| Auditing search query suggestion bias through recursive algorithm interrogation F Haak, P Schaer Proceedings of the 14th ACM Web Science Conference 2022, 219-227, 2022 | 7 | 2022 |
| Perception-aware bias detection for query suggestions F Haak, P Schaer International Workshop on Algorithmic Bias in Search and Recommendation, 130-142, 2021 | 5 | 2021 |
| The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias T Spinde, S Hinterreiter, F Haak, T Ruas, H Giese, N Meuschke, B Gipp arXiv preprint arXiv:2312.16148, 2023 | 3 | 2023 |
| Text Simplification of Scientific Texts for Non-Expert Readers B Engelmann, F Haak, CK Kreutz, NN Khasmakhi, P Schaer arXiv preprint arXiv:2307.03569, 2023 | 3 | 2023 |
| Emojis in Lexicon-Based Sentiment Analysis: Creating Emoji Sentiment Lexicons from Unlabeled Corpora. F Haak LWDA, 279-286, 2021 | 1 | 2021 |
| Dynamics in Search Engine Query Suggestions for European Politicians F Pradel, F Haak, SO Proksch, P Schaer Proceedings of the 16th ACM Web Science Conference, 279-289, 2024 | | 2024 |
| Qbias-A Dataset on Media Bias in Search Queries and Query Suggestions F Haak, P Schaer Proceedings of the 15th ACM Web Science Conference 2023, 239-244, 2023 | | 2023 |
| Investigation of Bias in Web Search Queries F Haak European Conference on Information Retrieval, 443-449, 2023 | | 2023 |
| IRCologne at GermEval 2021: Toxicity Classification F Haak, B Engelmann Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic …, 2021 | | 2021 |
| Design and Development of an Emoji Sentiment Lexicon F Haak Werner Hülsbusch 74, 432-438, 2021 | | 2021 |
