This image showsAkram Sadat Hosseini

Akram Sadat Hosseini

Dr. rer. nat.

Researcher
KI
Analytic Computing

Contact

Publications:
  1. 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.
  2. 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.
  3. 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
  4. 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.
  5. 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
  6. 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
  7. 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
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