Wilczek, B., Haim, M., & Thurman, N. (2024). Transforming the value chain of local journalism with artificial intelligence. AI magazine, 24(2), 200-211. https://doi.org/10.1002/aaai.12174

Haim, M. (2024). The German data journalist in 2021. Journalism Practice, 18(6), 1378-1397. https://doi.org/10.1080/17512786.2022.2098523

Portugal, R., Wilczek, B., Eder, M., Thurman, N., & Haim, M. (6/2023). Design thinking for journalism in the AI age: Towards an innovation process for responsible AI applications. Presented at the Joint Computation + Journalism and European Data & Computational Journalism Conference, Zurich.

Haim, M. & Puschmann, C. (2023). Opening up data, tools, and practices: Collaborating with the future. Digital Journalism, 11(2), 1-8. https://doi.org/10.1080/21670811.2023.2174894

Haim, M. & Maurus, K. (2023). Stereotypes and sexism? Effects of gender, topic, and user comments on journalists' credibility. Journalism, 24(7), 1442–1461. https://doi.org/10.1177/14648849211063994

Ferrer-Conill, R., Karlsson, M., Haim, M., Kammer, A., Elgesem, D., & Sjøvaag, H. (2023). Toward 'Cultures of Engagement'? An exploratory comparison of engagement patterns on Facebook news posts. New Media & Society, 25(1), 95-118. https://doi.org/10.1177/14614448211009246

M. Haim & C. Puschmann (2023). Analytical Advances through Open Science: Employing a Reference Dataset to Foster Best-Practice Data Validation, Analysis, and Reporting. Digital Journalism.

Haim, M. & Neuberger, C. (2022). The paradox of knowing more and less. Audience metrics and the erosion of epistemic standards on the internet. Studies in Communication and Media, 11(4), 566-589. https://doi.org/10.5771/2192-4007-2022-4-566

Haim, M. & Hoven, E. (2022). Hate speech's double damage: A semi-automated approach toward direct and indirect targets. Journal of Quantitative Description: Digital Media, 2, 1-37. https://doi.org/10.51685/jqd.2022.009

Haim, M. (2021). Book review: Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet. New Media & Society, 23, 3130-3132. https://doi.org/10.1177%2F14614448211031512.

Haim, M., Karlsson, M., Ferrer-Conill, R., Kammer, A., Elgesem, D., & Sjøvaag, H. (2021). You should read this study! It investigates Scandinavian social media logics ☝️. Digital Journalism, 9(4), 406-426. https://doi.org/10.1080/21670811.2021.1886861

Haim, M. (7/2021). Welcher Hass? Inhaltsanalyse politisch ausgerichteter Kommentare bei Online-Medien, Twitter und YouTube. [Which hate? Content analysis of political comments in online media, Twitter, and YouTube.] Invited presentation at "Das Phänomen 'Digitaler Hass' – ein interdisziplinärer Blick auf Ursachen, Erscheinungsformen und Auswirkungen", Leipzig.

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://doi.org/10.1080/10584609.2020.1753869

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

Springer, N. & Haim, M. (9/2020). Maschinelles Lernen in der Journalismusforschung: Rechtliche, ethische und praktische Herausforderungen eines interdisziplinären Lehr-/Forschungsprojekts. [Machine learning in journalism studies: Legal, ethical, and practical challenges in interdisciplinary teaching and research.] Presented at the Presented at the Annual Conference of the Journalism Division of the DGPuK, Hamburg.

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

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

Haim, M. & Zamith, R. (2019). Open-source Trading Zones and Boundary Objects: Examining GitHub as a space for collaborating on "news." Media and Communication, 7(4), 80-91. https://doi.org/10.17645/mac.v7i4.2249

Haim, M. (2019). Datenjournalismus. [Data journalism.] Journalistikon. http://journalistikon.de/datenjournalismus/.

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. & Zamith, R. (6/2019). Open-source Trading Zones and Boundary Objects: Examining GitHub as a space for advancing and collaborating on "news" Inaugural symposium on Media, Professions and Society, Volda.

Haim, M. & Zamith, R. (5/2019). Open-source Trading Zones and Boundary Objects: Examining GitHub as a space for advancing and collaborating on "news". Presented at the 69th Annual Conference of the International Communication Association, Washington D.C.

Haim, M. & Zamith, R. (2019). Replication Data for: Open-source Trading Zones and Boundary Objects: Examining GitHub as a space for collaborating on "news" Harvard Dataverse, https://doi.org/10.7910/DVN/LUOZJL.

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

2018: Ausgezeichnet für Exzellente Lehre am IfKW der LMU (Award for Excellence in Teaching), 2nd place, for the seminar Media Communication.

Haim, M. & Graefe, A. (2018). Automatisierter Journalismus. Anwendungsbereiche, Formen und Qualitat. [Automated journalism. Applications, types, quality.] In C. Nuernbergk & C. Neuberger (eds.), Journalismus im Internet. Profession - Partizipation - Technisierung (S. 139-160). Wiesbaden: Springer VS.

Haim, M. (9/2017). Up to date. Zu Aktualisierungsmustern und Änderungsintervallen im Online-Journalismus. [Up to date. Refresh cycles and update patterns in online journalism.] Presented at the 19th Annual Conference of the Methods Division of the DGPuK, Mainz.

2017: Ausgezeichnet für Exzellente Lehre am IfKW der LMU (Award for Excellence in Teaching), 5th place, for the seminar Media Communication.

Dörr, K., Köberer, N., & Haim, M. (2017). Normative Qualitätsansprüche an algorithmischen Journalismus. [Normative quality aspects for algorithmic journalism.] In I. Stapf, M. Prinzing, & A. Filipović (eds.), Gesellschaft ohne Diskurs? Digitaler Wandel und Journalismus aus medienethischer Perspektive (S. 121-133). Baden-Baden: Nomos. http://www.nomos-shop.de/Stapf-Prinzing-Filipovic-Gesellschaft-Diskurs/productview.aspx?product=28577.

Haim, M. (6/2015). Resetting the agenda? How Snowden's NSA revelations were covered in traditional and new online media. Presented at the Surveillance and Citizenship. State-Media-Citizen Relations After the Snowden Leaks, Cardiff.

Berger, M., Haim, M., Graefe, A., Brosius, H.-B., & Hess, T. (2015). Aktuelles Stichwort: Computational Journalism. [Current Catchphrase: Computational Journalism.] Medienwirtschaft, 12(1), 20-23. https://doi.org/10.15358/1613-0669-2015-1-22