Biography
Andreas Jungherr is Professor for Political Science, especially Digital Transformation at the Institute for Political Science at the University of Bamberg.
He examines the impact of digital media on politics and society. Currently, he is working on the impact of artificial intelligence on society and politics. He has also worked on the uses of digital media and technology by publics, political actors, and organizations in international comparison. He also addresses challenges for scientific research in reaction to digital change in order to realize opportunities emerging from new data sources and analytical approaches. He has focused on harnessing the potential of digital methods and computational social science while addressing methodological challenges in its integration into the social sciences. Depending on the object under study, he also uses traditional quantitative and qualitative empirical approaches.
Currently, Jungherr is writing a book for Cambridge University Press on the different ways how the social sciences can inform computer science in the design, deployment, and governance of artificial intelligence.
He is lead investigator of “Communicative Power in Hybrid Media Systems“, a project financed by the VolkswagenStiftung (2017-2024). The interdisciplinary project, featuring computer and information scientists, focuses on the interconnection between political coverage in legacy, online media, and political talk on online platforms in Germany, UK, USA, and South Korea.
Previously Jungherr was Professor for Communication Science with Special Focus on the Digital Transformation and Publics at the Friedrich-Schiller-University Jena (2020-2021), Juniorprofessor (Assistant Professor) for Social Science Data Collection and Analysis at the University of Konstanz (2016-2020), Visiting Professor at the University of Zurich (2018-9), Post-Doc at the Chair for Political Psychology at the University of Mannheim (2014-6), and a Research Associate at the Chair for Political Sociology at the University of Bamberg (2009-14) where he also defended his PhD in 2014.
In the book Digital Transformations of the Public Arena (2022, Cambridge University Press), Jungherr and his co-author Ralph Schroeder discuss the structural transformation of the contemporary public arena and associated political and social challenges.
Jungherr’s previous book with Cambridge University Press is Retooling Politics: How Digital Media are Shaping Democracy (with Gonzalo Rivero and Daniel Gayo-Avello). He is also author of the books Analyzing Political Communication with Digital Trace Data: The Role of Twitter Messages in Social Science Research (Springer: 2015) and Das Internet in Wahlkämpfen: Konzepte, Wirkungen und Kampagnenfunktionen (with Harald Schoen, Springer VS: 2013).
Jungherr’s articles have appeared in Journal of Communication, Journal of Computer-Mediated Communication, The International Journal of Press/Politics, Review of International Political Economy, Party Politics, Politische Vierteljahresschrift, Social Science Computer Review, Journal of Information Technology & Politics, Zeitschrift für Parlamentsfragen, and Internationale Politik.
Jungherr and his work are regularly featured in international media coverage. He has offered assessments on digital media, data-driven campaigning, political communication in general, and the social and political potential of big data and computational social science.
His work has been covered by The Atlantic, The Guardian, Neue Zürcher Zeitung (NZZ), Newsweek, Reuters, The Washington Post, Westdeutscher Rundfunk (WDR), and others. He has written guest pieces for Spiegel Online and Der Tagesspiegel and given interviews for 3sat, Cicero, Deutsche Presse-Agentur (dpa), Deutschlandfunk, Deutschlandradio Wissen, Südwestrundfunk (SWR), and Westdeutscher Rundfunk (WDR). Jungherr has been quoted in pieces by Bayerischer Rundfunk (BR), Bild, CNN, Deutsche Welle, Deutschlandfunk, Financial Times Deutschland, Frankfurter Allgemeine Zeitung, Handelsblatt, New Scientist, The New York Times, Norddeutscher Rundfunk (NDR), Politico, Politik & Kommunikation, Der SPIEGEL, Der Tagesspiegel, Die Welt, Westdeutscher Rundfunk (WDR), and others.
At the Universities Bamberg, Konstanz, Luzern, Mannheim, Zurich, and the Zeppelin University he has taught courses on:
Conceptual and Topical Courses:
Methods and Research Design:
Jungherr is a regular speaker at international conferences, be it in the social sciences or computer science. He has presented papers at the APSA Annual Meeting, CHI, CIKM, ECPR General Conference, ECPR Joint Sessions, EPSA Annual Meeting, HICSS, ICA Annual Conference, ICWSM, MPSA Annual Conference, the Oxford Internet Institute, the University of Illinois at Chicago, and Wellesley College. He is also a regular speaker at conferences addressing a general audience, such as re:publica, reCampaign, or the Personal Democracy Forum Europe.
