Christine de Kock

Co-authors

Recent publications

1. Yuan, A. Y., De Kock, C., & Leckie, C. (2026). Leveraging speech acts for low-data and cross-domain conversation derailment forecasting Preprint
2. Baes, N., Raszewski, L., Vylomova, E., Haslam, N., & De Kock, C. (2026). A multidimensional computational analysis of dehumanization in incel discourse ICWSM 2026
3. Kang, J., Conway, M., Haslam, N., & De Kock, C. (2026). Reshaping of mental health discourse on Reddit: The rise of neurodivergence ICWSM 2026
4. De Kock, C. (2026). Jointly modelling the evolution of social structure and language in online communities ICWSM 2026
5. De Kock, C., Riabi, A., Talat, Z., Schlichtkrull, M., Madhyastha, P., & Hovy, E. (2026). IYKYK: Using language models to decode extremist cryptolects EACL 2026
6. Pavón Pérez, Á., Farrell, T., De Kock, C., Jurasz, O., Nozza, D., & Fernández, M. (2026). Still unsafe: What's holding us back on online safety for women AI and Ethics
7. Ousidhoum, N., et al. (2026). SemEval-2026 Task 7: Everyday knowledge across diverse languages and cultures SemEval 2026
8. De Kock, C., & Hovy, E. (2026). Triggered: A statistical analysis of environmental influences on extremist groups Preprint
9. De Kock, C. (2025). Inducing lexicons of in-group language with socio-temporal context ACL 2025
10. Raszewski, L., & De Kock, C. (2025). Detecting sockpuppetry on Wikipedia using meta-learning ACL 2025
11. Muhammad, S. H., et al. (2025). BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 languages ACL 2025
12. Liu, Z., et al. (2025). RAEmoLLM: Retrieval augmented LLMs for cross-domain misinformation detection using in-context learning based on emotional information ACL 2025
13. Muhammad, S. H., et al. (2025). SemEval-2025 Task 11: Bridging the gap in text-based emotion detection SemEval 2025
14. Talat, Z., Schlichtkrull, M., Madhyastha, P., & De Kock, C. (2025). Pathways to radicalisation: On research for online radicalisation in natural language processing and machine learning Workshop for Online Abuse and Harms at ACL 2025
15. Vallejo, G., De Kock, C., Baldwin, T., & Frermann, L. (2025). Human interest framing across cultures: A case study on climate change COLING 2025
16. De Kock, C., & Hovy, E. (2024). Investigating radicalisation indicators in online extremist communities Workshop for Online Abuse and Harms at NAACL 2024
17. Ousidhoum, N., et al. (2024). SemEval-2024 Task 1: Semantic textual relatedness for African and Asian languages SemEval 2024
18. Ousidhoum, N., et al. (2024). SemRel2024: A collection of semantic textual relatedness datasets for 13 languages Findings of ACL 2024
19. De Kock, C., Stafford, T., & Vlachos, A. (2022). How to disagree well: Investigating the dispute tactics used on Wikipedia EMNLP 2022
20. De Kock, C., & Vlachos, A. (2022). Leveraging Wikipedia article evolution for promotional tone detection ACL 2022
21. De Kock, C., & Vlachos, A. (2021). Survival text regression for time-to-event prediction in conversations Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
22. De Kock, C., & Vlachos, A. (2021). I Beg to Differ: A study of constructive disagreement in online conversations EACL 2021

Datasets and resources

• Radicalisation indicators Manosphere forum data labelled for longevity, hostility and centrality, plus a white supremacist forum lexicon.
• LISTN Manosphere lexicons.
• WikiTactics Wikipedia Talk page disagreements annotated according to their dispute tactics.
• WikiEvolve Wikipedia article snapshots for promotional tone detection.
• WikiDisputes A dataset of disagreements on Wikipedia Talk pages.

Collaborative resources

• BRIGHTER Emotion-annotated datasets for 28 languages.
• SemEval-2026 Task 7 Everyday knowledge across diverse languages and cultures.
• SemEval-2025 Task 11 Text-based emotion detection.
• SemRel2024 Semantic textual relatedness datasets for 13 languages, used in SemEval-2024 Task 1.
• RAEmoLLM Code for retrieval-augmented cross-domain misinformation detection.

Students

I am not currently accepting new PhD students.

PhD students

• Gisela Vallejo (2023-2025), co-supervised with Lea Frermann and Tim Baldwin.
• Jemima Kang (2024-), co-supervised with Mike Conway and Nick Haslam.
• Xihan Zu (2025-), co-supervised with Mike Conway.
• Ne Luo (2025-), co-supervised with Lea Frermann and Feng Liu.
• Angela Yifei Yuan (2026-), co-supervised with Chris Leckie.
• Haoyi Li (2026-), co-supervised with Chris Leckie.
• Fatemeh Taherinezhad (2026-), co-supervised with Yulia Otmakhova and Tom Drummond.

Masters students

• Zeynep Güler (exchange student from Bocconi University, 2025-2026), co-supervised with Debora Nozza, Pranita Shrestha and Dirk Hovy.
• Luc Raszewski (2025).