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).

2015-2016, Data-Driven Campaign Coverage. Funded by the Volkswagenstiftung.

Haim, M. & Graefe, A. (2022). Automatisierung und Journalismus. [Automation and journalism.] In M. Löffelholz & L. Rothenberger (eds.), Handbuch Journalismustheorien. Wiesbaden: Springer VS. https://dx.doi.org/10.1007/978-3-658-32153-6_28-1

ScrapeBotR (2021). An R package to orchestrate ScrapeBot for agent-based testing. https://github.com/MarHai/ScrapeBotR.

R. Zamith & M. Haim (2020). Algorithms and Journalism: Exploring (Re)Configurations. Media and Communication.

6/2020, ZEIT online (online): Diesen Text hat kein Roboter geschrieben. https://www.zeit.de/digital/2020-06/microsoft-kuenstliche-intelligenz-msn-newsportal-journalismus-automatisierung.

7/2019, Deutschlandfunk (radio), Sport am Wochenende: Robotorjournalisten in der Kreisliga. https://haim.it/download/Interview_20190728_Deutschlandfunk_DfB-startet-Roboterjournalismus.mp3.

ScrapeBot (2019). A Selenium-based tool for agent-based testing. https://github.com/MarHai/ScrapeBot.

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.

Haim, M. (6/2018). Akkurat, objektiv, unlesbar? Zur Wahrnehmung von automatisiertem Journalismus. [Accurate, objective, unreadable? Perceptions of automated journalism.] Invited presentation at DNIe Roboterjournalismus, Munich.

Haim, M., Graefe, A., & Brosius, H.-B. (2018). Burst of the Filter Bubble? Effects of personalization on the diversity of Google News. Digital Journalism, 6(3), 330-343. https://dx.doi.org/10.1080/21670811.2017.1338145

"Ihr Kommentar ist zu 42 % rassistisch." Der Einsatz von künstlicher Intelligenz für die Moderation von Online-Kommentaren ["Your comment's racist at 42%." The use of artificial intelligence for the management of online comments] (2017).

Haim, M. (10/2017). Online suicide prevention. Global findings for a global health imperative. Invited presentation at the 3rd LMU-ChAN Scientific Forum, Munich.

3/2017, WDR5 (radio), Töne, Texte, Bilder: Interview partner on artificial intelligence in journalism. https://haim.it/download/Interview_20170325_WDR5-ToeneTexteBilder_KuenstlicheIntelligenz.mp3.

Haim, M., Goodwin, B., & Graefe, A. (7/2015). A classification of technological advances in journalism. Presented at the Annual Conference of the IAMCR, Montreal.

ScrapeBot (2015). CasperJS-based tool for automatized website interaction and scraping. http://dx.doi.org/10.1080/10410236.2015.1113484, https://github.com/MarHai/ScrapeBot/tree/v1.1.

Computational Journalism (2014).

Keyling, T. & Haim, M. (10/2014). Zur Stichprobenqualität von Online-Nachrichtenmedien. [On the quality of sampling in online media.] Presented at the 16th Annual Conference of the Methods Division of the DGPuK, Munich.

9/2014, Bayern 2 (radio), Theo.Logik: Interview partner on "What are algorithms and where do I meet them?" https://haim.it/download/Interview_20140915_Bayern2-TheoLogik_Ich-mache-mir-die-Welt-wie-sie-mir-gefaellt.mp3.