Sanaa Laabar


2024

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Multi-Dimensional Insights: Annotated Dataset of Stance, Sentiment, and Emotion in Facebook Comments on Tunisia’s July 25 Measures
Sanaa Laabar | Wajdi Zaghouani
Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024

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.