In Freshers Pakkam

Wikipedia, the go-to source for quick online information, relies heavily on references to maintain the quality and reliability of its content. However, not all references are accurate, leading to broken links, incorrect data, and unreliable sources. Now, a study published in Nature Machine Intelligence suggests that artificial intelligence (AI) can help clean up Wikipedia’s reference lists, making its entries more trustworthy.

Researchers at Samaya AI in London developed a neural-network-powered system called SIDE to improve Wikipedia references. SIDE analyzes whether the references back up the claims in Wikipedia articles and suggests better alternatives for those that fall short.

This AI tool uses a training dataset of high-quality references from featured Wikipedia articles. It can identify claims with poor-quality references and search the internet for reputable sources. When tested, SIDE provided better references for nearly 50% of cases, and Wikipedia users found the AI’s suggestions helpful.

While this AI tool has the potential to save time for Wikipedia editors and moderators, its effectiveness depends on how it’s implemented. Some users preferred neither the AI-suggested references nor the existing ones, indicating they might still search for better citations online.

Despite these challenges, AI is proving valuable in enhancing the quality of Wikipedia’s content, which benefits millions of users worldwide. This development highlights the broader applications of AI beyond chatbots and underlines its potential to improve the reliability of information on the internet.

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