Thomas Kolb




Thomas Kolb conducting research as part of his Ph.D. on the subject of long-term dynamics of bias and fairness in cross-domain recommender Systems. To analyse these dynamics in a real world environment we work together with a company within the domain of news, books and lifestyle. The exploration of long-term dynamics in this field has immense potential for the development of fairer recommender systems. He firmly believes in the significance of providing the research community with fresh insights to foster the creation of responsible and fair recommender systems.

Links

Publications

  • The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic / Kolb, T. E., Nalis, I., Sertkan, M., & Neidhardt, J. (2022). The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic. In Kolb Thomas (Ed.), Unofficial Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation at RecSys 2022. https://doi.org/10.48550/ARXIV.2209.07608

  • Dynamic sentiment analysis for measuring media bias / Kolb, T. E. (2022). Dynamic sentiment analysis for measuring media bias [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.73300

  • The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers / Kolb, T., Sekanina, K., Kern, B. M. J., Neidhardt, J., Wissik, T., & Baumann, A. (2022). The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers. In LREC 2022 Conference Proceedings (pp. 4708–4716). European Language Resources Association. https://doi.org/10.34726/4101

  • Creating an Austrian language polarity dictionary with the crowd / Kolb, T. E., Sekanina, K., Kern, B. M. J., Neidhardt, J., Baumann, A., & Wissik, T. (2021, December 11). Creating an Austrian language polarity dictionary with the crowd [Conference Presentation]. Workshop: “Österreichisches Treffen zu Sentimentinferenz (ÖTSI)” der Österreichischen Linguistik-Tagung 2021, Austria. http://hdl.handle.net/20.500.12708/153831

  • A review and cluster analysis of German polarity resources for sentiment analysis / Kern, B., Baumann, A., Kolb, T., Sekanina, K., Hofmann, K., Wissik, T., & Neidhardt, J. (2021). A review and cluster analysis of German polarity resources for sentiment analysis. In 3rd Conference on Language, Data and Knowledge (LDK 2021) (pp. 1–17). OASICS. https://doi.org/10.4230/OASIcs.LDK.2021.37

Activities & Talks

  • Speaker at the DigHum Summer School 2023

  • Speaker at the ÖAW AI Winter School 2023

Teaching

  • 194.035 Recommender Systems 2021, 2022, 2023

  • 194.050 Social Network Analysis 2021, 2022

Supervisions

  • COVID-19 and Populism in Austrian News User Comments - A Machine Learning Approach / Wagne, A. (2023). COVID-19 and Populism in Austrian News User Comments - A Machine Learning Approach [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.105940

  • Exploring Group Fairness in News Media Recommendations: Algorithms, Metrics, and Grouping / Huebner, B. (2023). Exploring Group Fairness in News Media Recommendations: Algorithms, Metrics, and Grouping [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.107255