Raven razširjanja:
Javno

Avtorji:
UL

Povzetek:
Načrt upravljanja podatkov projekta AI4Debunk se uporablja kot razvijajoči se dokument, ki se med izvajanjem projekta redno posodablja in v katerem so podrobno opisani postopek za zbiranje podatkov, postopek privolitve, shranjevanje, ponovna uporaba, varstvo, hramba in uničenje podatkov ter potrditev, da sta uporaba in souporaba podatkov v skladu z nacionalno zakonodajo in zakonodajo EU. DMP oblikuje, potrjuje, posodablja in redno spremlja delovna skupina za pravice intelektualne lastnine, ki jo odobri in nadzoruje skupina za upravljanje inovacij (IMT). DMP prispeva k projektnemu priročniku D1.1, načrtu zagotavljanja kakovosti in načrtu upravljanja podatkov ter načrtu samoocenjevanja D1.2.

Ključne besede:
Podatki, načrt, upravljanje, poštenost, uporaba, ponovna uporaba, odprt dostop, etika.

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UL

Povzetek:
Ta načrt samoocenjevanja določa postopke za ocenjevanje operativne uspešnosti projekta, vključno z merjenjem napredka pri doseganju ciljev. Vključuje načrt samoocenjevanja za vsako nalogo v okviru vsakega delovnega programa od 1 do 18, pri čemer opozarja na cilj vsake naloge ter opisuje strategijo ocenjevanja, kazalnike uspeha in časovni razpored s stopnjo podrobnosti, ki je pomembna v tej zgodnji fazi projekta. To poročilo vključuje T1.1.

Ključne besede:
Ocena, uspešnost, načrt, naloge, cilji, napredek, kazalniki

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UL

Povzetek:
This document revises, complements and replaces the 1st version of the Project Handbook and Quality Assurance Plan (D1.1), additionally details assigned responsibilities, communication, meeting and reporting requirements, conflict resolution, financial requirements and incorporates the Quality Assurance Plan including instructions, procedures, checklists, and processes for reviewing deliverables and milestones. This report involves T2.1.

Ključne besede:
Handbook, reporting, requirements, quality assurance, procedures, processes

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UL

Povzetek:
This is the first update of the Self-Assessment Plan, which sets out procedures for assessing project’s operational performance, including the measurement of progress toward achieving the objectives. It includes a self-assessment plan for each task within each WP from 1 to 18, recalling the objective of each task, and outlining the evaluation strategy, the success indicators, and the timetable, with the level of detail relevant at this early stage of the project. This report involves T2.2.2.

Ključne besede:
Ocena, uspešnost, načrt, naloge, cilji, napredek, kazalniki

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UL, CNR, P4D, EURACTIV, IUA

Povzetek:
Delovni dokument vzpostavlja teoretični okvir za analizo dezinformacij z večdimenzionalnim objektivom. Namen prispevka je zagotoviti celovito razumevanje njegove narave, mehanizmov in daljnosežnih učinkov. Večplastna narava dezinformacij zahteva analitični pristop, s katerim je mogoče zajeti njihove vire, načine razširjanja in strateške namere, na katerih temeljijo.

Ključne besede:
Dezinformacije, teme dezinformacij, odziv EU, družbeni mediji

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UL, CNR, P4D, IUA

Povzetek:
Delovni dokument vsebuje celovito analizo komunikacijskih strategij, izzivov in odzivov EU v hitro spreminjajočem se medijskem okolju. Preučuje vpliv družbenih medijev, svetovnih digitalnih platform in stališč držav članic. Preučuje se pomen medijske pismenosti in kritičnega razmišljanja v boju proti dezinformacijam.

Ključne besede:
kritično razmišljanje, učinkoviti instrumenti, medijsko okolje EU, medijska pismenost, družbeni mediji

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UL, P4D, IUA, CNR-IRPPS

Povzetek:
The working paper offers an in-depth examination of the societal groups most affected by foreign disinformation, the tactics and mechanisms employed by different actors, and provides actionable recommendations to strengthen resilience across sectors. Based on 43 qualitative interviews conducted in six countries and covering four key societal groups—policymakers, the business community, public opinion shapers, and the Russian-speaking diaspora—the research underscores both the breadth and depth of the challenge, while also identifying practical policy responses. Addressing this challenge requires a shift beyond traditional fact-checking toward anticipatory, collaborative, and inclusive strategies supported by innovative technological solutions like AI.

Ključne besede:
Disinformation tactics, sources of propaganda, target groups, threat actors.

