Lübke, S., Haim, M., & Haßler, J. (2/2024). Die Rolle und Wirkung Politischer Internet-Memes im Klimadiskurs. [The role and effect of political internet memes in the climate discourse.] Presented at the Annual Conference of the Political Communication Division of the DGPuK, Bern.

Jungblut, M. & Haim, M. (2023). Visual gender stereotyping in campaign communication: Evidence on female and male candidate imagery in 28 countries. Communication Research, 50(5), 535-664. https://dx.doi.org/10.1177/00936502211023333

Haim, M. & Jungblut, M. (2021). Politicians' self-depiction and their news portrayal: Evidence from 28 countries using visual computational analysis. Political Communication, 38(1-2), 55-74. https://dx.doi.org/10.1080/10584609.2020.1753869

Jungblut, M. & Haim, M. (2020). Challenges and potentials of visual computational analysis. Insights from a study on politicians’ self-depiction and their news portrayal. @realSocialMedia.

Haim, M. & Jungblut, M. (2020). Replication Data for: Politicians' self-depiction and their news portrayal: Evidence from 28 countries using visual computational analysis. OSF, https://dx.doi.org/10.17605/OSF.IO/WU2Z5.

Haim, M. & Jungblut, M. (5/2020). Politicians' self-depiction and news portrayal: Evidence from 28 countries. Presented at the 70th Annual Conference of the International Communication Association, Gold Coast.

Unkel, J. & Haim, M. (2019). Replication Data for: Googling politics: Parties, sources, and issue ownerships on Google in the 2017 German Federal Election campaign. OSF, https://dx.doi.org/10.17605/OSF.IO/5U9CN.

Haim, M. (10/2019). Googling politics: Parties, sources, and issue ownerships on Google in the 2017 German Federal Election campaign. Invited presentation at the NTNU Research Group on Elections, Values and Political Communication (EVPOC), Trondheim.

2019: OsloMet Digital Journalism Research Fellow to the Oslo Metropolitan University, Norway. https://film.oslomet.no/investigating-algorithmic-content

Unkel, J. & Haim, M. (2019). Googling politics: Parties, sources, and issue ownerships on Google in the 2017 German Federal Election campaign. Social Science Computer Review, Advance Online Publication. https://dx.doi.org/10.1177/0894439319881634