M.Sc. Michael Wojatzki

Ph.D. Candidate
Mail: michael.wojatzki@uni-due.de
Tel: +49 (0)203 379-2876
Office: LE 410


Michael Wojatzki is a doctoral researcher at the Language Technology Lab and a member of the research training group User-Centred Social Media (http://www.ucsm.info) that focuses on interdisciplinary research from computer science and psychology on social media.
Michael holds a M.Sc. in Cognitive and Media Science from University of Duisburg-Essen and has worked for several companies in the information industry.
In his research, he concentrates on understanding and automatically analyzing social media debates. His focus here is on implicit and fragmentary debates.

Publications
13 results
2018
[13] Comparing Target Sets for Stance Detection: A Case Study on YouTube Comments on Death Penalty
and , In Proceedings of the Conference on Natural Language Processing (KONVENS), .

[bibtex] [pdf]
[12] Do Women Perceive Hate Differently: Examining the Relationship Between Hate Speech, Gender, and Agreement Judgments
, , and , In Proceedings of the Conference on Natural Language Processing (KONVENS), .

[bibtex] [pdf]
[11] Agree or Disagree: Predicting Judgments on Nuanced Assertions
, , and , In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics (*SEM), .

[bibtex] [pdf]
[10] Quantifying Qualitative Data for Understanding Controversial Issues
, , and , In Proceedings of the Language Resources and Evaluation Conference (LREC), .

[bibtex] [pdf]
2017
[9] Neural, Non-neural and Hybrid Stance Detection in Tweets on Catalan Independence
and , In Stance and Gender Detection in Tweets on Catalan Independence at Ibereval 2017, volume 2, .

[bibtex] [pdf]
[8] What does this imply? Examining the Impact of Implicitness on the Perception of Hate Speech
, and , In Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology (GSCL-2017), .

[bibtex] [pdf]
[7] GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
, , , and , In Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, .

[bibtex] [pdf]
2016
[6] Stance-based Argument Mining – Modeling Implicit Argumentation Using Stance
and , In Proceedings of the KONVENS, .

[bibtex] [pdf]
[5] Validating Bundled Gap Filling – Empirical Evidence for Ambiguity Reduction and Language Proficiency Testing Capabilities
, and , In Proceedings of the NLP4CALL at SLTC 2016, .

[bibtex] [pdf]
[4] Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
, , , , and , In Proceedings of NLP4CMC III: 3rd Workshop on Natural Language Processing for Computer-Mediated Communication (Michael Beißwenger, Michael Wojatzki, Torsten Zesch, eds.), .

[bibtex] [pdf]
[3] ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers
and , In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), ACL, volume 10, .

[bibtex] [pdf]
[2] Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises.
, and , In Proceedings of the Building Educational Applications Workshop at NAACL, ACL, volume 11, .

[bibtex] [pdf]
2015
[1] Task-Independent Features for Automated Essay Grading
, and , In Proceedings of the Building Educational Applications Workshop at NAACL, .

[bibtex] [pdf]