, M., Weimann, G., & Brosius, H.-B. (2018). Who sets the cyber agenda? Intermedia agenda-setting online: the case of Edward Snowden's NSA revelations. Journal of Computational Social Science, 1(2), 277-294.

Haim, M., Kümpel, A. S., & Brosius, H.-B. (2018). Popularity cues in online media: A review of conceptualizations, operationalizations, and general effects. Studies in Communication and Media, 7(2), 186-207.

Haim, M., Graefe, A., & Brosius, H.-B. (2018). Burst of the Filter Bubble? Effects of personalization on the persity of Google News. Digital Journalism, 6(3), 330-343.

Graefe, A., Haim, M., Haarmann, B., & Brosius, H.-B. (2018). Readers' perception of computer-written news: Credibility, expertise, and readability. Journalism, 19(5), 595-610.

Haim, M. & Graefe, A. (2017). Automated news: Better than expected? Digital Journalism, 5(6), 1044-1059.

Haim, M., Arendt, F., & Scherr, S. (2017). Abyss or shelter? On the relevance of web search engines' search results when people google for suicide. Health Communication, 32(2), 253-258.

Research in progress

Work experience

Scientific publications (from Cristin)

  • Haim, Mario (2019). Agent-based testing: An automated approach toward artificial reactions to human behavior. 2019-05-24 - 2019-05-28.
  • Haim, Mario (2019). Personalized and polarized? Reflections on researching algorithmic content curation.. Amsterdam School of Communication Research (ASCoR); 2019-03-11 - 2019-03-13.
  • Haim, Mario; Heinzel, Ida; Lankheit, Sophie; Niagu, Anna-Maria; Springer, Nina (2019). Identifying the good and the bad: Using machine learning to moderate user commentary on news. 2019-05-24 - 2019-05-28.
  • Haim, Mario; Zamith, Rodrigo (2019). Open-source Trading Zones and Boundary Objects: Examining GitHub as a space for advancing and collaborating on "news". 2019-05-24 - 2019-05-28.