Julian Kauk

Wissenschaftlicher Mitarbeiter

Arbeits- und Forschungsschwerpunkte

  • Desinformationen 
  • Social Media
  • Verschwörungsdenken

Vita

Seit 04/2025: Wissenschaftlicher Mitarbeiter am KomRex der FSU Jena 

10/2021 - 03/2025: Doktorand am Institut für Psychologie der FSU Jena (Promotionsstipendium der Studienstiftung des deutschen Volkes)

04/2022 - 03/2025: Dozent am Institut für Psychologie an der FSU Jena

02/2024 - 03/2024 Forschungsaufenthalt: Cambridge Social Decision Making Lab, University of Cambridge (UK)

10/2014 - 09/2018: Master (M.Sc.) in Psychologie, FSU Jena

10/2014 – 09/2018: Bachelor (B.Sc.) in Psychologie, Otto-von-Guericke-Universität-Magdeburg

Publikationen

  • Kauk, J., Humprecht, E., Kreysa, H., & Schweinberger, S. R. (2025). Large-scale analysis of online
    social data on the long-term sentiment and content dynamics of online (mis)information.
    Computers in Human Behavior, 165, 108546. doi:https://doi.org/10.1016/j.chb.2024.108546
  • Kauk, J., Kreysa, H., & Schweinberger, S. R. (2025). Large-scale analysis of fact-checked stories
    on Twitter reveals graded effects of ambiguity and falsehood on information reappearance.
    PNAS Nexus, 4(2), pgaf028. doi:10.1093/pnasnexus/pgaf028
  • Kauk, J., Kreysa, H., Scherag, A., & Schweinberger, S. R. (2024). The adaptive community-response
    (ACR) method for collecting misinformation on social media. Journal of Big Data, 11(1), 35.
    doi:10.1186/s40537-024-00894-w
  • Von Eiff, C., Kauk, J., & Schweinberger, S. (2023). The Jena Audiovisual Stimuli of Morphed
    Emotional Pseudospeech (JAVMEPS): A database for emotional auditory-only, visual-only,
    and congruent and incongruent audiovisual voice and dynamic face stimuli with varying voice
    intensities. Behavior Research Methods, 56, 5103–5115. doi:10.3758/s13428-023-02249-4
  • Kauk, J., Kreysa, H., & Schweinberger, S. R. (2021). Understanding and countering the spread of
    conspiracy theories in social networks: Evidence from epidemiological models of twitter data.
    PLOS ONE, 16(8), 1–20. doi:10.1371/journal.pone.0256179
  • Rufener, K. S., Kauk, J., Ruhnau, P., Repplinger, S., Heil, P., & Zaehle, T. (2020). Inconsistent
    effects of stochastic resonance on human auditory processing. Scientific Reports, 10(1), 1–10.
    doi:10.1038/s41598-020-63332-w
  • Kauk, J., Kreysa, H., Voigt, A., & Schweinberger, S. (2022). Verschwörungsdenken - Zwischen
    Populärkultur und politischer Mobilisierung. In F. Hessel, P. Chakkarath, & M. Luy (Eds.),
    (Chap. #flattenthecurve: Wie begrenzen wir die Welle von Falschinformationen und Verschwörungserzählungen in digitalen sozialen Netzwerken?). Gießen: Psychsozial-Verlag.

Präsentationen

  • Kauk, J. (2022). #flattenthecurve: Modelling the diffusion and containment of misinformation in
    social networks via epidemic models. Keynote given on July 22, 2022, 16th Summer Academy
    on ’Innovation, Digitalization and Sustainability’, Friedrich Schiller University Jena.
    Talks
  • Kauk, J. (2025). Understanding the Temporal Dynamics of Online (Mis)information: Insights from
    Longitudinal Social Data. Talk given on January 14, 2025, PSY-Up Conference, Friedrich
    Schiller University Jena.
  • Kauk, J. (2024). eXploring the New Twitter: How Elon Musk has Rejiggered the Platform’s
    Discourse. Talk given on September 4, 2024, Symposium on the Liberty and Ownership of
    Social Data, Friedrich Schiller University Jena.
  • Kauk, J. (2024). Understanding the Temporal Dynamics of Online (Mis)information: Insights from
    Epidemic Models and Longitudinal Social Data. Talk given on June 26, 2024, Lecture Series
    "Political Communication", Institute of Communication Science, Friedrich Schiller University
    Jena.
  • Kauk, J. (2023). Detection of misinformation and its temporal patterns: Analyses based on Twitter
    data. Talk given on June 6, 2023, Research Seminars in General Psychology and Cognitive
    Neuroscience, Friedrich Schiller University Jena.
  • Kauk, J. (2022). #flattenthecurve: Cognitive models and empirical findings as mainstays in the
    containment of misinformation and conspiracy theories. Talk given on June 14, 2022, Workshop
    ’Recognize, name conspiracy theories, and (re)act correctly in the professional field’, Protestant
    University Dresden.
  • Kauk, J. (2021). ’Flatten the curve’ of misinformation: Epidemic models as a promising new
    framework for studying the spread and containment of low-credibility information in social
    networks. Talk given on November 11, 2021, 6th International Symposium on Systems Biology
    of Microbial Infections, Leibniz Association.
  • Kauk, J. (2021). Understanding and countering the spread of conspiracy theories in social networks:
    Evidence from epidemiological models of Twitter data + Promoting Science in Social Media.
    Talk given on November 2, 2021, Research Seminars in General Psychology and Cognitive
    Neuroscience, Friedrich Schiller University Jena.

In den Medien

  • Kauk, J. (2025). Gastbeitrag: Warum Thüringen mehr für den Klimaschutz tun muss. Published:
    February 07, 2025. Thüringische Landeszeitung.
  • Brühl, U. (2021). Mathematische Parallelen von Fake News und Epidemien. https://kurier.at/
    wissen/gesundheit/mathematische-parallelen-von-fake-news-und-epidemien/401473960.
    Retrieved: 09/20/2021. Kurier Zeitungsverlag und Druckerei GmbH.
  • Busse, V. (2021). Parallelen zwischen der Verbreitung von Verschwörungstheorien und Infektionskrankheiten. https://idw-online.de/de/news774267. Retrieved: 08/20/2021. Friedrich Schiller University Jena.
  • Haug, C. (2021). Fakenews-Pandemie: Fakt-Checking besser als Löschen. https://www.mdr.de/
    wissen/fakenews-verbreitung-wie-viren-epidemiologisches-modell-uni-jena-100.html.
    Retrieved: 08/20/2021. Mitteldeutscher Rundfunk.
  • Murgia, M. (2021). Ways to make social media less ’viral’. https://www.ft.com/content/b9ed8ce4-
    4fb0-4ef3-ae0b-95ea37368d16. Retrieved: 12/20/2021. Financial Times.
  • n-tv NACHRICHTEN. (2021). Wie bei Infektionskrankheiten: So verbreiten sich Verschwörungstheorien.
    https://www.n- tv.de/wissen/So- verbreiten- sich-Verschwoerungstheorienarticle22746037.
    html. Retrieved: 08/20/2021. ntv Nachrichtenfernsehen GmbH.
  • Krauter, R., & Kohlenbach, L. (2021). Forschung aktuell 16.08.2021 (Wissenschaftsmeldungen).
    https : / / podcast - mp3 . dradio . de / podcast / 2021 / 08 / 16 / wissenschaftsmeldungen_
    16082021_dlf_20210816_1654_77929c91.mp3. Retrieved: 08/20/2021. Deutschlandfunk.