AI-Driven Disinformation Detection and State-Backed Verification: A Roskomnadzor Study

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Roskomnadzor is exploring how artificial intelligence could help protect information space by automatically identifying disinformation online. socialbites.ca reports on a study conducted by Roskomnadzor and the Main Radio Frequency Center (GRFC), in partnership with the Mindsmith analytical center and Rostelecom. A copy of the study is available to editors for review. (attribution: Mindsmith)

The research outlines twelve technology families aligned with the interests of Roskomnadzor and other specialized bodies. These groups cover AI-driven detection of deepfakes, contextual interpretation of video content, automated monitoring and moderation, facial recognition, text inference, fact checking, symbol recognition, metadata extraction and analysis, emotion recognition, defense against information attacks, and various tools for content creation and recommendation. All of these technologies are positioned as capable of automatically spotting false information on the internet. (attribution: Mindsmith)

Officials described the disinformation challenge as a top national priority. The study notes that effective countermeasures will increasingly involve AI-enabled systems, and that human oversight will likely evolve alongside automation to uphold accuracy and safety in public communications. (attribution: Mindsmith)

Researchers project that neural networks could verify facts in real time within a few years. The practical deployment window is estimated at three to five years, after which AI-verified news might receive clear labeling on major platforms. The study suggests this labeling could help users distinguish reliable reporting from misinformation at a glance. (attribution: Mindsmith)

In their analysis, the team examined more than 3,000 thematic concepts, inventions, prototypes, and commercial solutions from around the world. Of these, 195 entries were selected for in-depth analysis, organization, and explanation to help clarify how future AI-assisted verification might work in practice. (attribution: Mindsmith)

Earlier reports from socialbites.ca noted a public interest in a Russian-language counterpart to ChatGPT, reflecting ongoing curiosity about how advanced AI language models will evolve in regional contexts. (attribution: Mindsmith)

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