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.

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.

Waldherr, A., Weber, M., Wu, S., Haim, M., Velden, M. A. v. d., & Chen, K. (2024). Between innovation and standardization: Best practices and inclusive guidelines in Computational Communication Science. Journalism & Mass Communication Quarterly, Advance Online Publication. https://doi.org/10.1177/10776990241301676

Hase, V., Ausloos, J., Boeschoten, L., Pfiffner, N., Janssen, H., Araujo, T., Carrière, T., Vreese, C. d., Haßler, J., Loecherbach, F., Kmetty, Z., Möller, J., Ohme, J., Schmidbauer, E., Struminskaya, B., Trilling, D., Welbers, K., & Haim, M. (2024). Fulfilling data access obligations: How could (and should) platforms facilitate data donation studies? Internet Policy Review, 13(3). https://doi.org/10.14763/2024.3.1793

Hase, V. & Haim, M. (2024). Can we get rid of bias? Mitigating systematic error in data donation studies through survey design strategies. Computational Communication Research, 6(2). https://doi.org/10.5117/CCR2024.2.2.hase

Schwabl, P., Haim, M., & Unkel, J. (2024). Aligning Agent-Based Testing (ABT) with the experimental research paradigm: A literature review and best practices. Journal of Computational Social Science, 7, 1625–1644. https://doi.org/10.1007/s42001-024-00283-6

Knöpfle, P., Haim, M., & Breuer, J. (2024). Key topic or bare necessity? How research ethics are addressed and discussed in Computational Communication Science. Publizistik, 69, 333–356. https://doi.org/10.1007/s11616-024-00846-7

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

Haim, M., Hase, V., Schindler, J., Bachl, M., & Domahidi, E. (2023). Editorial to the Special Issue: (Re)Establishing quality criteria for content analysis: A critical perspective on the field's core method. Studies in Communication and Media, 12(4), 277-288. https://doi.org/10.5771/2192-4007-2023-4-277

Haim, M. & Puschmann, C. (2023). Device-dependent biases in mobile online news. Computational Communication Research, 5(1), 1-21. https://doi.org/10.5117/CCR2023.1.14.haim

Haim, M., Leiner, D., & Hase, V. (2023). Integrating data donations into online surveys. Medien & Kommunikationswissenschaft, 71(12), 130-137. https://doi.org/10.5771/1615-634X-2023-1-2-130

Haim, M. & Jungblut, M. (2023). How open is communication science? Analyzing open-science principles in the field. Annals of the International Communication Association, 47(3), 338-357. https://doi.org/10.1080/23808985.2023.2201601

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

Scherr, S., Arendt, F., & Haim, M. (2023). Algorithms without frontiers? How language-based algorithmic information disparities for suicide crisis information sustain digital divides over time in 17 countries. Information, Communication & Society, 26(14), 2690-2706. https://doi.org/10.1080/1369118X.2022.2097017

Breuer, J., Kmetty, Z., Haim, M., & Stier, S. (2023). User-centric approaches for collecting Facebook data in the 'post-API age': Experiences from two studies and recommendations for future research. Information, Communication & Society, 26(14), 2649-2668. https://doi.org/10.1080/1369118X.2022.2097015

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

Jungblut, M. & Haim, M. (2023). Visual gender stereotyping in campaign communication: Evidence on female and male candidate imagery in 28 countries. Communication Research, 50(5), 535-664. https://doi.org/10.1177/00936502211023333

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

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

Wilczek, B. & Haim, M. (2022). Wie kann Künstliche Intelligenz die Effizienz von Medienorganisationen steigern? [How can Artificial Intelligence increase media organizations' efficiency?] Medienwirtschaft, 19(4), 44-50. https://doi.org/10.15358/1613-0669-2022-4-44 https://www.beck-elibrary.de/10.15358/1613-0669-2022-4-44/wie-kann-kuenstliche-intelligenz-die-effizienz-von-medienorganisationen-steigern-jahrgang-19-2022-heft-4?page=1.

