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Maximilian Wich
Maximilian Wich
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Title
Cited by
Cited by
Year
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
982020
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
842021
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
552020
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
482023
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
392021
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
382020
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
242015
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
132016
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
122022
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
102022
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
102021
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
92021
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
82021
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
72021
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
52021
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
12022
Addressing Weak Points of Abusive Language Detection on Social Media
MJ Wich
Technische Universität München, 2022
2022
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