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UL, P4D, IUA, CNR-IRPPS

Povzetek:
The working paper reflects upon analysis of disinformation cases related to the war in Ukraine and climate change. Using a structured analytical framework, researchers examined selected case studies across various media environments to uncover recurring narratives, tactics, and actors involved in disinformation. Key findings reveal that disinformation is strategically designed to manipulate emotions, sow distrust, and reinforce societal divisions. Narratives often cluster around themes such as anti-democratic sentiments, elite conspiracy theories, and identity-based antagonism. The study also incorporated linguistic analysis of 46 Ukraine-related cases from Russian sources, revealing how language functions as a tool of deception within broader power dynamics. The findings emphasize that disinformation does not merely distort facts but reframes reality in emotionally charged and polarizing ways.

Ključne besede:
Climate change, critical discourse analysis, disinformation, polarizing narratives,
war in Ukraine.

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
MICC-UNIFI, CNIT, CNR, DOTSOFT, HU, BSC

Povzetek:

Report on Requirements describes and defines the requirements of the functionalities and technological solutions, implemented in WP6, WP7, WP8 and WP9, to interact with the AI4Debunk Platform. Such requirements will constitute the reference for the development of the different interfaces within WP10 and WP11.

Ključne besede:
Requirements, Functionalities, End-User, Interfaces, Platform

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
CNR, UMONS, UoG

Povzetek:

The deliverable D6.2 – Updated release of the dataset containing extracted features – describes the process for extracting relevant features from fake statements (e.g., topics, keywords, sentiment, and LIWC) and their related multimedia contents (e.g., captions from images, transcription from audio), including multimodal features (Meta information from body posture and gestures, and higher-level features from face recognition and voice analysis). The set of fake statements and related multimedia contents are those collected in Task 6.1 (Deliverable 6.1 Starting dataset of fake statements and related multimedia contents). The features have been extracted using the ML and multimodal AI modules developed in Tasks 8.1 and 8.2. 

Ključne besede:
Dataset, multimedia content, multimodal features

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
CNR, DOTSOFT

Povzetek:

The deliverable D6.3 – First report on the building process of the knowledge graphs – describes the building process of the two knowledge graphs, named the “unimodal” knowledge graph and the “multimodal” knowledge graph. The first “unimodal” knowledge graph consists in extracting the textual description from multimedia contents and adding this textual knowledge in the knowledge graph. The “multimodal” knowledge graph consists in embedding the multimedia contents within the knowledge graph based on multimodal feature description.

Ključne besede:
Knowledge graph, multimodal knowledge graph, Wikidata, taxonomy, ontology

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UMONS, EUalive, IUA, CNR, CNIT, MICC-UNIFI, IP, HU, NUIG

Povzetek:

This deliverable presents a robust, scalable, and forward-looking framework for enriching the AI4Debunk knowledge graph with verified, structured, and semantically enriched data—laying the groundwork for a resilient, community-driven disinformation detection platform that can evolve and thrive beyond the initial funding period.

Ključne besede:
Knowledge graphs, framework, disinformation, data, platform

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
MICC-UNIFI, CNIT, UMONS, NUIG

Povzetek:

The deliverable D8.1 – Initial reports on the modules developed – describes the initial tools that have been defined and developed for debunking audio, text and image/video content. The outcome of this deliverable and of the related task T8.1 will serve as starting point for the final development of the Machine Learning based tools that will continue in T9.1.

Ključne besede:
Audio, text and image/video deepfake; debunking tools

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UMONS, BSC

Povzetek:

The proliferation of multimodal news, which combines text, images, and audio, necessitates advanced systems capable of analyzing information across different formats to combat sophisticated disinformation. This report details the foundational development of the AI4DEBUNK decision support framework. We present three core components: (1) a multimodal information extraction system for audio and visual entity identification, designed to populate a central Knowledge Graph; (2) a cross-modal coherence analysis module to detect Out-of-Context (OOC) disinformation by verifying the semantic consistency between images and their captions; and (3) the initial version of the AI4DEBUNK Platform. This platform is a modular, extensible architecture that orchestrates various analysis modules—including deepfake detection, claim similarity, and coherence checking—to process multimodal news items and compute an aggregate “DisinfoScore.” While these components provide a strong foundation, future work will focus on the deep integration of the Knowledge Graph to provide the rich contextual data required to unify the system and enhance its adaptive intelligence.

Ključne besede:
Multimodal Disinformation, Decision Support System, Cross-Modal Analysis, Coherence Analysis, Out-of-Context (OOC), Information Extraction, Knowledge Graph, Modular Architecture, AI4DEBUNK, Fake News Detection

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
BSC, UMONS, CNIT, MICC-UNIFI, UoG

Povzetek:

As disinformation spreads rapidly, amplified by AI systems capable of generating highly convincing but false content, addressing this complex, evolving threat requires multidisciplinary and modular strategies. The AI4Debunk project responds to this challenge with a flexible, scalable architecture designed to detect and mitigate disinformation early, but making these systems trustworthy is crucial for their eventual adoption. This report details novel research on Trustworthy AI topics for disinformation detection—through causal explanations, counterfactuals, and uncertainty quantification—and proposes practical strategies for making AI4Debunk’s systems transparent, including saliency methods, heatmaps, and model cards. These efforts lay the groundwork for integrative, cross-disciplinary approaches that enhance the project’s technical robustness and societal relevance.