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., Breuer, J., & Stier, S. (2021). Do news actually "find me"? Using digital behavioral data to study the news-finds-me phenomenon. Social Media + Society, 7(3). https://doi.org/10.1177/20563051211033820

Haim, M., Scherr, S., & Arendt, F. (2021). How search engines may help reduce drug-related suicides. Drug and Alcohol Dependence, 226(108874). https://doi.org/10.1016/j.drugalcdep.2021.108874

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. (2021). Gütekriterien und Handlungsempfehlungen für die Entwicklung von Forschungssoftware in der Kommunikations- und Medienwissenschaft. [Quality Criteria and Recommendations for Developing Research Software in Communication Science.] Medien & Kommunikationswissenschaft, 69(1), 65-79. https://doi.org/10.5771/1615-634X-2021-1-65 *

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

Arendt, F., Haim, M., & Scherr, S. (2020). Investigating Google's suicide-prevention efforts in celebrity suicides using agent-based testing: A cross-national study in four European countries. Social Science & Medicine, 262(112692). https://doi.org/10.1016/j.socscimed.2019.112692

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. & Nienierza, A. (2019). Computational observation: Challenges and opportunities of automated observation within algorithmically curated media environments using a browser plug-in. Computational Communication Research, 1(1), 79-102. https://doi.org/10.5117/ccr2019.1.004.haim

Brosius, H.-B., Haim, M., & Weimann, G. (2019). Diffusion as a future perspective of agenda setting. The Agenda Setting Journal, 3(2), 175-190. https://doi.org/10.1075/asj.18022.hai

Arendt, F., Haim, M., & Beck, J. (2019). Fake News, Warnhinweise und perzipierter Wahrheitsgehalt: Zur unterschiedlichen Anfälligkeit für Falschmeldungen in Abhängigkeit von der politischen Orientierung. [Fake news, warning labels and perceived truth: Differential susceptibility for fake news depending on political orientation.] Publizistik, 64(2), 181-204. https://doi.org/10.1007/s11616-019-00484-4

Scherr, S., Haim, M., & Arendt, F. (2019). Equal access to online information? Google's suicide-prevention disparities may amplify a global digital divide. New Media & Society, 21(3), 562–582. https://doi.org/10.1177/1461444818801010

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. https://doi.org/10.15358/1613-0669-2018-3-36

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

Haim, M., Kümpel, A. S., & Brosius, H.-B. (2018). Popularity cues in online media: A review of conceptualizations, operationalizations, and general effects. Studies in Communication and Media, 7(2), 186-207. https://doi.org/10.5771/2192-4007-2018-2-58

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://doi.org/10.1080/21670811.2017.1338145

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://doi.org/10.1177/1464884916641269

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

Haim, M., Arendt, F., & Scherr, S. (2017). Abyss or shelter? On the relevance of web search engines' search results when people google for suicide. Health Communication, 32(2), 253-258. https://doi.org/10.1080/10410236.2015.1113484

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

Haim, M. (2015). Der Preis der Parteien. Zum Einfluss der Motivation der Teilnehmer von Wahl-Prognosemärkten auf ihr Verhalten. [The parties’ prices. On the influence of political stock market participants’ motivation on their behavior.] Zeitschrift für Politikwissenschaft, 25(1), 27-52. https://doi.org/10.5771/1430-6387-2015-1-27

Obermaier, M., Haim, M., & Reinemann, C. (2014). Emotionen bewegen? Ein Experiment zur Wirkung von Medienbeiträgen mit Emotionalisierungspotenzial auf Emotionen, politische Partizipationsabsichten und weiterführende Informationssuche. [Moving emotions? An experiment on the impact of emotional media contributions on emotions, political participation, and further information-seeking.] Medien & Kommunikationswissenschaft, 62(2), 216-235. https://doi.org/10.5771/1615-634x-2014-2-216 *

