Haim, M. (2023). Computational Communication Science: Eine Einführung. [Computational Communication Science: Introduction.] Wiesbaden: Springer VS. https://link.springer.com/book/10.1007/978-3-658-40171-9.

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

Haim, M. (2019). Capturing the dynamics of online news. In P. Müller, S. Geiß, C. Schemer, T. K. Naab, & C. Peter (eds.), Dynamische Prozesse der öffentlichen Kommunikation. Methodische Herausforderungen (S. 38-56). Köln: Halem.

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. (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. (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.

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.

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.