With Pascal Jürgens, Jungherr published a software package and a tutorial on how to collect, prepare, and analyze Twitter-data.
Selected Publications
Artificial Intelligence (AI)
Andreas Jungherr and Ralph Schroeder. 2023. Artificial intelligence and the public arena. Communication Theory 33(2-3): 164-173. doi: 10.1093/ct/qtad006.
Andreas Jungherr. 2023. Artificial Intelligence and Democracy: A Conceptual Framework. Social Media + Society 9(3): 1-14. doi: 10.1177/20563051231186353.
Andreas Jungherr. 2023. Using ChatGPT and Other Large Language Model (LLM) Applications for Academic Paper Assignments. SocArxiv. https://doi.org/10.31235/osf.io/d84q6
Digital Media in Politics
Overview
Andreas Jungherr, Gonzalo Rivero, and Daniel Gayo-Avello. 2020. Retooling Politics: How Digital Media are Shaping Democracy. New York, NY: Cambridge University Press.
Andreas Jungherr. 2017. Das Internet in der politischen Kommunikation: Forschungsstand und Perspektiven. Politische Vierteljahresschrift 58(2): 285-316. doi: 10.5771/0032-3470-2017-2-285 [Preprint]
Public Arena
Andreas Jungherr and Ralph Schroeder. 2022. Digital Transformations of the Public Arena. New York: Cambridge University Press.
Andreas Jungherr and Ralph Schroeder. 2021. Disinformation and the Structural Transformations of the Public Arena: Addressing the Actual Challenges to Democracy. Social Media + Society 7(1): 1-13. doi:10.1177/2056305121988928
Andreas Jungherr, Oliver Posegga, and Jisun An. 2019. Discursive Power in Contemporary Media Systems: A Comparative Framework. The International Journal of Press/Politics 24(4): 404-425. doi: 10.1177/1940161219841543.
Political Parties
Andreas Jungherr, Ralph Schroeder, and Sebastian Stier. 2019. Digital Media and the Surge of Political Outsiders: Explaining the Success of Political Challengers in the US, Germany and China. Social Media + Society 5(3): 1-12. doi: 10.1177/2056305119875439.
Andreas Jungherr. 2016. Four Functions of Digital Tools in Election Campaigns: The German Case. The International Journal of Press/Politics 21(3): 358-377. doi: 10.1177/1940161216642597
Andreas Jungherr. 2016. Datengestützte Verfahren im Wahlkampf. ZPB Zeitschrift für Politikberatung 1/2016: 3-14. doi: 10.5771/1865-4789-2016-1-3 [Preprint]
Andreas Jungherr. 2012. “Online campaigning in Germany: The CDU online campaign for the general election 2009 in Germany.” German Politics 21(3): 317-340. doi: 10.1080/09644008.2012.716043 [Preprint]
Andreas Jungherr. 2012. “The German federal election of 2009: The challenge of participatory cultures in political campaigns.” Transformative Works and Cultures 10. doi:10.3983/twc.2012.0310
Participation and Mobilization
Andreas Jungherr, Oliver Posegga, and Jisun An. 2021. Populist Supporters on Reddit: A Comparison of Content and Behavioral Patterns Within Publics of Supporters of Donald Trump and Hillary Clinton. Social Science Computer Review. doi:10.1177/0894439321996130. (Online First).
Jisun An, Haewoon Kwak, Oliver Posegga, and Andreas Jungherr. 2019. Political discussions in homogeneous and cross-cutting communication spaces: Interaction patterns and linguistic strategies on Reddit. In ICWSM 2019: Proceedings of the 13th International AAAI Conference on Web and Social Media. Menlo Park: Association for the Advancement of Artificial Intelligence (AAAI). p. 68–79. [pdf]
Andreas Jungherr. 2016. Twitter Use in Election Campaigns: A Systematic Literature Review. Journal of Information Technology & Politics 13(1): 72-91. doi: 10.1080/19331681.2015.1132401
Andreas Jungherr and Pascal Jürgens. 2016. Twitter-Nutzung in den Bundestagswahlkämpfen 2009 und 2013 im Vergleich. In Vergleichende Wahlkampfforschung: Studien anlässlich der Wahlen in Deutschland, eds. Jens Tenscher and Uta Rußmann. Wiesbaden, DE: Springer VS. p. 155-174. doi: 10.1007/978-3-658-12977-4_8
Andreas Jungherr and Pascal Jürgens. 2014. “Through a glass, darkly: tactical support and symbolic association in Twitter messages commenting on Stuttgart 21.” Social Science Computer Review 32(1): 74-89. doi: 10.1177/0894439313500022 [Preprint]
Public information campaigns and participatory opportunities
Andreas Jungherr, Alexander Wuttke, Matthias Mader, and Harald Schoen. 2021. A source like any other? Field and survey experiment evidence on how interest groups shape public opinion. Journal of Communication 71(2). doi:10.1093/joc/jqab005. (Online First).
