Et profilbilde

Postdoctoral Fellow
Mario Haim { "honorific-suffix": "Postdoctoral Fellow", "fn": "Mario Haim", "tel": "Telephone: +47 51833116", "email": "mario.haim@uis.no" }

Faculty Faculty of Social Sciences
Department Department of Media and Social Sciences
Web https://www.haim.it

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. https://dx.doi.org/10.1177/1461444818801010

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. https://dx.doi.org/10.1007/s42001-018-0016-y

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. https://dx.doi.org/10.5771/2192-4007-2018-2-58

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. https://dx.doi.org/10.1080/21670811.2017.1338145

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. https://dx.doi.org/10.1177/1464884916641269

Haim, M. & Graefe, A. (2017). Automated news: Better than expected? Digital Journalism, 5(6), 1044-1059. https://dx.doi.org/10.1080/21670811.2017.1345643

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. https://dx.doi.org/10.1080/10410236.2015.1113484

Research in progress

Work experience