Schwabl, P., Haim, M., & Unkel, J. (2024). Aligning Agent-Based Testing (ABT) with the experimental research paradigm: A literature review and best practices. Journal of Computational Social Science, 7, 1625–1644. https://doi.org/10.1007/s42001-024-00283-6

Schwabl, P., Unkel, J., & Haim, M. (2023). Vielfalt bei Google? Vielzahl, Ausgewogenheit und Verschiedenheit wahlbezogener Suchergebnisse. In C. Holtz-Bacha (eds.), Die (Massen-) Medien im Wahlkampf. Die Bundestagswahl 2021 (S. 293-316). Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-38967-3_11

Haim, M. (2023). Nicht strafbar, aber sichtbar: Öffentlichkeit und subtiler Hass im Netz. [Not punishable, but visible: Online public spheres and their subtle hate.] In E. Hoven (eds.), Das Phänomen "Digitaler Hass": Ein interdisziplinärer Blick auf Ursachen, Erscheinungsformen und Auswirkungen (S. 89-102). Baden-Baden: Nomos.

Unkel, J. & Haim, M. (2021). Googling politics: Parties, sources, and issue ownerships on Google in the 2017 German Federal Election campaign. Social Science Computer Review, 39(5), 844-861. https://doi.org/10.1177/0894439319881634

Haim, M. (2020). Echokammer. [Echo chamber.] Journalistikon. http://journalistikon.de/echokammer/.

Haim, M. (2020). Agent-based testing: An automated approach toward artificial reactions to human behavior . Journalism Studies, 21(7), 895-911. https://doi.org/10.1080/1461670x.2019.1702892

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

2020, Zur Vielfalt von Nachrichtenschlagzeilen bei Google. Funded by the Media Authorities (Medienanstalten) of Hamburg and Schleswig-Holstein (MA HSH), Lower Saxony (NLM), and Baden-Württemberg (LFK).

Haim, M. & Nienierza, A. (2019). Computational observation: Challenges and opportunities of automated observation within algorithmically curated media environments using a browser plug-in. Computational Communication Research, 1(1), 79-102. https://doi.org/10.5117/ccr2019.1.004.haim

Haim, M. (5/2019). Agent-based testing: An automated approach toward artificial reactions to human behavior. Presented at the 69th Annual Conference of the International Communication Association, Washington D.C.