other publications
Project Reports
Kessler, S. H., Rabinovich, M., & Boulila, S. (2024). Science vs. Activism? Exploring the Boundary: Perspectives of Young Researchers in Switzerland. Swiss Young Academy.
Kessler, S. H. (2023). Vorsicht #Desinformation: Die Wirkung von desinformierenden Social Media-Posts auf die Meinungsbildung und Interventionen [Caution #Disinformation: The effect of disinforming social media posts on opinion formation and interventions.]. Landesanstalt für Medien NRW
Humprecht, E. & Kessler, S. H. (2022). Misinformation on COVID-19 vaccination on YouTube: An Analysis of Content, Impact, and Subsequent Verification Processes via Online Search. Bundesamt für Kommunikation Schweiz (BAKOM).
Editorials
Kessler, S. H., Mahl, D., Schäfer, M. S., & Volk, S. C. (2025). Science Communication in the Age of Artificial Intelligence. Journal of Science Communication JCOM, 24(2), E. DOI: 10.22323/2.24020501
Artificial Intelligence (AI) is fundamentally transforming science communication. This editorial for the JCOM Special Issue “Science Communication in the Age of AI” explores the implications of AI, especially generative AI, for science communication, its promises and challenges. The articles in this Special Issue can be categorized into four key areas: (1) communication about AI, (2) communication with AI, (3) the impact of AI on science communication ecosystems, and (4) AI’s influence on science, theoretical and methodological approaches. This collection of articles advances empirical and theoretical insight into AI’s evolving role in science communication, emphasizing interdisciplinary and comparative perspectives.
Kessler, S. H. & Schmid, P. (2022). Mis- and Disinformation About Covid-19: Challenges for Health Communication. Editorial. European Journal of Health Communication, 3(2), I-VI. DOI: 10.47368/ejhc.2022.200
Misinformation and disinformation pose major challenges to effective health communication around the globe during the Covid-19 pandemic. In this special issue, we present research on mis- and disinformation about Covid-19 in the European context and describe challenges and potential solutions for health communication. More specifically, the special issue features articles that analyse (a) the prevalence of mis- and disinformation beliefs about Covid-19 and their impact on individuals, as well as the drivers of these beliefs and (b) the effectiveness of potential prebunking and debunking interventions to combat mis- and disinformation. The articles demonstrate the relevance of political attitudes and media use as significant predictors of belief in health misinformation and tested a variety of effective interventions– from pausing to think critically to detailed debunking. Together, the collection of articles serves to support the evidence-based efforts of international organisations, governments, social media technology companies, and major academic institutions to address the problem of health mis- and disinformation.
Book Reviews
Kessler, S. H. (2020). Zachmann, K. & Ehlers, S. (Hrsg.) (2019): Wissen und Begründen. Evidenz als umkämpfte Ressource in der Wissensgesellschaft [Knowledge and Reasoning. Evidence as a contested resource in the knowledge society]. Medien & Kommunikationswissenschaft, 68(1), 158-159.
Kessler, S. H. (2019). Julian Unkel (2019): Informationsselektion mit Suchmaschinen: Wahrnehmung und Auswahl von Suchresultaten [Information selection with search engines: Perception and selection of search results]. Medien & Kommunikationswissenschaft, 67(4), 464-465.
Kessler, S. H. (2016). Johannes Knoll (2015): Persuasion in sozialen Medien: Der Einfluss nutzergenerierter Inhalte auf die Rezeption und Wirkung von Onlinewerbung [Persuasion in social media: The influence of user-generated content on the reception and impact of online advertising]. Wiesbaden: Springer VS. Medien & Kommunikationswissenschaft, 64(1), 132-133
Evaluation & Community Reports
Oehmer-Pedrazzi, F., Kessler, S. H., Humprecht, E., Sommer, K., & Castro, L. (2023). Steckbrief «DOCA – Database of Variables for Content Analysis». Zur Relevanz, Zielstellung, Inhalt und Partizipationsmöglichkeiten der Datenbank für Operationalisierungen der standardisierten Inhaltsanalyse [Fact sheet "DOCA - Database of Variables for Content Analysis". On the relevance, objectives, content, and participation possibilities of the database for operationalizations of standardized content analysis]. Studies in Communication Sciences, 23(3), 391–395.
Oehmer, F., Kessler, S. H., Humprecht, E., Sommer, K., & Castro Herrero, L. (2023). Eight Months of DOCA. Learnings from an Evaluation of the Database of Variables for Content Analysis in November 2022. Database of Variables for Content Analysis - DOCA.
Project Brochures
Kessler, S. H, Mahl, D., Schäfer, M. S., Georgi, F. & Jobin, A. (2024). How to counter online misinformation and conspiracy theories: Recommendations from scholars and practitioners.
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