SOURCE: Cindy Harper via ReclaimThe Net<\/p>\n\n\n\n
The line between safety and surveillance keeps getting thinner.<\/p>\n\n\n\n
The World Health Organization has introduced a major overhaul of its global monitoring network, unveiling an AI-powered platform that tracks online conversations and media activity in real time.<\/p>\n\n\n\n
Known as Epidemic Intelligence from Open Sources 2.0 (EIOS), the system is being presented as a new step in \u201cpandemic preparedness,\u201d but its reach extends well beyond disease surveillance.<\/p>\n\n\n\n
The upgrade is part of a growing merger between health monitoring, digital tracking, and centralized information control.<\/p>\n\n\n\n
Developed with the European Commission\u2019s Joint Research Centre (JRC), the new version of EIOS<\/a> is designed to scan the internet for signals of emerging health threats.<\/p>\n\n\n\n According to the WHO, it now automatically analyzes social media posts, websites, and other public sources to detect possible outbreaks.<\/p>\n\n\n\n More: World Health Organization meets to discuss granting of increased surveillance powers under pandemic treaty<\/a><\/strong><\/p>\n\n\n\n While this is described as a tool for early warning, it effectively allows a global health authority to observe the world\u2019s digital conversations under the banner of safety.<\/p>\n\n\n\n The WHO\u2019s EIOS Collaboration page indicates that partners are also exploring projects such as \u201cNews Article Credibility Detection\u201d and \u201cMisinformation Classification Systems.\u201d<\/p>\n\n\n\n These initiatives suggest a growing interest in shaping how information is categorized and filtered.<\/p>\n\n\n\n The latter effort appears linked to the JRC\u2019s \u201cMisinfo Classifier,\u201d released in 2020, which the JRC described as an AI program that detects \u201cfake news\u201d by analyzing the tone and intensity of language in articles.<\/p>\n\n\n\n The organization claimed the tool achieved an 80% success rate and stated that \u201cthis is comparable to the state of the art right now.\u201d<\/p>\n\n\n\n At the time, the JRC said the classifier was already in use by the European Commission and European Parliament, and that it would soon be shared with professional fact-checking organizations.<\/p>\n\n\n\n The existence of that project highlights how data analysis and information control are being integrated into public health infrastructure.<\/p>\n\n\n\n The WHO reports that EIOS now operates in more than 110 countries and collaborates with over 30 organizations, including national governments and the European Commission. The platform is being offered \u201cfree of charge\u201d to eligible users, along with training materials and support.<\/p>\n\n\n\n This approach ties national monitoring systems directly into a WHO-managed network that continuously gathers and processes global data.<\/p>\n\n\n\n The WHO\u2019s concept of \u201csocial listening\u201d sheds more light on this strategy. It defines social listening as \u201cthe process of listening to and analyzing conversations and narratives\u201d to understand people\u2019s \u201cattitudes, knowledge, beliefs, and intentions.\u201d<\/p>\n\n\n\n In practical terms, this means that the organization is not only collecting data about disease but also analyzing how citizens think and communicate online.<\/p>\n\n\n\n