@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://aclanthology.org/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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Multi-Dimensional Insights: Annotated Dataset of Stance, Sentiment, and Emotion in Facebook Comments on Tunisia’s July 25 Measures
%A Laabar, Sanaa
%A Zaghouani, Wajdi
%Y Afli, Haithem
%Y Bouamor, Houda
%Y Casagran, Cristina Blasi
%Y Ghannay, Sahar
%S Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F laabar-zaghouani-2024-multi
%X 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.
%U https://aclanthology.org/2024.politicalnlp-1.3
%P 22-32
Markdown (Informal)
[Multi-Dimensional Insights: Annotated Dataset of Stance, Sentiment, and Emotion in Facebook Comments on Tunisia’s July 25 Measures](https://aclanthology.org/2024.politicalnlp-1.3) (Laabar & Zaghouani, PoliticalNLP-WS 2024)
ACL