12 hasil untuk "Ehtesham Hashmi"
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Artikel Jurnal Teks lengkap
Ethical and Socially Aware English–Norwegian Hate Speech Detection: A Systematic Design Framework
The rapid growth of social media has intensified the spread of hate speech targeting individuals based on race, gender, religion, and sexual orientation, creating significant technical, social, and ethical challenges. To address this, we propose a comprehensive English–Norwegian framework that…
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Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers
Abstract The growth of social networks has provided a platform for individuals with prejudiced views, allowing them to spread hate speech and target others based on their gender, ethnicity, religion, or sexual orientation. While positive interactions within diverse communities can considerably…
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Metalinguist: enhancing hate speech detection with cross-lingual meta-learning
Abstract The rise of social media has led to an increase in hate speech. Hate speech is generally described as a deliberate act of aggression aimed at a particular group, intended to harm or marginalize them based on specific attributes of their identity. While positive interactions in diverse…
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A Design Science Approach to Bridging Operational Cyber Detection and Strategic Crisis Management
Cyber threats are increasing in scale and complexity in an increasingly interconnected world, as reflected by several high-profile incidents in recent years. Such crises often require organizations to make difficult decisions under time pressure while balancing competing priorities, uncertainty…
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Applications of LLMs for Generating Cyber Security Exercise Scenarios
This study proposes a novel approach leveraging Large Language Models (LLMs) to generate dynamic and complex adaptable cybersecurity exercise scenarios. Motivated by Turing’s seminal exploration into machine cognition, which questions the ability of machines to mimic human thought and intelligence…
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Artikel Jurnal Teks lengkap
BI-SENT: bilingual aspect-based sentiment analysis of COVID-19 Tweets in Urdu language
The COVID-19 pandemic resulted in over 600 million cases worldwide, and significantly impacted both physical and mental health, fostering widespread anxiety and fear. Consequently, the extensive use of online social networks to express emotions made sentiment analysis a crucial tool for…
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Artikel Jurnal
Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers
Abstract Gendered disinformation undermines women’s rights, democratic principles, and national security by worsening societal divisions through authoritarian regimes’ intentional weaponization of social media. Online misogyny represents a harmful societal issue, threatening to transform digital…
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Artikel Jurnal
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
The widespread propagation of misinformation on social media platforms poses a significant concern, prompting substantial endeavors within the research community to develop robust detection solutions. Individuals often place unwavering trust in social networks, often without discerning the origins…
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Artikel Jurnal
Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration
The rise of social media has enabled individuals with biased perspectives to spread hate speech, directing it toward individuals based on characteristics such as race, gender, religion, or sexual orientation. Constructive interactions in varied communities can greatly enhance self-esteem, yet it is…