Haim, M. & Hase, V. (in press). Computational Methods und Tools für die Erhebung und Auswertung von Social-Media-Daten. [Computational methods and tools for the collection and analysis of socia-media data.] In S. Stollfuß, L. Niebling, & F. Raczkowski (eds.), Handbuch Digitale Medien und Methoden. Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-36629-2_41-1

Schwabl, P., Unkel, J., & Haim, M. (2023). Vielfalt bei Google? Vielzahl, Ausgewogenheit und Verschiedenheit wahlbezogener Suchergebnisse. In C. Holtz-Bacha (eds.), Die (Massen-) Medien im Wahlkampf. Die Bundestagswahl 2021 (S. 293-316). Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-38967-3_11

Haim, M. (2023). Nicht strafbar, aber sichtbar: Öffentlichkeit und subtiler Hass im Netz. [Not punishable, but visible: Online public spheres and their subtle hate.] In E. Hoven (eds.), Das Phänomen "Digitaler Hass": Ein interdisziplinärer Blick auf Ursachen, Erscheinungsformen und Auswirkungen (S. 89-102). Baden-Baden: Nomos.

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

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.

Brosius, H.-B. & Haim, M. (2019). Agenda-Setting in der Onlinewelt: Empirische Befunde in einem dynamischen Forschungsfeld. [Agenda setting in the online world: Empirical findings in a dynamic field of research.] In T. Eberwein & C. Wenzel (eds.), Changing Media - Changing Democracy? (S. 33-52). Wien: Austrian Academy of Sciences.

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.

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., Arendt, F., & Scherr, S. (2016). Zum Einfluss von Suchmaschinen-Algorithmen auf das Erscheinen von Hinweisen zur Telefonseelsorge bei erhöhter Suizidalität. [The influence of search-engine algorithms on the display of helplines for increased suicidality.] In A.-L. Camerini, R. Ludolph, & F. Rothenfluh (eds.), Gesundheitskommunikation im Spannungsfeld zwischen Theorie und Praxis (S. 224-234). Baden-Baden: Nomos. https://doi.org/10.5771/9783845274256-225

J. Breuer & M. Haim (2024). Reproducibility and Replicability in Communication Research. Media and Communication.

M. Haim, V. Hase, J. Schindler, M. Bachl, & E. Domahidi (2023). Validity and the Four "R's": (Re-)Establishing Standards for Content Analysis. Studies in Communication and Media.

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.

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

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.

Hepp, A., Hohmann, F., Belli, A., Boczek, K., Haim, M., Heft, A., Jünger, J., Jürgens, P., Koenen, E., Nordheim, G. v., Rinsdorf, L., Rothenberger, L., Schatto-Eckrodt, T., & Unkel, J. (2021). Forschungssoftware in der Kommunikations- und Medienwissenschaft: Stand, Herausforderungen und Perspektiven. [Research software in communication and media science: Status quo, challenges, and perspectives.] DGPuK-Positionspapiere. https://www.dgpuk.de/sites/default/files/DGPuK%20Positionspapier%20-%20Forschungssoftware%20in%20der%20Kommunikations-%20und%20Medienwissenschaft_0.pdf.

Jungblut, M. & Haim, M. (2020). Challenges and potentials of visual computational analysis. Insights from a study on politicians’ self-depiction and their news portrayal. @realSocialMedia.

Haim, M. (2020). Echokammer. [Echo chamber.] Journalistikon. http://journalistikon.de/echokammer/.

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

Haim, M. (2018). Mehr methodischer Mut, bitte! [More methodical courage, please!] Aviso, 66, 8. https://www.dgpuk.de/de/aviso.html.

Breuer, J., Haim, M., & Knöpfle, P. (9/2024). Fostering proactive reproducibility and replicability through frontloading of effort and automation. Presented at the Combined Annual 53rd DGPs Congress/15th ÖGP Conference, Vienna.

