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<h2><ahref="/publication/rizwan2025hateprismpoliciesplatformsresearch/">HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation</a></h2>
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Despite regulations imposed by nations and social media platforms, e.g. (Government of India, 2021; European Parliament and Council of the European Union, 2022), inter alia, hateful content persists as a significant challenge. Existing approaches ...
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<h2><ahref="/publication/rizwan2025exploringlimitszeroshot/">Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations</a></h2>
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There is a rapid increase in the use of multimedia content in current social media platforms. One of the highly popular forms of such multimedia content are memes. While memes have been primarily invented to promote funny and buoyant ...
In the previous sections, the authors first explored how machine learning can be used to detect hate speech and later aimed to make the detection more explainable. This makes the moderation system is more reliable. In this section, the authors ...
This chapter will discuss the techniques developed over time for hate speech detection. We will explore how hate speech detection techniques have evolved, ranging from keyword-based methods and machine learning techniques to deep learning ...
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<h2><ahref="/publication/rizwan2025dynamicstoxicitypoliticalpodcasts/">Dynamics of Toxicity in Political Podcasts</a></h2>
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Toxicity in digital media poses significant challenges, yet little attention has been given to its dynamics within the rapidly growing medium of podcasts. This paper addresses this gap by analyzing political podcast data to study the emergence ...
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<h2><ahref="/publication/dementieva2024multilingualexplainabletextdetoxification/">Multilingual and Explainable Text Detoxification with Parallel Corpora</a></h2>
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Even with various regulations in place across countries and social media platforms (Government of India, 2021; European Parliament and Council of the European Union, 2022, digital abusive speech remains a significant issue. One potential ...
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<h2><ahref="/publication/saha2024crowdcounterbenchmarktypespecificmultitarget/">CrowdCounter: A benchmark type-specific multi-target counterspeech dataset</a></h2>
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Counterspeech presents a viable alternative to banning or suspending users for hate speech while upholding freedom of expression. However, writing effective counterspeech is challenging for moderators/users. Hence, developing suggestion tools ...
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<h2><ahref="/publication/saha2024zeroshotcounterspeechgenerationllms/">On Zero-Shot Counterspeech Generation by LLMs</a></h2>
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With the emergence of numerous Large Language Models (LLM), the usage of such models in various Natural Language Processing (NLP) applications is increasing extensively. Counterspeech generation is one such key task where efforts are made to develop ...
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