Fabian Haak, M.Sc.


Fabian Haak is a research associate at the Institute of Information Science at TH Köln (University of Applied Sciences). He is part of the team led by Prof. Philipp Schaer and works in the area of information retrieval and recommender systems.

As a member of the ESUPOL team, Fabian researches how search engines can influence political opinion-forming and political issues. With a B.Sc. in Communication and Multimedia Design and a M.Sc. in Marketing and Media Research, Fabian feels at home where IT, social science and communication meet. His previous research focused on text mining and natural language processing, especially sentiment analysis.

List of Publications


Dynamics in Search Engine Query Suggestions for European Politicians.
In: Proceedings of WebSci'24. 2024.
Franziska Pradel, Fabian Haak, Sven-Oliver Proksch and Philipp Schaer.
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias.
Timo Spinde, Smilla Hinterreiter, Fabian Haak, Terry Ruas, Helge Giese, Norman Meuschke and Bela Gipp.
[pdf]  [BibTeX] 


Text Simplification of Scientific Texts for Non-Expert Readers.
In: SimpleText@CLEF-2023, volume abs/2307.03569, series CEUR Workshop Proceedings. 2023.
Björn Engelmann, Fabian Haak, Christin Katharina Kreutz, Narjes Nikzad-Khasmakhi and Philipp Schaer.
[doi] [pdf]  [BibTeX] 
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] [pdf]  [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] 


Design and Development of an Emoji Sentiment Lexicon.
In: Information between Data and Knowledge, pages 432-438. Werner Hülsbusch, Glückstadt, 2021. Gerhard Lustig Award Papers
Fabian Haak.
[pdf]  [abstract]  [BibTeX] 
Emojis in Lexicon-Based Sentiment Analysis: Creating Emoji Sentiment Lexicons from Unlabeled Corpora.
In: S. Thomas, F. Michael and O. Sandra, editors, Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, pages 279-286. CEUR-WS, 2021.
Fabian Haak.
[doi] [pdf]  [BibTeX] 
IRCologne at GermEval 2021: Toxicity Classification.
In: Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, pages 47-53. Association for Computational Linguistics, Duesseldorf, Germany, 2021.
Fabian Haak and Björn Engelmann.
[doi] [pdf]  [abstract]  [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] 

M.Sc.Fabian Haak

Researcher / PhD Student