Breuer, J., Knöpfle, P., & Haim, M. (9/2024). Reproduzierbarkeit und Replizierbarkeit bei Forschung mit Social-Media-Daten. [Reproducibility and replicability for researching social media data.] Presented at the Combined Annual 53rd DGPs Congress/15th ÖGP Conference, Vienna.

Lübke, S., Haim, M., & Haßler, J. (2/2024). Die Rolle und Wirkung Politischer Internet-Memes im Klimadiskurs. [The role and effect of political internet memes in the climate discourse.] Presented at the Annual Conference of the Political Communication Division of the DGPuK, Bern.

Wilczek, B., Eder, M., Portugal, R., Thurman, N., & Haim, M. (9/2023). Journalism students' views on AI innovation and responsibility: Findings from a Design Thinking project in Germany. Presented at the Future of Journalism Conference, Cardiff.

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.

Schwabl, P., Haim, M., & Unkel, J. (5/2022). Searching for biased information? Informational strategies and algorithmic curation. Presented at the 72nd Annual Conference of the International Communication Association, Paris.

Wilczek, B., Thurman, N., Haim, M., Helberger, N., Fokkens, A., Atteveldt, W. v., & Sjøvaag, H. (5/2022). AI adoption patterns in local journalism: Current use and future potentials in the German media market. Presented at the 72nd Annual Conference of the International Communication Association, Paris.

Ferrer-Conill, R., Karlsson, M., Haim, M., Kammer, A., & Sjøvaag, H. (5/2022). Losing the hyperlink? Studying the role of websites connecting national online networks. Presented at the 72nd Annual Conference of the International Communication Association, Paris.

Scherr, S., Arendt, F., & Haim, M. (5/2022). Algorithms without frontiers? How language-based algorithmic information disparities sustain digital divides over time in 17 countries. Presented at the 72nd Annual Conference of the International Communication Association, Paris.

Breuer, J., Kmetty, Z., Haim, M., & Stier, S. (5/2022). User-focused approaches for collecting Facebook data in the 'post-API age': Experiences from two studies and recommendations for future research. Presented at the 72nd Annual Conference of the International Communication Association, Paris.

Ivan, L., Gvirsman, S. D., Haim, M., & Potthast, M. (5/2021). Don't take the bait: Users' engagement with clickbait and its effect on editorial considerations. Presented at the 71st Annual Conference of the International Communication Association, Denver.

Haim, M., Scherr, S., & Arendt, F. (5/2021). Search engines can help prevent suicidal overdoses in the opioid crisis. Presented at the 71st Annual Conference of the International Communication Association, Denver.

Haim, M. & Jungblut, M. (5/2021). How open is communication science? Analyzing open-science principles in communication science and psychology. Presented at the 71st Annual Conference of the International Communication Association, Denver.

Breuer, J. & Haim, M. (4/2021). Reproducibility and replicability in computational social science: Challenges and potential solutions. Presented at the Open Science and Replicability in the Behavioural Social Sciences, Chemnitz.

Haim, M. & Unkel, J. (4/2021). Algorithmic auditing through agent-based experiments. Presented at the 65th Annual Conference of the DGPuK, Zurich.

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.

Ferrer-Conill, R., Karlsson, M., Haim, M., Kammer, A., Elgesem, D., & Sjøvaag, H. (5/2020). Finding cultures of engagement? Comparing Scandinavian patterns of engagement with news posts on Facebook. Presented at the 70th Annual Conference of the International Communication Association, Gold Coast.

Haim, M., Karlsson, M., Ferrer-Conill, R., Kammer, A., Elgesem, D., & Sjøvaag, H. (5/2020). You should read this study! It compares media logics on Facebook. Presented at the 70th Annual Conference of the International Communication Association, Gold Coast.

