DamascusTeam at NLP4IF2021: Fighting the Arabic COVID-19 Infodemic on Twitter Using AraBERT
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2021
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| _version_ | 1866901149357965312 |
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| author | Ahmad Hussein Nada Ghneim Ammar Joukhadar |
| author_facet | Ahmad Hussein Nada Ghneim Ammar Joukhadar |
| contents | <strong>Abstract:</strong><br>In the modern era of computing, the news ecosystem has transformed from old traditional print media to social media outlets. Social media platforms allow us to consume news much faster, with less restricted editing results in the spread of infodemic misinformation at an incredible pace and scale.<br><br>This work was originally published in: Proceedings of the 4th NLP4IF Workshop on NLP for Internet Freedom, Volume nan, Issue nan, Pages 93-98, 2021.<br>This version is archived in the Arab International University (AIU) repository for open access and dissemination purposes.<br>The content of this paper has not been modified from the original publication.<br>For more information, please visit the official repository of Arab International University (AIU): <a href="https://www.aiu.edu.sy">https://www.aiu.edu.sy</a> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19687255 |
| institution | Zenodo |
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| publishDate | 2021 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | DamascusTeam at NLP4IF2021: Fighting the Arabic COVID-19 Infodemic on Twitter Using AraBERT Ahmad Hussein Nada Ghneim Ammar Joukhadar COVID-19 Infodemic AraBERT Arabic <strong>Abstract:</strong><br>In the modern era of computing, the news ecosystem has transformed from old traditional print media to social media outlets. Social media platforms allow us to consume news much faster, with less restricted editing results in the spread of infodemic misinformation at an incredible pace and scale.<br><br>This work was originally published in: Proceedings of the 4th NLP4IF Workshop on NLP for Internet Freedom, Volume nan, Issue nan, Pages 93-98, 2021.<br>This version is archived in the Arab International University (AIU) repository for open access and dissemination purposes.<br>The content of this paper has not been modified from the original publication.<br>For more information, please visit the official repository of Arab International University (AIU): <a href="https://www.aiu.edu.sy">https://www.aiu.edu.sy</a> |
| title | DamascusTeam at NLP4IF2021: Fighting the Arabic COVID-19 Infodemic on Twitter Using AraBERT |
| topic | COVID-19 Infodemic AraBERT Arabic |
| url | https://doi.org/10.5281/zenodo.19687255 |