Hijab row verdict in India: A sentimental analysis of user responses on Facebook

The hijab controversy, a hot topic in India since January 2022, emerged from a clash between students and college authorities in Karnataka, a state in India. The dispute made its way to Karnataka’s High Court, which, on 15 March 2022, ruled that the hijab was not mandatory for religious practices. This decision stirred widespread debates, especially on social media platforms like Facebook. This study is focused on user reactions in The Times of India Daily’s official Facebook page, employing sentiment analysis to decipher public emotions, attitudes, and opinions. Nearly 200 comments posted on the verdict day were analyzed, utilizing the routine activity theory (RAT), spiral of silence theory, and online disinhibition effect. The research introduced a unique model, RAT+A, to enhance analysis. As a significant platform for public discourse, Facebook played a crucial role in capturing diverse societal sentiments and reactions regarding this social issue.

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Publication Details

Journal
First Monday
Published
2025-02-05
DOI
https://doi.org/10.5210/fm.v30i2.13371
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Hijab row verdict in India: A sentimental analysis of user responses on Facebook

R. Raveendran, Nimmy Maria Joseph
First Monday
Hate Speech and Cyberbullying Detection
article

Hijab row verdict in India: A sentimental analysis of user responses on Facebook

R. Raveendran, Nimmy Maria Joseph
article en

Abstract

The hijab controversy, a hot topic in India since January 2022, emerged from a clash between students and college authorities in Karnataka, a state in India. The dispute made its way to Karnataka’s High Court, which, on 15 March 2022, ruled that the hijab was not mandatory for religious practices. This decision stirred widespread debates, especially on social media platforms like Facebook. This study is focused on user reactions in The Times of India Daily’s official Facebook page, employing sentiment analysis to decipher public emotions, attitudes, and opinions. Nearly 200 comments posted on the verdict day were analyzed, utilizing the routine activity theory (RAT), spiral of silence theory, and online disinhibition effect. The research introduced a unique model, RAT+A, to enhance analysis. As a significant platform for public discourse, Facebook played a crucial role in capturing diverse societal sentiments and reactions regarding this social issue.

First Monday
Jain University (IN), Christ University (IN)
Openalex Percentile: Top 99%
Hate Speech and Cyberbullying Detection
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