Haim, M., Stier, S., & Breuer, J. (5/2020). Open science vs. privacy? A case study with linked web tracking, social media, and survey data. Presented at the 70th Annual Conference of the International Communication Association, Gold Coast.

Haim, M. & Jungblut, M. (5/2020). Politicians' self-depiction and news portrayal: Evidence from 28 countries. Presented at the 70th Annual Conference of the International Communication Association, Gold Coast.

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. & 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. (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.

Springer, N. & Haim, M. (11/2018). Machines in moderation: A theoretical framework for the application of machine learning in the management of user commentary. Presented at the 7th Annual ECREA Conference, Lugano.

Haim, M. & Nienierza, A. (9/2018). Computational observation: Möglichkeiten und Herausforderungen automatisierter Beobachtungen in algorithmischen Informationsumgebungen mithilfe eines eigens entwickelten Browser-Plugins. [Computational observation: Challenges and Opportunities of automated observations within algorithmic information environments using a dedicated browser plug-in.] Presented at the 20th Annual Conference of the Methods Division of the DGPuK, Ilmenau. *

Scherr, S., Haim, M., & Arendt, F. (8/2018). Equal access to online information? Google’s suicide-prevention disparities may amplify a global digital divide. Presented at the 101st AEJMC Conference, Washington D.C.

Brosius, H.-B., Haim, M., & Weimann, G. (7/2018). Diffusion as a future perspective of agenda setting. Presented at the 50 Years in Agenda Setting Research, Boulder, CO.

Unkel, J. & Haim, M. (5/2018). Googling politics: Usage patterns, information sources, and issue ownerships in the 2017 German Federal Election. Presented at the 68th Annual Conference of the International Communication Association, Prag.

Arendt, F., Haim, M., & Beck, J. (5/2018). Fake News, Warnhinweise und perzipierter Wahrheitsgehalt: Zur differenziellen Suszeptibilität in Abhängigkeit der politischen Orientierung. [Fake news, warning labels and perceived truth: Differential susceptibility depending on political orientation.] Presented at the 63rd Annual Conference of the DGPuK, Mannheim.

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.

Haim, M., Kümpel, A. S., & Brosius, H.-B. (5/2017). Popularity cues in online media. A review of conceptualizations, operationalizations, and effects. Presented at the 67th Annual Conference of the International Communication Association, San Diego.

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.

Kümpel, A. S., Haim, M., & Brosius, H.-B. (4/2017). Popularitätshinweise in Online-Medien: Ein systematischer Überblick über Konzeptualisierungen, Operationalisierungen und Effekte. [Popularity indicators in online media. A review of research on the effects of metric user information.] Presented at the 62nd Annual Conference of the DGPuK, Dusseldorf.

Kümpel, A. S. & Haim, M. (10/2016). Popularity indicators in online media. A review of research on the effects of metric user information. Presented at the 17th Conference of the Assocication of Internet Researchers, Berlin.

Haim, M., Graefe, A., & Brosius, H.-B. (6/2016). The burst of the bubble? Effects of automated personalization on news diversity. Presented at the 66th Annual Conference of the International Communication Association, Fukuoka.

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., Arendt, F., & Scherr, S. (6/2016). Abyss or shelter? On the relevance of web search engines' search results when people google for suicide. 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., Weimann, G., & Brosius, H.-B. (6/2016). Who sets the cyber agenda? Intermedia agenda-setting online: The case of NSA. 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.

Haim, M., Arendt, F., & Scherr, S. (11/2015). Abyss or shelter? On the relevance of web search engines' search results when people google for suicide. Presented at the 3rd Conference of the Health Communication Division of the DGPuK, Lugano.

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.

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.

Oechslein, O., Haim, M., Graefe, A., Brosius, H.-B., Hess, T., & Koslow, A. (1/2015). The digitization of news aggregation: Experimental evidence on intention to use and willingness to pay for personalized news aggregators. Presented at the 48th Hawaii International Conference on System Sciences, Hawaii. Manuscript in Proceedings of the 48th Hawaii International Conference on System Sciences, IEEE Computer Society, 4181-4190.

