title: The FIGNEWS Shared Task on News Media Narratives
summary: We present an overview of the FIGNEWS shared task, organized as part of the
  ArabicNLP 2024 conference co-located with ACL 2024. The shared task addresses
  bias and propaganda annotation in multilingual news posts. We focus on the
  early days of the Israel War on Gaza as a case study. The task aims to foster
  collaboration in developing annotation guidelines for subjective tasks by
  creating frameworks for analyzing diverse narratives highlighting potential
  bias and propaganda. In a spirit of fostering and encouraging diversity, we
  address the problem from a multilingual perspective, namely within five
  languages: English, French, Arabic, Hebrew, and Hindi. A total of 17 teams
  participated in two annotation subtasks: bias (16 teams) and propaganda (6
  teams). The teams competed in four evaluation tracks: guidelines development,
  annotation quality, annotation quantity, and consistency. Collectively, the
  teams produced 129,800 data points. Key findings and implications for the field
  are discussed.
paper_authors._id: 66a4121d9ba24c3040463225
paper_authors.name: Wajdi Zaghouani
paper_authors._id: 66a4121d9ba24c3040463226
paper_authors.name: Mustafa Jarrar
paper_authors.status: extracted_pending
paper_authors.statusLastChangedAt: 2024-07-26T21:16:14.762Z
paper_authors._id: 629a4bc1f1f2a097fcade836
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1654279003971-noauth.png
paper_authors.fullname: Mustafa Jarrar
paper_authors.type: user
paper_authors.user: mjarrar
paper_authors._id: 66a4121d9ba24c3040463227
paper_authors.name: Nizar Habash
paper_authors.status: extracted_confirmed
paper_authors.statusLastChangedAt: 2024-08-05T07:19:27.508Z
paper_authors._id: 6037a9dd4de52ff951d89798
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1614261145460-6037a9dd4de52ff951d89798.jpeg
paper_authors.fullname: Nizar Habash
paper_authors.type: user
paper_authors.user: nizarhabash
paper_authors._id: 66a4121d9ba24c3040463228
paper_authors.name: Houda Bouamor
paper_authors._id: 66a4121d9ba24c3040463229
paper_authors.name: Imed Zitouni
paper_authors._id: 66a4121d9ba24c304046322a
paper_authors.name: Mona Diab
paper_authors._id: 66a4121d9ba24c304046322b
paper_authors.name: Samhaa R. El-Beltagy
paper_authors._id: 66a4121d9ba24c304046322c
paper_authors.name: Muhammed AbuOdeh
paper_title: The FIGNEWS Shared Task on News Media Narratives
paper_summary: We present an overview of the FIGNEWS shared task, organized as part of the
  ArabicNLP 2024 conference co-located with ACL 2024. The shared task addresses
  bias and propaganda annotation in multilingual news posts. We focus on the
  early days of the Israel War on Gaza as a case study. The task aims to foster
  collaboration in developing annotation guidelines for subjective tasks by
  creating frameworks for analyzing diverse narratives highlighting potential
  bias and propaganda. In a spirit of fostering and encouraging diversity, we
  address the problem from a multilingual perspective, namely within five
  languages: English, French, Arabic, Hebrew, and Hindi. A total of 17 teams
  participated in two annotation subtasks: bias (16 teams) and propaganda (6
  teams). The teams competed in four evaluation tracks: guidelines development,
  annotation quality, annotation quantity, and consistency. Collectively, the
  teams produced 129,800 data points. Key findings and implications for the field
  are discussed.