In recent years, numerous strategy papers on the development of digitization and so-called artificial intelligence (AI) have been published from the European to the state level. What they all have in common is the intention of a stronger orientation toward people and the common good. If politics takes its own claim seriously, it is dependent on the support of an active and enlightened civil society that contributes its needs and ideas to the shaping of digitization policy in a mature and self-determined manner.
Otherwise, the development and implementation of AI technologies will remain the preserve of interested industry, whose primary goal is to maximize profits and increase efficiency. Studies from the U.S. and the U.K. show that the public debate to date has been heavily dominated by industry (Brennen et al. 2018; Fast & Horvitz 2017). These actors argue from their own specific logic. So far, no systematic findings are available for the German discourse. The Meinungsmonitor Künstliche Intelligenz [MeMo:AI] aims to close this gap. In research partnership with the Center for Advanced Internet Studies (CAIS), a team of communication and social scientists led by Prof. Dr. Frank Marcinkowski is investigating the constitution and change of public and media published opinions on AI.
The project is based on the assumption that the realization of a comprehensive claim to shape society requires a politicization of the topic. This means, first of all, that the topic of AI and digitization is recognized as an object of political debate and will formation. Research from other topic areas such as EU politics (e.g., De Wilde, 2011; Schattschneider, 1957) shows that three conditions must be met: (1) the existence of alternative positions in the public debate (polarization); (2) broad media attention that ensures popularization of issues and dissemination of different positions (intensity); and (3) societal attention to an issue and electoral significance (resonance). An apt example of such a development is the recent issue and political career of climate change. To what extent there will be a comparable trajectory for AI, MeMo:KI will assess this by systematically monitoring public and published opinion.
The study uses a combination of different empirical methods. Both time-honored methods of social science research such as media content analyses and surveys as well as new computer-based methods are used:
- Continuous monitoring of interest in AI, relevant opinions and intended behavior is carried out via a monthly survey of the German population aged 18 and older who use the Internet at least occasionally. In addition, special surveys will address current and specific issues surrounding AI.
- In parallel, a semi-automated topic analysis of media coverage will be carried out. This will make it possible to map the course of public and published opinion on AI. In the following, the findings will be deepened with manual content analysis and thus, among other things, the tenor of the reporting or the actor structures will be examined.
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Since April 2021, the project has been funded by Stiftung Mercator for a period of three years.
Previously, the Ministry of Culture and Science of the State of North Rhine-Westphalia funded the project for a period from January 2020 to March 2021.
Contact
Prof. Dr. Frank Marcinkowski
Communication Studies
Frank Marcinkowski has been Professor of Communication and Media Studies (KMW I) at the Institute of Social Sciences at HHU-Düsseldorf since October 2017. His research and teaching areas include communication and public sphere theories, political communication, and the social consequences of media developments.
At DIID, he is interested in the social perception, evaluation and opinion formation of digitalization.
Contact
Dr. Christopher Starke
Alumni, Communication Studies
Together with colleagues from HHU-Düsseldorf, Christopher Starke leads the two externally funded projects ‘Discourse Data for Policy’ and ‘Responsible Academic Performance Prediction’. He has been employed as a post-doctoral researcher at the Amsterdam School of Communication Research and at the interdisciplinary research network Human(e) AI at the University of Amsterdam since 2021.
In his research, he investigates the impact of Artificial Intelligence on democracy. This includes the following research areas: Perceptions of fairness, legitimacy, and technocracy in relation to algorithmic decision-making systems in the public sector; potentials and challenges of AI to fight corruption; political consumer choices in the attention economy.
Pero Došenović
Alumni, Communication Studies
Pero Došenović has been working as a management consultant at the Center for Advanced Internet Studies since 2023. Previously, he served as a research assistant and coordinator of the “Competence Center Media Practice” with a focus on applied market and opinion research at the University of Münster and as a research assistant at the HHU-Düsseldorf at the Chair of Communication and Media Studies I.
Among other things, he conducted research on the public perception of artificial intelligence from 2020 to 2022 in the “Meinungsmonitor Künstliche Intelligenz” project funded by the Mercator Foundation.
Contact
Birte Keller
Communication Studies
Birte Keller has been a research assistant at the Chair of Communication and Media Studies I at HHU-Düsseldorf since January 2020. She first studied Social Sciences in the Bachelor’s program and later Political Communication at HHU-Düsseldorf. In 2019, she worked as a research assistant at the chair of Prof. Dr. Marcinkowski, where she supported the project “Fair Artificial Intelligence Reasoning in Higher Education” as part of the project series “Artificial Intelligence – Its Impact on Tomorrow’s Society” of the Volkswagen Foundation. Building on this, her master’s thesis focused on perceptions of artificial intelligence in higher education.
She is currently working on the Opinion Monitor Artificial Intelligence [MeMo:AI], which is being realized in research partnership with the Center for Advanced Internet Studies (CAIS).
Kimon Kieslich
Alumni, Communication Studies
Kimon Kieslich, M. A., is a research associate at the University of Amsterdam in the Department of Information Law. Previously, he worked as a research assistant at the Chair of Communication and Media Studies I at HHU-Düsseldorf and in the research project Meinungsmonitor Künstliche Intelligenz [MeMo:KI]. He studied communication science (B.A. & M.A.) at the Westfälische Wilhelms-Universität Münster. In his research, he is concerned with population opinion on AI, media coverage of AI, and the ethical and social impact of (future) AI technologies on society.
In particular, he is interested in the following research areas: Public good-oriented AI; legitimacy perceptions of algorithmic systems; human-machine interaction and the anticipation of AI impacts on society.