theISMAproject/credits.html at main · theismaproject/theISMAproject · GitHub

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  <div class="body"><div class="header">Credits
</div><div class="acknow"><p class="acknowledgement">We'd like to thank the following previous studies for making this project possible:
</p><p class="acknowledgement">Khan, Heena. “Language Agnostic Model: Detecting Islamophobic Content on Social Media.” JEWLScholar@MTSU, Middle Tennessee State University, 14 April 2021, https://jewlscholar.mtsu.edu/items/9c7d6ec2-661a-40b7-a945-f63280529844.
</p><p class="acknowledgement">Vidgen, Bertie, and Taha Yasseri. “Detecting Weak and Strong Islamophobic Hate Speech on Social Media,” in <i>Journal of Information Technology &amp; Politics</i>, vol. 17, no. 1, 2019, pp. 66–78., doi: 10.1080/19331681.2019.1702607.
</p><p class="acknowledgement">Vidgen, Bertie, et al. “Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection,” in <i>Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)</i>, 2021, doi: 10.18653/v1/2021.acl-long.132.
</p><p class="acknowledgement">Y.-L. Chung, E. Kuzmenko, S. S. Tekiroglu, and M. Guerini, “CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech,” in <i>Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics</i>, Jul. 2019, pp. 2819–2829. doi: 10.18653/v1/P19-1271.

</p><p class="acknowledgement">Z. Waseem and D. Hovy, “Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter,” in <i>Proceedings of the NAACL Student Research Workshop</i>, Jun. 2016, pp. 88–93. [Online]. Available: http://www.aclweb.org/anthology/N16-2013


</p><p class="acknowledgement">In addition, the following sources provided data and used in our project:
</p><p class="acknowledgement"><a href="https://twitter.com">Twitter</a>, <a href="https://parler.adatascienti.st/">Parler via aDataScienti.st</a>, <a href="https://towardsdatascience.com/fastai-with-transformers-bert-roberta-xlnet-xlm-distilbert-4f41ee18ecb2">Maximilien Roberti
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