Alexander Wuttke, Andreas Jungherr, and Harald Schoen. 2019. More than opinion expression: Secondary effects of intraparty referendums on party members. Party Politics 25(6): 817-827. doi: 10.1177/1354068817745729.
Andreas Jungherr, Matthias Mader, Harald Schoen, and Alexander Wuttke. 2018. Context-driven attitude formation: The difference between supporting free trade in the abstract and supporting specific trade agreements. Review of International Political Economy 25(2): 215-242. doi:10.1080/09692290.2018.1431956 [Replication Data]
Andreas Jungherr and Pascal Jürgens. 2011. “E-Petitionen in Deutschland: Zwischen niedrigschwelligem Partizipationsangebot und quasi-plebiszitärer Nutzung.” Zeitschrift für Parlamentsfragen 3/2011: 521-534. doi: 10.5771/0340-1758-2011-3-523
Andreas Jungherr and Pascal Jürgens. 2010. “The political click: political participation through e-petitions in Germany“, Policy & Internet, 2(4) Article 6.
Computational Social Science
Yannis Theocharis and Andreas Jungherr. 2020. Computational Social Science and the Study of Political Communication. Political Communication 38(1-2): 1-22. doi: 10.1080/10584609.2020.1833121.
Andreas Jungherr. 2019. Normalizing Digital Trace Data. In Digital Discussions: How Big Data Informs Political Communication, eds. Natalie Jomini Stroud and Shannon McGregor. New York, NY: Routledge. p. 9-35. doi: https://doi.org/10.4324/9781351209434-2 [Preprint]
Andreas Jungherr and Yannis Theocharis. 2017. The Empiricist’s Challenge: Asking Meaningful Questions in Political Science in the Age of Big Data. Journal of Information Technology & Politics 14(2): 97-109. doi: 10.1080/19331681.2017.1312187
Andreas Jungherr, Harald Schoen, Oliver Posegga, and Pascal Jürgens. 2017. Digital Trace Data in the Study of Public Opinion: An Indicator of Attention Toward Politics Rather Than Political Support. Social Science Computer Review 35(3): 336-356. doi: 10.1177/0894439316631043
Andreas Jungherr, Harald Schoen, and Pascal Jürgens. 2016. The mediation of politics through Twitter: An analysis of messages posted during the campaign for the German federal election 2013. Journal of Computer-Mediated Communication 21(1): 50-68. doi: 10.1111/jcc4.12143
Andreas Jungherr. 2015. Analyzing Political Communication with Digital Trace Data: The Role of Twitter Messages in Social Science Research. Cham: Springer. [Springer Link] [amazon.de].
Andreas Jungherr, and Pascal Jürgens. 2014. “Through a glass, darkly: tactical support and symbolic association in Twitter messages commenting on Stuttgart 21.” Social Science Computer Review 32(1): 74-89. doi: 10.1177/0894439313500022
Andreas Jungherr, Pascal Jürgens, and Harald Schoen. 2012. “Why the Pirate Party won the German election of 2009 or the trouble with predictions: a response to Tumasjan, A., Sprenger, T.O., Sander, P.G. & Welpe, I.M. ‘Predicting elections with Twitter: what 140 characters reveal about political sentiment’.” Social Science Computer Review 30(2): 229-234. doi: 10.1177/0894439311404119
Software
Pascal Jürgens and Andreas Jungherr. 2016. twitterresearch [Computer software]. Available at https://github.com/trifle/twitterresearch
Pascal Jürgens and Andreas Jungherr. 2016. A Tutorial for Using Twitter Data in the Social Sciences: Data Collection, Preparation, and Analysis. Social Science Research Network (SSRN).