ESUPOL - Einfluss von Suchmaschinen auf die politische Meinungsbildung

Profile & Description
Influence of Web Search Engines on Political Opinion Formation

The Ministry of Culture and Science of the German State of North Rhine-Westphalia has approved funding for a state-wide graduate institute on “Digital Societies”. Philipp Schaer (Professor for Information Retrieval at TH Köln, University of Applied Sciences) and Sven-Oliver Proksch (Cologne Center for Comparative Politics) will conduct an interdisciplinary project on the influence of search engines on political opinion formation. The project will collect large amounts of web data from various search engines and analyze them using natural language processing and investigate the effects on opinion formation using laboratory experiments.

More information is available at

Funding Agency
Ministerium für Kultur und Wissenschaft NRW
Partner Institution
University of Cologne
People Involved
Prof. Dr. Philipp Schaer (Technische Hochschule Köln)
Fabian Haak, M.Sc. (since 08/2020) (Technische Hochschule Köln)
Prof. Dr. Sven-Oliver Proksch (University of Cologne)
Franziska Pradel, M.Sc. (University of Cologne)
Malte Bonart, M.Sc. (until 12/2019) (Technische Hochschule Köln)

ProjectESUPOL - Einfluss von Suchmaschinen auf die politische Meinungsbildung

2018 - 2022
Funded by



Investigation of Bias in Web Search Queries.
In: Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III, pages 443–449. Springer-Verlag, Berlin, Heidelberg, 2023.
Fabian Haak.
[doi]  [abstract]  [BibTeX] 
Qbias - A Dataset on Media Bias in Search Queries and Query Suggestions.
In: Proceedings of the 15th ACM Web Science Conference 2023, series WebSci '23, pages 239–244. Association for Computing Machinery, New York, NY, USA, 2023.
Fabian Haak and Philipp Schaer.
[doi]  [abstract]  [BibTeX] 


Auditing Search Query Suggestion Bias Through Recursive Algorithm Interrogation.
In: 14th ACM Web Science Conference 2022, pages 219–227. ACM, 2022.
Fabian Haak and Philipp Schaer.
[doi]  [BibTeX] 


Perception-Aware Bias Detection for Query Suggestions.
In: L. Boratto, S. Faralli, M. Marras and G. Stilo, editors, Advances in Bias and Fairness in Information Retrieval - Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings, volume 1418, series Communications in Computer and Information Science. Springer Nature, Switzerland, 2021.
Fabian Haak and Philipp Schaer.
[pdf]  [BibTeX] 


An investigation of biases in web search engine query suggestions.
Online Information Review, 44(2):365-381, 2019.
Malte Bonart, Anastasiia Samokhina, Gernot Heisenberg and Philipp Schaer.
[doi] [pdf]  [abstract]  [BibTeX] 
Fair ranking in academic search - Notebook for the TREC 2019 Fair Ranking Track..
In: E. M. Voorhees and A. Ellis, editors, TREC, volume 1250, series NIST Special Publication. National Institute of Standards and Technology (NIST), 2019.
Malte Bonart.
[pdf]  [BibTeX] 
Computational Methods in Professional Communication..
In: ProComm, pages 275-285. IEEE, 2019.
André Calero Valdez, Lena Adam, Dennis Assenmacher, Laura Burbach, Malte Bonart, Lena Frischlich and Philipp Schaer.
[pdf]  [BibTeX] 


Intertemporal Connections Between Query Suggestions and Search Engine Results for Politics Related Queries.
In: EuroCSS 2018 Dataset Challenge. Cologne, 2018.
Malte Bonart and Philipp Schaer.
[doi] [pdf]  [BibTeX]