TY - GEN
T1 - Multi-Dimensional Insights
T2 - 2nd Workshop on Natural Language Processing for Political Sciences, PoliticalNLP 2024
AU - Laabar, Sanaa
AU - Zaghouani, Wajdi
N1 - Publisher Copyright:
© 2024 ELRA Language Resource Association.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Data Annotation
KW - Digital Humanities
KW - Hate Speech
KW - Sentiment Analysis
UR - http://www.scopus.com/inward/record.url?scp=85195138626&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85195138626
T3 - 2nd Workshop on Natural Language Processing for Political Sciences, PoliticalNLP 2024 at LREC-COLING 2024- Proceedings
SP - 22
EP - 32
BT - 2nd Workshop on Natural Language Processing for Political Sciences, PoliticalNLP 2024 at LREC-COLING 2024- Proceedings
A2 - Afli, Haithem
A2 - Bouamor, Houda
A2 - Casagran, Cristina Blasi
A2 - Ghannay, Sahar
PB - European Language Resources Association (ELRA)
Y2 - 21 May 2024
ER -