2015-2016, Computational Campaign Coverage. Funded by Columbia University's Tow Center for Digital Journalism.

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

Haim, M. & Maurus, K. (2021). Stereotypes and sexism? Effects of gender, topic, and user comments on journalists' credibility. Journalism, Advance Online Publication. https://dx.doi.org/10.1177/14648849211063994

Haim, M. (4/2021). KI und Online-Nachrichten: Produktion, Vertrieb und Nutzung. [AI and online news: Production, distribution, and use.] Invited presentation at Förderwerk für Rundfunk und neue Medien SAEK, Leipzig.

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.

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

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

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. & Graefe, A. (2018). Automatisch interessant? Der Einfluss von Involvement auf die Wahrnehmung computergenerierter Texte. [Automatically interesting? Involvement's influence on the perception of computer-generated texts.] In P. Rössler & C. Rossmann (eds.), Kumulierte Evidenzen. Replikationsstudien in der empirischen Kommunikationsforschung (S. 189-206). Wiesbaden: Springer VS.

Graefe, A., Haim, M., Haarmann, B., & Brosius, H.-B. (2018). Readers' perception of computer-written news: Credibility, expertise, and readability. Journalism, 19(5), 595-610. https://dx.doi.org/10.1177/1464884916641269

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.

Media Communication (2017).

Haim, M. & Graefe, A. (2017). Automated news: Better than expected? Digital Journalism, 5(6), 1044-1059. https://dx.doi.org/10.1080/21670811.2017.1345643

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.

Haim, M. & Graefe, A. (2017). Replication Data for: Automatisch interessant? Harvard Dataverse, https://dx.doi.org/10.7910/DVN/NLMJIP.

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.

Graefe, A., Haim, M., & Diakopoulos, N. (5/2017). Should news outlets let their readers know that they are reading automated content? Effects of algorithmic transparency on perceptions of automated news. Presented at the 67th Annual Conference of the International Communication Association, San Diego.

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. & Graefe, A. (2017). Replication Data for: Automated news: Better than expected? Harvard Dataverse, https://dx.doi.org/10.7910/DVN/OU552V.

Haim, M. (10/2016). Automatisierter Journalismus am Beispiel des US-Wahlkampfs. [Automated journalism. A case study from the US presidential election.] Invited presentation at BJV, Munich.

Haim, M. (9/2016). Computational Campaign Coverage with the PollyVote (a.k.a. the automated prediction parrot). Invited presentation at the Tow Center for Digital Journalism, Columbia University, New York.

2016: Visiting scholar to the Tow Center for Digital Journalism at Columbia Journalism School, New York, NY. The visit dealt with both automated journalism throughout the course of the Computational Campaign Coverage project and the influence of audience metrics on online newsrooms.

Haim, M. (9/2016). Computational Campaign Coverage with the PollyVote (a.k.a. the automated prediction parrot). Invited presentation at Botland, CUNY Graduate School of Journalism, New York.

Media Communication (2016).

Haim, M. (8/2016). Automated journalism. Experiences, boundaries, potentials. Invited presentation at IXDS labs' pre-work talks, Munich. Video at YouTube

Graefe, A. & Haim, M. (7/2016). Roboterjournalismus und Wahlprognosen . [Robot journalism and election forecasting.] Invited presentation at Hacks/Hackers, Munich.

2016-2019, PollyVote: Computational Campaign Coverage. Funded by the Google Digital News Initiative (round 3). https://digitalnewsinitiative.com/dni-projects/pollyvote-computational-campaign-coverage/.

Graefe, A., Haim, M., Haarmann, B., & Brosius, H.-B. (6/2016). Readers' perception of computer-written news: Credibility, expertise, and readability. Presented at the 66th Annual Conference of the International Communication Association, Fukuoka.

Haim, M. & Graefe, A. (6/2016). Automated news: Better than expected? Presented at the 66th Annual Conference of the International Communication Association, Fukuoka.

Haim, M. & Dörr, K. (4/2016). Automatisierte Qualität? Zur Institutionalisierung und normativen Qualität von algorithmischem Journalismus. [Automated quality? On the institutionalization and normative quality of algorithmic journalism.] Presented at the 61st Annual Conference of the DGPuK, Leipzig.

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://dx.doi.org/10.15358/1613-0669-2015-1-22

Graefe, A. & Haim, M. (10/2015). Achtung, automatisierter Artikel! [Beware of automated news!] Organized panel at the Munich Media Days, Munich. Video at YouTube

Graefe, A., Haim, M., Haarmann, B., & Brosius, H.-B. (10/2015). Readers' perception of computer-written news: Credibility, expertise, and readability. Presented at the 11th Dubrovnik Media Days, Dubrovnik.

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

5/2015, Die ZEIT (print): Interview partner on robot journalism. https://haim.it/download/Interview_20150528_Zeit_WillkommenKollege.png.

5/2015, NDR (television), ZAPP: Interview partner on robot journalism. https://www.youtube.com/watch?v=T4tdYSN5usY.

5/2015, WDR5 (radio), Töne, Texte, Bilder: Interview partner on robot journalism. https://haim.it/download/Interview_20150502_WDR5-ToeneTexteBilder_Roboterjournalist.mp3.

Haim, M. (4/2015). Der Lokal-Roboter. Automatisierter Journalismus im Lokalteil? [Automated journalism for local reporting?] Invited presentation at the 5th Local Web Conference, Nuremburg. Video at YouTube.

4/2015, B5aktuell (radio), Medienmagazin: Interview partner on robot journalism. https://haim.it/download/Interview_20150419_B5aktuell-Medienmagazin_Roboterjournalismus-Medien-im-intelligenten-Netz.mp3.

1/2015, Wirtschaftsjournalist (print): Interview partner on robot journalism. https://haim.it/download/Interview_201501_Wirtschaftsjournalist_KollegeRoboter.pdf.

Computational Journalism (2014).