Keyword: computational journalism

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

  • 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

  • 2013-2015, Computational Journalism. Zum Einfluss algorithmenbasierter Aggregation und Bündelung von Medieninhalten auf das Mediensystem. Funded by LMU Munich.

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

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

  • Haim, M., Heinzel, I., Lankheit, S., Niagu, A.-M., & Springer, N. (5/2019). Identifying the good and the bad: Using machine learning to moderate user commentary on news. 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. & 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., Graefe, A., & Brosius, H.-B. (2018). Ansatzpunkte für die Veränderung von Geschäftsmodellen durch Computational Journalism. [Starting points for changing business models through computational journalism.] Medienwirtschaft, 15(3), 36-42. http://www.medienwirtschaft-online.de/aktuellesstichwort/detail.php?rubric=Aktuelles+Stichwort&nr=3762.

  • Media Communication (2017).

  • 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., Pache, S., & Graefe, A. (6/2017). Visualisierte Unsicherheit. Wie (unsichere) Wahlprognosen kommuniziert und verstanden werden können. [Visualized uncertainty. How (uncertain) election forecasts can be communicated and understood.] Invited presentation at DDJ Monaco, Munich.

  • Haim, M. (2/2017). Daten, Maschinen, Automatisierung. Eine Chance für die Medien? [Data, Machines, Automation. A chance for the media?] Invited presentation at DJU, Nuremburg.

  • Media Communication (2016).

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

  • 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. http://www.medienwirtschaft-online.de/aktuellesstichwort/detail.php?rubric=Aktuelles+Stichwort&nr=2955.

  • Computational Journalism (2014).