Ključne besede:
 trustworthiness, explainability, transparency, disinformation

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UMONS, CNIT, MICC-UNIF, BSC, UoG

Povzetek:

This report details the initial implementation of the DisinfoScore (DS) aggregation mechanism, a core component of the AI4DEBUNK decision support system for combating disinformation. The platform integrates a suite of multimodal analysis modules, including deepfake detection (text, image, audio) and cross-modal coherence checking. The current methodology calculates the final DS by normalizing all activated module outputs to a [0, 1] scale and computing a uniform weighted average. This document outlines the primary limitations of this approach, namely the simplistic, nonadaptive weighting scheme and the significant challenge of system evaluation due to the lack of a suitable multimodal dataset. Future work is defined, prioritizing a migration to a more robust and flexible agent-based orchestration model to enhance modularity and introduce explainability.

Ključne besede:
Disinformation, Multimodal Analysis, Decision Support System, Score Aggregation, Deepfake Detection, Cross-Modal Coherence, Explainable AI (XAI)

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
UMONS, BSC

Povzetek:

The Horizon Europe-funded AI4DEBUNK project is developing an advanced decision support system to combat digital disinformation. This report details the system’s modular, multimodal platform, which integrates specialized components for comprehensive content analysis. Key modules include semantic similarity estimation, a deepfake detection suite (covering text, image, and audio), and cross-modal coherence analysis to validate image-text relationships. The platform aggregates these analyses into a DisinfoScore, a weighted average metric whose composition provides inherent explainability. We discuss this explainable-by-design architecture and outline future work, which involves transitioning to an agentic architecture orchestrated by a Large Language Model (LLM) for enhanced contextual reasoning.

Ključne besede:
Disinformation, Deepfake Detection, Multimodal Analysis, Explainable AI (XAI), Decision Support System, Cross-Modal Coherence, Agentic Architecture

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
HU, DOTSOFT, IP, UMONS, P4D, CNIT, MICC-UNIFI

Povzetek:

This report presents the design and development of a disinformation debunking API that can be used by software developers building user interfaces for combatting disinformation. The report outlines the API’s system architecture and how it integrates with other AI4Debunk components. It also discusses how the software will be distributed to partners and potential future users.

Ključne besede:
disinformation, misinformation, debunking, factchecking, web engineering, application programming interface, microservices, enterprise integration, distributed systems

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
HU, P4D, IP

Povzetek:

This report presents the design and development of a browser extension intended to help users debunk online disinformation. It reviews existing research on browser extensions that counter false information. Drawing on social science research, requirements are outlined in the form of user stories, which inform both the user interface design and system architecture. The report also details the technologies used to implement the extension and discusses how it aims to support users in identifying misleading content on the web.

Ključne besede:
disinformation, misinformation, debunking, browser, extension, add-on, plug-in

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:

DOTSOFT

Povzetek:

AI4Debunk D10.3 specifies the AI4Debunk mobile app through detailed use cases, user stories, user journeys, and a dedicated security/privacy analysis, concluding with a technology-stack justification. The app enables multi-modal verification (text/URL, file upload, live audio, AR scanning) by sending requests to a Debunking API that returns a Disinfoscore, classification, and explanations, presented via a clear risk indicator and verdict.

Ključne besede:
Disinformation debunking; mobile application specification; multi-modal verification; Debunking API; Disinfoscore; onboarding and informed consent; augmented reality (AR) scanning; live audio capture; privacy and anonymity; security risk analysis; reporting to experts; Flutter cross-platform development

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:

IP, HU, P4D

Povzetek:

This deliverable presents the definition, structure, and implementation design of the AI4Debunk Collaborative Platform, an interactive and participatory web environment enabling citizens, journalists, researchers, and experts to collaborate in detecting, validating, and analysing online disinformation. The platform acts as a public-facing hub within the AI4Debunk ecosystem, connecting human input with automated disinformation detection engines. It serves as an open knowledge repository (“Disinfopedia”) and as a communication interface with the browser plug-in, mobile app, and AR/VR tools developed under WP10 and WP11.

The document describes the functional and quality requirements, user experience and accessibility design, system architecture, privacy and ethical considerations, and integration with the AI4Debunk backend infrastructure. It also details the steps towards technical validation, pilot deployment, and alignment with European standards for trustworthy AI and digital inclusion.

