@inproceedings{laabar-zaghouani-2024-multi,
    title = "Multi-Dimensional Insights: Annotated Dataset of Stance, Sentiment, and Emotion in {F}acebook Comments on {T}unisia{'}s {J}uly 25 Measures",
    author = "Laabar, Sanaa  and
      Zaghouani, Wajdi",
    editor = "Afli, Haithem  and
      Bouamor, Houda  and
      Casagran, Cristina Blasi  and
      Ghannay, Sahar",
    booktitle = "Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.politicalnlp-1.3/",
    pages = "22--32",
    abstract = "On July 25, 2021, Tunisian President Kais Saied announced the suspension of parliament and dismissal of Prime Minister Hichem Mechichi, a move that sparked intense public debate. This study investigates Tunisian public opinion regarding these events by analyzing a corpus of 7,535 Facebook comments collected from the official Tunisian presidency page, specifically the post announcing the July 25 measures. A team of three annotators labeled a subset of 5,000 comments, categorizing each comment{'}s political stance (supportive, opposing, or neutral), sentiment (positive, negative, or neutral), emotions, presence of hate speech, aggressive tone, and racism. The inter-annotator agreement, measured by Cohen{'}s kappa, was 0.61, indicating substantial consensus. The analysis reveals that a majority of commenters supported President Saied{'}s actions, outnumbering those who opposed or took a neutral stance. Moreover, the overall sentiment expressed in the comments was predominantly positive. This study provides valuable insights into the complex landscape of public opinion in Tunisia during a crucial moment in the country{'}s ongoing political transformation, highlighting the role of social media as a platform for political discourse and engagement."
}