Identifying and measuring annotator bias based on annotators’ demographic characteristics H Al Kuwatly, M Wich, G Groh Proceedings of the fourth workshop on online abuse and harms, 184-190, 2020 | 98 | 2020 |
Assessing the extent and types of hate speech in fringe communities: A case study of alt-right communities on 8chan, 4chan, and Reddit D Rieger, AS Kümpel, M Wich, T Kiening, G Groh Social Media+ Society 7 (4), 20563051211052906, 2021 | 84 | 2021 |
Impact of politically biased data on hate speech classification M Wich, J Bauer, G Groh Proceedings of the fourth workshop on online abuse and harms, 54-64, 2020 | 55 | 2020 |
Creating and comparing dictionary, word embedding, and transformer-based models to measure discrete emotions in German political text T Widmann, M Wich Political Analysis 31 (4), 626-641, 2023 | 48 | 2023 |
Understanding and interpreting the impact of user context in hate speech detection E Mosca, M Wich, G Groh Proceedings of the Ninth International Workshop on Natural Language …, 2021 | 39 | 2021 |
Investigating annotator bias with a graph-based approach M Wich, H Al Kuwatly, G Groh Proceedings of the fourth workshop on online abuse and harms, 191-199, 2020 | 38 | 2020 |
Enhanced human-computer interaction for business applications on mobile devices: a design-oriented development of a usability evaluation questionnaire M Wich, T Kramer 2015 48th Hawaii International Conference on System Sciences, 472-481, 2015 | 24 | 2015 |
Enrichment of smart home services by integrating social network services and big data analytics M Wich, T Kramer 2016 49th Hawaii International Conference on System Sciences (HICSS), 425-434, 2016 | 13 | 2016 |
Introducing an abusive language classification framework for telegram to investigate the german hater community M Wich, A Gorniak, T Eder, D Bartmann, BE Cakici, G Groh Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 12 | 2022 |
Bias and comparison framework for abusive language datasets M Wich, T Eder, H Al Kuwatly, G Groh AI and Ethics 2 (1), 79-101, 2022 | 10 | 2022 |
Explainable Abusive Language Classification Leveraging User and Network Data M Wich, E Mosca, A Gorniak, J Hingerl, G Groh The European Conference on Machine Learning and Principles and Practice of …, 2021 | 10 | 2021 |
Are your friends also haters? identification of hater networks on social media: data paper M Wich, M Breitinger, W Strathern, M Naimarevic, G Groh, J Pfeffer Companion Proceedings of the Web Conference 2021, 481-485, 2021 | 9 | 2021 |
German abusive language dataset with focus on COVID-19 M Wich, S Räther, G Groh Proceedings of the 17th Conference on Natural Language Processing (KONVENS …, 2021 | 8 | 2021 |
Investigating annotator bias in abusive language datasets M Wich, C Widmer, G Hagerer, G Groh Proceedings of the International Conference on Recent Advances in Natural …, 2021 | 7 | 2021 |
End-to-end annotator bias approximation on crowdsourced single-label sentiment analysis GJ Hagerer, D Szabo, A Koch, MLR Dominguez, C Widmer, M Wich, ... arXiv preprint arXiv:2111.02326, 2021 | 5 | 2021 |
Mediale Hasssprache und technologische Entscheidbarkeit: Zur ethischen Bedeutung subjektiv-perzeptiver Datenannotationen in der Hate Speech Detection L Lerch, M Wich, T Eder, G Groh Medien–Demokratie–Bildung: Normative Vermittlungsprozesse und Diversität in …, 2022 | 1 | 2022 |
Addressing Weak Points of Abusive Language Detection on Social Media MJ Wich Technische Universität München, 2022 | | 2022 |