Papers by Matti Wiegmann
The Two Paradigms of LLM Detection: Authorship Attribution vs Authorship Verification (2025.findings-acl)
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| Challenge: | Existing methods for detecting texts generated by large language models are disputed . authors argue that there are limitations in the current technology . |
| Approach: | They propose to make LLM detectors robust against domain shifts and build benchmarks . they argue that the limitations lie elsewhere, and open the realm of authorship analysis technology . |
| Outcome: | The proposed method systematically analyzes the benchmarks and validates it using state-of-the-art detectors. |
Argumentation and Domain Discourse in Scholarly Articles on the Theory of International Relations (2025.coling-main)
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Magdalena Wolska, Sassan Gholiagha, Mitja Sienknecht, Dora Kiesel, Irene Lopez Garcia, Patrick Riehmann, Matti Wiegmann, Bernd Froehlich, Katrin Girgensohn, Jürgen Neyer, Benno Stein
| Challenge: | SKILL project aims to provide students with AI tools to facilitate analysis of argumentation in scholarly articles on international relations. |
| Approach: | They propose to use AI to analyze argumentation in scholarly articles on international relations . they use a dataset, discourse analysis, and baseline experiments to examine argumentation and domain content types . |
| Outcome: | The proposed method enables educationally-relevant insight into scholarly IR discourse . it requires domain-specific training and fine-tuning on relation and content type prediction tasks. |
Trigger Warning Assignment as a Multi-Label Document Classification Problem (2023.acl-long)
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| Challenge: | a trigger warning is used to warn people about potentially disturbing content . a webis dataset of 1 million fanfiction works contains up to 36 different warnings per document . |
| Approach: | They introduce a multi-label task to assign a trigger warning to fanfiction . they map 41 million free-form tags assigned by authors into a single taxonomy of trigger warnings . |
| Outcome: | The proposed model achieves micro-F1 scores of about 0.5, which reveals the difficulty of the task. |
Celebrity Profiling (P19-1)
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| Challenge: | Using a corpus of 71,706 verified accounts, we construct a profile of a wide cross-section of local and global celebrities. |
| Approach: | They propose to use Twitter feeds of 71,706 verified accounts to build a corpus of celebrity profiles using Wikidata crawling. |
| Outcome: | The proposed corpus contains an average of 29,968 words per profile and up to 239 pieces of personal information. |
Trigger Warnings: Bootstrapping a Violence Detector for Fan Fiction (2023.findings-emnlp)
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| Challenge: | Existing guidelines for proactively alerting readers of potentially disturbing content have been proposed. |
| Approach: | They propose to use a labeled corpus of narrative fiction from a popular fan fiction site to determine whether to assign a trigger warning to an English story. |
| Outcome: | The proposed task achieves F1 scores between 0.8 and 0.9 on three datasets . the authors show that assigning trigger warnings for violence is feasible . |
Crowdsourcing a Large Corpus of Clickbait on Twitter (C18-1)
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Martin Potthast, Tim Gollub, Kristof Komlossy, Sebastian Schuster, Matti Wiegmann, Erika Patricia Garces Fernandez, Matthias Hagen, Benno Stein
| Challenge: | Clickbait is a nuisance on social media. |
| Approach: | a corpus of 38,517 annotated Twitter tweets was constructed to detect clickbait . the corpus was annotating tweets on 4-point scale by five annotators at Amazon's Mechanical Turk . |
| Outcome: | The corpus of 38,517 annotated Twitter tweets was used to evaluate 12 clickbait detectors submitted to the Clickbait Challenge 2017 . |
Analyzing Persuasion Strategies of Debaters on Social Media (2022.coling-1)
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| Challenge: | Existing studies on the analysis of persuasion in online discussions focus on the effectiveness of comments in individual discussions and ignore the effectiveness analysis of debaters over multiple discussions. |
| Approach: | They propose to quantify debaters effectiveness in the online discussion platform "ChangeMyView" they aim to explore diverse insights into their persuasion strategies . |
| Outcome: | The proposed analysis of debater effectiveness in the ChangeMyView subreddit reveals that debaters have different levels of effectiveness, behavioral characteristics and text stylistic features . |