| Understanding and mitigating worker biases in the crowdsourced collection of subjective judgments C Hube, B Fetahu, U Gadiraju Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 58 | 2019 |
| Detecting biased statements in wikipedia C Hube, B Fetahu Companion proceedings of the the web conference 2018, 1779-1786, 2018 | 39 | 2018 |
| Neural based statement classification for biased language C Hube, B Fetahu Proceedings of the twelfth ACM international conference on web search and …, 2019 | 33 | 2019 |
| Bias in wikipedia C Hube Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 29 | 2017 |
| World literature according to wikipedia: Introduction to a dbpedia-based framework C Hube, F Fischer, R Jäschke, G Lauer, MR Thomsen arXiv preprint arXiv:1701.00991, 2017 | 9 | 2017 |
| Crystal clear or very vague? Effects of task clarity in the microtask crowdsourcing ecosystem U Gadiraju, B Fetahu, C Hube 1st International Workshop on Weaving Relations of Trust in Crowd Work …, 2016 | 4 | 2016 |
| Debiasing Word Embeddings from Sentiment Associations in Names C Hube, M Idahl, B Fetahu Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 3 | 2020 |
| Towards bias detection in online text corpora C Hube, R Jäschke, B Fetahu Jo Bates Paul D. Clough Robert Jäschke, 19, 0 | 2 | |
| Methods for detecting and mitigating linguistic bias in text corpora C Hube Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2020 | 1 | 2020 |
| LimitBias! Measuring Worker Biases in the Crowdsourced Collection of Subjective Judgments C Hube, B Fetahu, U Gadiraju | 1 | 2018 |
| Die Komplexität von Scrabble C Hube | | 2012 |
