MetaHate: AI‐based hate speech detection for secured online gaming in metaverse using blockchain

• Published in: Security and privacy 2024-03, Vol.7 (2), p.n/a
• Main Authors: Sanghvi, Harshil, Bhavsar, Rushir, Hundlani, Vini, Gohil, Lata, Vyas, Tarjni, Nair, Anuja, Desai, Shivani, Jadav, Nilesh Kumar, Tanwar, Sudeep, Sharma, Ravi, Yamsani, Nagendar
• Format: Article
• Language: English
• Subjects: blockchain; hate speech detection; machine learning; metaverse; natural language processing; Web 3.0
• ISSN: 2475-6725; 2475-6725
• DOI: 10.1002/spy2.343

The emergence of Web 3.0, blockchain technology (BC), and artificial intelligence (AI) are transforming multiplayer online gaming in the metaverse. This development has its concerns about safety and inclusivity. Hate speech, in particular, poses a significant threat to the harmony of these online communities. Traditional moderation methods struggle to cope with the immense volume of user‐generated content, necessitating innovative solutions. This article proposes a novel framework, MetaHate, that employs AI and BC to detect and combat hate speech in online gaming environments within the metaverse. Various machine learning (ML) models are applied to analyze Hindi–English code mixed datasets, with gradient boosting proving the most effective, achieving 86.01% accuracy. AI algorithms are instrumental in identifying harmful language patterns, while BC technology ensures transparency and user accountability. Moreover, a BC‐based smart contract is proposed to support the moderation of hate speech in the game chat. Integrating AI and BC can significantly enhance the safety and inclusivity of the metaverse, underscoring the importance of these technologies in the ongoing battle against hate speech and in bolstering user engagement. This research emphasizes the potential of AI and BC synergy in creating a safer metaverse, highlighting the need for continuous refinement and deployment of these technologies.