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.

Haim, M. (11/2021). Computational Methods für Journalismus und Journalismusforschung. [Computational methods for journalism and journalism studies.] Invited presentation at Zukunftswerkstatt, Ulrich Saxer-Stiftung, Zurich.

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. (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.

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

Haim, M. (10/2019). Googling politics: Parties, sources, and issue ownerships on Google in the 2017 German Federal Election campaign. Invited presentation at the NTNU Research Group on Elections, Values and Political Communication (EVPOC), Trondheim.

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. (3/2019). Personalized and polarized? Reflections on researching algorithmic content curation. Invited presentation at the Amsterdam School of Communication Research (ASCoR), Amsterdam.

Haim, M. (11/2018). Demokratie im Netz: Fake News, Hass-Postings, Wahlmanipulation? [Democracy online: Fake news, hatespeech, election manipulation?] Invited presentation at Kodex-E, VVG, Dornbirn.

Haim, M. (9/2018). Challenges and experiences from the automated observation of social media use through a browser plug-in. Computational Social Science in the Age of Networked Media, Stavanger.

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.

Springer, N. & Haim, M. (3/2018). Identifying the good and the bad: How machine learning is applied and applicable in the moderation of user comments on news. Invited presentation at ThursdAI, MIT Media Lab, Cambridge, MA.

Haim, M. (3/2018). Moderne Mediennutzung, moderne Suizidprävention? Stand der Forschung und aktuelle Herausforderungen. [Modern media use, modern suicide prevention?] DGS Frühjahrstagung: Suizidprophylaxe 4.0: Internet und Soziale Medien. Möglichkeiten und Risiken, Günzburg.

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

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.

Haim, M. (12/2016). Wahlprognosen mit PollyVote.com. [Election forecasting with PollyVote.com.] Invited presentation at Hacks/Hackers, Munich.

Haim, M. (12/2016). In media res. The (mass) media's role within past and present surveillance states. Invited presentation at the LMU/HAW seminar "Surveillance-Culture-Society", Munich.

Haim, M. & Goodwin, B. (11/2016). Education for data journalism. Invited presentation at the 2nd LMU-ChAN Scientific Forum, Hangzhou.

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.

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.

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.

Haim, M. & Kümpel, A. S. (1/2016). Sie sind der Meinung, das ist spitze. Status Quo der Forschung zu Popularitätshinweisen. [I like that. Status quo on popularity-indicator research.] Invited presentation at the 8th IfKW Mediengespräch, Munich.

Haim, M., Arendt, F., & Scherr, S. (10/2015). Abyss or shelter? On the relevance of web search engines' search results when people google for suicide. Invited presentation at the 7th IfKW Mediengespräch, Munich.

Haim, M. (10/2015). The burst of the bubble? Effects of automated personalization on news diversity. Invited presentation at the 7th IfKW Mediengespräch, Munich.

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

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.

Haim, M. (11/2014). The modern-day digital age: Surveillance & censorship and social change. Invited presentation at the Model United Nations of Munich, Munich.

Haim, M. & Brosius, H.-B. (5/2014). Geteilt und getrieben? Intermedia Agenda Setting zwischen Online-Ablegern klassischer Massenmedien, Blogs und sozialen Netzwerken. [Shared and pushed? Intermedia agenda-setting between online instances of legacy media, blogs, and social network sites.] Presented at the 6th IfKW Mediengespräch "The Future of Agenda-Setting", Munich.

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).

2019-2022, Digital news agendas in Scandinavia. Funded by the Ander Foundation, Anne-Marie och Gustav Anders stiftelse för mediaforskning. https://www.uis.no/research-and-phd-studies/research-areas/society-culture-and-religion/digital-news-agendas-in-scandinavia/.

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

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.

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

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

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

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.

