Implications of AI (un-)fairness in higher education admissions: the effects of perceived AI (un-)fairness on exit, voice and organizational reputation. - Frank Marcinkowski; Kimon Kieslich; Christopher Starke; Marco Lünich (FAT*, 2020)

The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains. - Kimon Kieslich; Marco Lünich; Frank Marcinkowski (CoRR, 2020)

The Threats of Artificial Intelligence Scale (TAI). - Kimon Kieslich; Marco Lünich; Frank Marcinkowski (Int. J. Soc. Robotics, 2021)

From incidental exposure to intentional avoidance: Psychological reactance to political communication during the 2017 German national election campaign. - Frank Marcinkowski; Pero Dosenovic (New Media Soc., 2021)

Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature. - Christopher Starke; Janine Baleis; Birte Keller; Frank Marcinkowski (Big Data Soc., 2022)

Diverging perceptions of artificial intelligence in higher education: A comparison of student and public assessments on risks and damages of academic performance prediction in Germany. - Marco Lünich; Birte Keller; Frank Marcinkowski (Comput. Educ. Artif. Intell., 2024)

Public Discourse about COVID-19 Vaccinations: A Computational Analysis of the Relationship between Public Concerns and Policies. - Katarina Boland; Christopher Starke; Felix Bensmann; Frank Marcinkowski; Stefan Dietze (CoRR, 2024)

Fairness of Academic Performance Prediction for the Distribution of Support Measures for Students: Differences in Perceived Fairness of Distributive Justice Norms. - Marco Lünich; Birte Keller; Frank Marcinkowski (Technol. Knowl. Learn., 2024)