Fabian Haak, M.Sc.

Profile

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

2022

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] 

2021

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]  [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

Role
Researcher / PhD Student
Mail
fabian.haak@th-koeln.de
Phone
+49 221-8275-3877
Room
B4.280