{"id":48420,"date":"2026-08-28T10:53:41","date_gmt":"2026-08-28T08:53:41","guid":{"rendered":"https:\/\/media-and-learning.eu\/?p=48420"},"modified":"2026-08-28T10:53:45","modified_gmt":"2026-08-28T08:53:45","slug":"vera-ai-ai-tools-to-spot-deepfakes-and-disinformation","status":"publish","type":"post","link":"https:\/\/media-and-learning.eu\/type\/tools\/vera-ai-ai-tools-to-spot-deepfakes-and-disinformation\/","title":{"rendered":"vera.ai: AI tools to spot deepfakes and disinformation"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Verifying whether a video, image or audio clip has been manipulated is getting harder every year, as generative AI makes convincing fakes easier to produce than ever. vera.ai is a Horizon Europe research project (2022\u20132025) that set out to give journalists, fact-checkers and educators AI tools to keep pace, building on earlier EU-funded work through the InVID (2016\u20132018) and WeVerify (2018\u20132021) projects.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The project&#8217;s main output is a free browser extension, the &#8220;Fake News Debunker&#8221; plugin, which bundles around 20 verification tools into one toolbar. Established features include reverse image and video search across seven engines, a keyframe tool that breaks a video into stills for easier searching, metadata and copyright checks, and an OCR tool that extracts and translates text embedded in images. vera.ai added newer AI-driven modules on top of these: a synthetic image detector, a deepfake video detector, and a voice-clone detector for AI-generated audio. A built-in Classroom section offers ready-made examples of manipulated media with explanations, which makes it a genuinely useful teaching aid for media literacy sessions, not just a professional tool.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The plugin has real credentials: it won first prize in the US State Department&#8217;s 2021 Paris Tech Challenge, and the Poynter Institute has called it &#8220;one of the most powerful tools for spotting misinformation online.&#8221; It&#8217;s used by around 100,000 people a month, including teams at AFP and Bellingcat. That said, the newer AI-detection features are still labelled experimental by their own developers, and are best treated as a strong first signal rather than a definitive verdict. A few of the more advanced tools also require free registration as a journalist, fact-checker or researcher, which may limit access for casual classroom use. Worth noting too: most modules run locally or query external search engines, but the deepfake and voice-clone tabs upload material to project servers for analysis, so it&#8217;s not the tool to reach for with sensitive or source-identifying content.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Overall, it&#8217;s a well-evidenced, actively maintained resource (last updated July 2026) that sits squarely at the intersection of AI literacy and media literacy \u2014 two areas central to MLA&#8217;s work.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can download the tool from the Chrome Web Store, search &#8220;Fake news debunker InVID WeVerify VeraAI&#8221;, or via <a href=\"https:\/\/www.veraai.eu\/\">www.veraai.eu<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Verifying whether a video, image or audio clip has been manipulated is getting harder every year, as generative AI makes convincing fakes easier to produce than ever. vera.ai is a Horizon Europe research project (2022\u20132025) that set out to give journalists, fact-checkers and educators AI tools to keep pace, building on earlier EU-funded work through [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":48423,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_mo_disable_npp":"","footnotes":""},"categories":[362,272,6],"tags":[],"class_list":["post-48420","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-media-literacy","category-tools"],"featured_image_src":"https:\/\/media-and-learning.eu\/files\/2026\/08\/Website-Banner-700-x-200-px-1000-x-300-px-73.png","author_info":{"display_name":"Shirin Izadpanah","author_link":"https:\/\/media-and-learning.eu\/author\/shirin-izadpanah\/"},"_links":{"self":[{"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/posts\/48420","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/comments?post=48420"}],"version-history":[{"count":2,"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/posts\/48420\/revisions"}],"predecessor-version":[{"id":48428,"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/posts\/48420\/revisions\/48428"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/media\/48423"}],"wp:attachment":[{"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/media?parent=48420"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/categories?post=48420"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/media-and-learning.eu\/api-json\/wp\/v2\/tags?post=48420"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}