Puschmann, C. & Haim, M. (2020). useNews. OSF, https://doi.org/10.17605/osf.io/uzca3.

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.

Unkel, J. & Haim, M. (2019). Replication Data for: Googling politics: Parties, sources, and issue ownerships on Google in the 2017 German Federal Election campaign. OSF, https://doi.org/10.17605/OSF.IO/5U9CN.

Haim, M., Arendt, F., & Scherr, S. (2019). Replication Data for: Investigating Google's suicide prevention efforts in celebrity suicides using agent-based testing. Harvard Dataverse, https://doi.org/10.7910/DVN/VX6QVB.

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.

Scherr, S., Haim, M., & Arendt, F. (2018). Replication Data for: Equal access to online information? Google’s suicide-prevention disparities may amplify a global digital divide. Harvard Dataverse, https://doi.org/10.7910/DVN/PCRG1D.

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

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

2022: * Deutscher Zeitschriftenpreis der DGPuK (Journal Paper Award of the German Association for Communication), 1st place, for the article Gütekriterien und Handlungsempfehlungen für die Entwicklung von Forschungssoftware in der Kommunikations- und Medienwissenschaft. https://www.dgpuk.de/node/63

2020: wegweisR: Ein leichter Umstieg auf R in sechs kurzen Episoden. Online-Workshop zur Kompensation fehlender Zugänge zu kommerzieller Statistiksoftware. https://wegweisR.haim.it

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

2018: * Auszeichnung für die beste Einreichung für die Tagung der Fachgruppe Methoden der Publizistik- und Kommunikationswissenschaft der DGPuK für den Beitrag Computational observation: Möglichkeiten und Herausforderungen automatisierter Beobachtungen in algorithmischen Informationsumgebungen mithilfe eines eigens entwickelten Browser-Plugins.

2018: Co-Organizer of the preconference on "Audience Analytics" at the 68th Annual Conference of the International Communication Association, Prag (together with Edson Tandoc, Patrick Ferucci, Folker Hanusch, and Rodrigo Zamith).

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

2017: Ausgezeichnet für Exzellente Lehre am IfKW der LMU (Award for Excellence in Teaching), 2nd place, for the seminar Datenanalyse.

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

2016: Co-Organizer of bi-annual "Young Member’s Conference" of the German Association for Communication (together with Marc Jungblut, Andrea Kloß, Angela Nienierza, Magdalena Obermaier, Christina Peter, Nina Springer, Nina Steindl, and Julian Unkel).

2016: Part of an official LMU delegation to the 2nd forum of the LMU-China Academic Network (LMU-ChAN) in order to discuss possible research cooperations as well as share thoughs on the education of data journalism. http://www.en.uni-muenchen.de/about_lmu/international_net/lmu-chan/index.html

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.

2016: Ausgezeichnet für Exzellente Lehre am IfKW der LMU (Award for Excellence in Teaching), 2nd place, for the seminar Zur Rolle von Medien in Überwachungsstaaten.

2015: * Deutscher Zeitschriftenpreis der DGPuK (Journal Paper Award of the German Association for Communication), 2nd place, for the article Emotionen bewegen? together with Magdalena Obermaier and Carsten Reinemann. http://www.dgpuk.de/uber-die-dgpuk/preise-und-preistrager/zeitschriftenpreis/

2015: Guest lecturer on data-driven journalism at the University of Southern Denmark in Odense. The course lasted for three weeks, was located within the Master's program on journalism, and dealt with the whole process of story extraction from data.

2015: Organizer of and lecturer at the Summer School on Surveillance at the Faculty of Social Sciences within the LMU Munich with 100+ participants, 3 disciplines, 5 days, 1 topic, and lots of additional events (i.e., guests, discussions, get together, one-day simulation). https://www.youtube.com/watch?v=WGds14PD_8w

Member of the German Association for Communication (DGPuK) and the International Communication Association (ICA).