Ključne besede:
disinformation, misinformation, participatory validation, collaborative platform, human-centered design, explainable AI, knowledge graph, EU Horizon Europe

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:

DOTSOFT

Povzetek:

This deliverable specifies TruthSpace, AI4Debunk’s flagship VR serious game, designed to strengthen citizens’ resilience to online disinformation through immersive training. Users collaborate with the in-game AI assistant NUTRU inside a Klein-Bottle-inspired virtual world that visualises algorithmic “information loops” and overload, progressively transforming into a calm “TruthSpace” as skills are applied. The experience operationalises five core critical-thinking strategies (source evaluation, emotional manipulation recognition, fallacy/tactic detection, conspiracy framework awareness, and reflective thinking) each embodied through dedicated levels and minigames.

Ključne besede:
AI4Debunk; TruthSpace; Virtual Reality (VR); Augmented Reality (AR); Serious Game; Disinformation; Media Literacy; Critical Thinking; AI Assistant (NUTRU); Klein Bottle; Unity; Usability Evaluation (SUS)

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
Pilot4dev

Povzetek:
V tem poročilu so predstavljeni prvi rezultati teoretične raziskave in spletne ankete WP12. Osredotoča se na širjenje napačnih informacij in dezinformacij na spletu, pa tudi na dojemanje državljanov ter na regulacijo in moderiranje družbenih medijev za preprečevanje kroženja lažnih novic.

Ključne besede:
Platforme družbenih medijev, spletna anketa, dojemanje državljanov

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
Pilot4dev

Povzetek:
V tem rezultatu so predlagane prve splošne smernice za razvijalce orodij AI4DEBUNK. Obravnava točke prijaznosti do uporabnikov, družbenih medijev, neavtentičnega usklajenega vedenja, etike, vključevanja večjezičnih jezikov, „pojasnjevanja lažnosti“ in „vključevanja deležnikov“. Doda se tudi Priloga II o sestanku s skupino za beta testiranje.

Ključne besede:
Smernice, orodje umetne inteligence, neavtentično usklajeno vedenje, izboljšave, beta testiranje

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
Pilot4dev

Povzetek:
Ta načrt za enakost spolov je prvi mejnik na poti k odobritvi smernic za vključevanje enakosti spolov v različne delovne sklope projekta.

Konzorcij AI4Debunk je zavezan vključevanju spola in presečnosti kot prečnega vidika v dejavnosti projekta. V skladu s smernicami in cilji EU vsi partnerji, vključno z avtorji tega rezultata, priznavajo pomen spodbujanja analize po spolu in zbiranja podatkov, razčlenjenih po spolu, pri razvoju znanstvenih raziskav. Zato se zavezujemo, da bomo posebno pozornost namenili vključevanju, spremljanju in rednemu ocenjevanju udeležbe različnih spolov v vseh dejavnostih, razvitih v okviru projekta, vključno z delavnicami, spletnimi seminarji in dogodki, pa tudi anketami, intervjuji in raziskavami na splošno. Ob uporabi nebinarnega pristopa k zbiranju podatkov in spodbujanju udeležbe vseh spolov v dejavnostih bodo partnerji redno razmišljali in obveščali o omejitvah svojega pristopa. Z iterativnim učnim procesom se zavezujejo, da bodo načrtovali in izvajali strategije, ki bodo čim bolj povečale vključevanje vse več presečnih vidikov v njihove dejavnosti.

Ključne besede:
Ženske, enakost spolov, vključenost, spolna pristranskost

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
Pilot4dev

Povzetek:
To poročilo obravnava obstoječo literaturo in dokumentacijski pregled o napačnih informacijah in dezinformacijah o podnebnih spremembah v študiji primera.

Ključne besede:
Podnebne spremembe, dezinformacije, napačne informacije, študija primera, dokumentacijski pregled

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
Pilot4dev, UL, EUalive, IUA

Povzetek:
V tem dokumentu so povzete ugotovitve razgovorov z deležniki in treh fokusnih skupin, organiziranih v letu 2024 v okviru naloge 12.5.

Ključne besede:
Dojemanje deležnikov, dezinformacije, vojna v Ukrajini, podnebne spremembe, platforme družbenih medijev

Prenesi tukaj

Raven razširjanja:
Javno

Avtorji:
F6S

Povzetek:
Ta rezultat zajema začetno različico načrta dejavnosti komuniciranja, razširjanja in izkoriščanja za projekt AI4Debunk. Redno se bo pregledovalo in prilagajalo, da bodo doseženi opredeljeni cilji.

Ključne besede:
Komunikacija, razširjanje, izkoriščanje, strategija

Prenesi tukaj