Mr Dimos Antypas
Teams and roles for Dimos Antypas
Research Assistant
Research student
Publication
2025
- Contreras, D. et al. 2025. Post-disaster recovery assessment using sentiment analysis of English-language tweets: a tenth-anniversary case study of the 2010 Haiti earthquake. Sustainability 17 (11) 4967. (10.3390/su17114967)
2024
- Antypas, D. et al. 2024. Words as trigger points in social media discussions. [Online].arXiv. (10.48550/arXiv.2405.10213)Available at: https://doi.org/10.48550/arXiv.2405.10213.
- Antypas, D. , Preece, A. and Camacho Collados, J. 2024. A multi-faceted NLP analysis of misinformation spreaders in Twitter. Presented at: 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis Bangkok, Thailand 15 August 2024. Published in: De Clercq, O. et al., Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Association for Computational Linguistics. , pp.71-83.
- Antypas, D. et al. 2024. Sensitive content classification in social media: A holistic resource and evaluation. [Online].arXiv. (10.48550/arXiv.2411.19832)Available at: https://doi.org/10.48550/arXiv.2411.19832.
- Myung, J. et al., 2024. BLEND: A benchmark for LLMs on everyday knowledge in diverse cultures and languages. Presented at: 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks Vancouver, BC, Canada 9-15 December 2024. Published in: Globerson, A. et al., NeurIPS Proceedings: Advances in Neural Information Processing Systems. Vol. 37.Curran Associates, Inc.. , pp.78104-78146.
2023
- Antypas, D. , Preece, A. and Camacho Collados, J. 2023. Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Social Media and Networks 33 100242. (10.1016/j.osnem.2023.100242)
- Owen, D. et al. 2023. Enabling early health care intervention by detecting depression in users of web-based forums using Language models: longitudinal analysis and evaluation. JMIR AI 2 e41205. (10.2196/41205)
2022
- Antypas, D. et al. 2022. Twitter Topic Classification. Proceedings of the 29th International Conference on Computational Linguistics
2020
- Tuxworth, D. et al. 2020. Deriving disinformation insights from geolocalized Twitter callouts. Presented at: Workshop On Deriving Insights From User-Generated Text @KDD2021 14 -18 August 2021.
Articles
- Antypas, D. , Preece, A. and Camacho Collados, J. 2023. Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Social Media and Networks 33 100242. (10.1016/j.osnem.2023.100242)
- Antypas, D. et al. 2022. Twitter Topic Classification. Proceedings of the 29th International Conference on Computational Linguistics
- Contreras, D. et al. 2025. Post-disaster recovery assessment using sentiment analysis of English-language tweets: a tenth-anniversary case study of the 2010 Haiti earthquake. Sustainability 17 (11) 4967. (10.3390/su17114967)
- Owen, D. et al. 2023. Enabling early health care intervention by detecting depression in users of web-based forums using Language models: longitudinal analysis and evaluation. JMIR AI 2 e41205. (10.2196/41205)
Conferences
- Antypas, D. , Preece, A. and Camacho Collados, J. 2024. A multi-faceted NLP analysis of misinformation spreaders in Twitter. Presented at: 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis Bangkok, Thailand 15 August 2024. Published in: De Clercq, O. et al., Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Association for Computational Linguistics. , pp.71-83.
- Myung, J. et al., 2024. BLEND: A benchmark for LLMs on everyday knowledge in diverse cultures and languages. Presented at: 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks Vancouver, BC, Canada 9-15 December 2024. Published in: Globerson, A. et al., NeurIPS Proceedings: Advances in Neural Information Processing Systems. Vol. 37.Curran Associates, Inc.. , pp.78104-78146.
- Tuxworth, D. et al. 2020. Deriving disinformation insights from geolocalized Twitter callouts. Presented at: Workshop On Deriving Insights From User-Generated Text @KDD2021 14 -18 August 2021.
Websites
- Antypas, D. et al. 2024. Words as trigger points in social media discussions. [Online].arXiv. (10.48550/arXiv.2405.10213)Available at: https://doi.org/10.48550/arXiv.2405.10213.
- Antypas, D. et al. 2024. Sensitive content classification in social media: A holistic resource and evaluation. [Online].arXiv. (10.48550/arXiv.2411.19832)Available at: https://doi.org/10.48550/arXiv.2411.19832.