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Publications:
- A. S. Hosseini and S. Staab, “Disambiguating Emotional Connotations of Words Using Contextualized Word Representations,” in Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024), D. Bollegala and V. Shwartz, Eds., Association for Computational Linguistics, 2024, pp. 264–277.
- A. S. Hosseini and S. Staab, “Emotional Framing in the Spreading of False and True Claims,” in WebSci ’23: Proceedings of the 15th ACM Web Science Conference 2023, in Proceedings. Association for Computing Machinery, 2023, pp. 96–106. doi: 10.1145/3578503.3583611.
- O. Han, I. Baris, A. S. Hosseini, S. de Nigris, and S. Staab, “Democratic Policy-making for Misinformation Detection Platforms by Git-based Principles,” in Human Computer Interaction and Emerging Technologies: Adjunct Proceedings from the INTERACT 2019 Workshops, Cardiff University Press, 2020, pp. 67–74. [Online]. Available: http://www.jstor.org/stable/jj.19783659.11
- E. A. Kyza et al., “Combating misinformation online : re-imagining social media for policy-making,” Internet policy review, vol. 9, Art. no. 4, 2020, doi: 10.14763/2020.4.1514.
- E. A. Kyza et al., “Combating misinformation online: re-imagining social media for policy-making,” Internet Policy Review, 2020, [Online]. Available: https://www.econstor.eu/handle/10419/225651
- A. Mehta et al., “Does the First Mover Advantage Exist on GitHub?,” CoRR, vol. abs/2006.02193, 2020, [Online]. Available: https://arxiv.org/abs/2006.02193
- A. S. Hosseini, “Sentence-level emotion mining based on combination of adaptive Meta-level features and sentence syntactic features.,” Eng. Appl. of AI, vol. 65, pp. 361–374, 2017, [Online]. Available: http://dblp.uni-trier.de/db/journals/eaai/eaai65.html#Hosseini17