The Media Analysis, Verification and Retrieval research group is working on media intelligence solutions, with particular interest in countering online harms.

Thessaloniki, Greece
Joined July 2019
New on our website: this articles outlines how automated #factchecking (AFC) is being developed and progresses in order to support with #verification tasks that, manually, take up a lot of time. Authors: researchers of @meverteam. veraai.eu/posts/assisting-au…
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Thanks to everyone who joined us yesterday and big thanks to Symeon (Akis) Papadopolous, @sympap (@veraai_eu), for the insightful webinar! Watch the replay to learn more about synthetic media detection here 📽️: disinfo.eu/outreach/our-webi…
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ICYMI: here's a piece by @meverteam's @sympap who reflects on topics related to the event 'Meet the Future of AI’ that we co-hosted. Issues: - AI generated #disinformation as mainstream? - Its perception - Tech solutions for countering it - Regulation veraai.eu/posts/meet-the-fut…
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Our @sympap & @olgpapa of @meverteam, @AAlaphilipp of @DisinfoEU and @fabiogiglietto Giglietto of @uniurbit / @mine_smd put together & led this report on #GenerativeAI and #Disinformation. Featuring tech developments, use cases, actors & countermeasures veraai.eu/posts/generative-a…
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✨Event Alert! Meet the Future of #AI - Generative AI & Democracy! Join us on June 19 in Brussels to explore how #GenerativeAI impacts media & shapes democratic processes. Co-organised by leading EU-funded projects ✅Free registration required👇ai4media.eu/event/meet-the-f…
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In the context of the Horizon Europe MAMMOth project, we developed the "AI Fairness Definition Guide" to help those creating AI understand how to define fairness in the social context of their created systems by working with new stakeholders. lnkd.in/dYf3Vq32
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🚨Publication alert (𝑯𝒐𝒘) 𝒅𝒐𝒆𝒔 𝑨𝑰 𝒄𝒉𝒂𝒏𝒈𝒆 𝒕𝒉𝒆 𝒏𝒆𝒘𝒔? Thanks to the @TowCenter, my big-picture report on this is finally out, based on 170 interviews with industry/academic experts & employees at 35 publishers in 🇺🇸🇬🇧🇩🇪 🔓🔗 cjr.org/tow_center_reports/a…
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CfP: 4th Workshop on Bias and Fairness in AI (BIAS) event located at the @ECMLPKDD 2024. Learn more about #Bias and #Fairness in AI! @TijlDeBie @sympap @marybethdefranc @hildeweerts
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We just published three Deliverables (reports detailing work progress, approach and outcomes) 1: Explainable AI methods for analysis and verification of text, audio, image & video misinformation 2: Cross-lingual and multimodal near-duplicate search methods veraai.eu/posts/veraai-rdwor…
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Researchers from #AI4Media, @veraai_eu, #AI4Trust and @TITANprojectEU have published a new #whitepaper! 📄 It aims to enhance knowledge about how advanced #AI can generate disinformation, develop new detection technologies, and address related #ethical and #legal issues. ⚖️ ➕👇

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Being able to spot fake images is becoming an essential skill in social media literacy. This AI-faked image got 90,000 likes/shares in 2 days. The algorithm rewards pages that flood the internet with rapidly generated AI content. Here are some tips for spotting AI 📷! 🧵(1/4)
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As a collaborative effort, under the leadership of our ⁦@kbontcheva⁩, a new White Paper has been published. Topic: “#GenerativeAI and #Disinformation: Recent Advances, Challenges, and Opportunities.” Reachable via ⁦@EDMO_EUI⁩ edmo.eu/2024/02/13/new-white…
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Communicating our research: @jospang is interviewing @sympap about @veraai_eu’s objectives, his expectations and @meverteam’s role in the project! #projectmeeting #factchecking #horizoneurope – at Thessaloniki, Greece
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Conference alert! #MAD2024 (3rd ACM International Workshop on Multimedia AI against Disinformation) takes place in Phuket, Thailand 🇹🇭 from 10-13 June. It is co-organized with the ACM International Conference on Multimedia Retrieval (ICMR’24). mad2024.aimultimedialab.ro/
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Can content credentials help combat election disinformation? 🧐 This @IEEESpectrum article explores solutions with insights from PAI's @CLeibowicz and a number of key contributors to PAI's Synthetic Media Framework (@C2PA_org, @microsoft, @BBC, @Adobe) buff.ly/3SkpE3W
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ICYMI: here's a dataset that contains synthetic, AI-generated images from 9 different models (1,000 images each), namely DALL·E 2 & 3 Adobe Firefly Midjourney v5 Stable Diffusion 1.3, 1.4, 2, XL Glide. Provided by @QBammey, and part of our project work. veraai.eu/posts/dataset-synt…
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Fake accounts like those below use profile pictures generated by AI (GANs)! Our new study reveals their characteristics and estimates their prevalence on Twitter: about 10k daily active users! With @danishjeetsingh and @OSoMe_IU arxiv.org/abs/2401.02627 1/7
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