ToxLex_bn: A curated dataset of bangla toxic language derived from Facebook comment

Rashid, Mohammad Mamun Or

doi:10.1016/j.dib.2022.108416

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Cited by 4 publications

(1 citation statement)

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“…1 (c)). Rashid's [8] dataset on Bangla toxic language helped us to a certain extent in determining the valences of reactions.

Fig.…”

Section: Data Descriptionmentioning

confidence: 99%

A dataset on social media users’ engagement with religious misinformation

Al-Zaman

Noman

2023

Data in Brief

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“…1 (c)). Rashid's [8] dataset on Bangla toxic language helped us to a certain extent in determining the valences of reactions.

Fig.…”

Section: Data Descriptionmentioning

confidence: 99%

A dataset on social media users’ engagement with religious misinformation

Al-Zaman

Noman

2023

Data in Brief

View full text Add to dashboard Cite

Detecting Derogatory Comments on Women using Transformer-Based Models

Prithila,

Tonima,

Oishi

et al. 2023

2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)

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The role of political hate speech in promoting extreme ideologies and manipulating public discourse for social approval in Pakistan

Rafi,

Shafiq

2024

Int Social Sci J

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The proliferation of politically motivated hate speech towards rival politicians has been rapidly increasing in Pakistan. However, the literature on political hate speech and its association with extreme ideologies is under‐theorized in the Pakistani context. We have utilized van Dijk's manipulative discourse and Walther's social approval theory to structure political hate speech and its consequences. The data was based on two Pakistani mainstream politicians’ public speeches and partisans’ comments available on YouTube. Findings reveal that politicians commonly exploit discursive categories, such as name‐calling, offensive metaphors and sarcasm, in their hate speech to dehumanize, ridicule and threaten their rivals. Their hateful slurs showcase extreme ideologies, such as polarization, intolerance, threat and violence. They use the hateful epithets to manipulate partisans, to sell fear of being betrayed and enslaved to the military and foreign powers, and to obtain, in exchange, audience and consent. The study theorizes that Pakistani mainstream politicians deliberately sensationalize hatred in their public speeches to harangue their rivals and foment extreme ideologies for the purpose of increasing their audience.

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ToxLex_bn: A curated dataset of bangla toxic language derived from Facebook comment

Cited by 4 publications

References 24 publications

A dataset on social media users’ engagement with religious misinformation

A dataset on social media users’ engagement with religious misinformation

Detecting Derogatory Comments on Women using Transformer-Based Models

The role of political hate speech in promoting extreme ideologies and manipulating public discourse for social approval in Pakistan

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