TRUSTNET TO SEPARATE TRUTH FROM LIES

MIT presented a browser expansion of TRUSTNET, which allows users to determine misinformation on any website. The tool empowers users to identify misinformation and engage with content appraisal from trusted sources, fostering critical thinking.

While many solutions suggest social networks should moderate content to curb misinformation, this approach places significant social responsibility in the hands of commercial entities, restricting users’ ability to choose who they trust.

MIT scientists have introduced an alternative approach by developing a browser extension that enables users to flag misinformation and select trusted content appraisers. Trustnet’s decentralized model allows users to determine what qualifies as misinformation, rather than relying on a central authority. The universal extension is compatible with all types of content across various websites, including social media posts, news articles, and videos on streaming platforms.

For instance, Trustnet clearly distinguishes between disinformation and credible content through specific markers.

In an era fraught with deceptive information that appears credible, the best defense is to rely on data verified by reputable sources. Study participants expressed how evaluating content and viewing ratings from trusted proxies encouraged them to approach information critically.

By clicking a button to assess content, users activate a side panel where they can label the content as “accurate,” “inaccurate,” or questionable. Users can also specify which appraisers they trust for evaluations and view these ratings when browsing websites.

During a two-week study, 32 participants evaluated two types of content daily. Researchers were surprised to find that users assessed a variety of content, including home improvement tips and celebrity news, unlike professionals who tended to focus on news articles. Users also expressed a preference for assessments from non-experts, such as doctors or immigrants.

However, users may exist within information bubbles, only trusting individuals who share their perspectives. Researchers propose addressing this issue by providing a structured list of trusted appraisers, like the FDA.

Looking ahead, experts aim to further explore structured trust relationships and expand efforts to combat misinformation. They also plan to utilize the extension for content filtering that aligns with specific ethical standards.

/Reports, release notes, official announcements.