Participative Assistive AI-powered Tools for Supporting Trustworthy Online Activity of Citizens and Debunking Disinformation

Digital, Industry & SpaceHORIZON-IAID: 101135757
EC Contribution
€48,952
Consortium Size
14 orgs
Start Year
2024
Summary

AI4Deunk aims to develop 4 human-centered AI-powered interfaces: a web plug-in, a collaborative platform, a smartphone app, and an AR interface. All these solutions will be built upon a ""debunking"" API.To develop such an API, AI4Debunk will focus on 2 peculiar disinformation topics: the war in Ukraine and disinformation related to climate change. By deeply analysing these case studies thanks to sociological experts (targets groups, sources, way of diffusion...), we will map disinformation contents on knowledge graphs, and compare them to existing databases thanks to AI methods such as NLP. These knowledge graphs will be the skeleton of our technical work: one will be multimodal meaning that all types of modalities (written content, image, video) will be directly embedded, while the monomodal will be only about written content (the different modalities will be previously embedded into written content). Then debunking modules will be developed, for each type of modality, based on AI and ML methods that could detect and examine questionable content, by comparing it to the context extracted from the knowledge graphs. RNN, CNN, multi-modal language interpretation, and transformers methods will be used to that extent. The goal of such modules is to give a score of fakeness, which we will call Disinofscore, for content given as input. The API will then integrate this method and will be the bases of the 4 interfaces abovementioned. The plugin will allow people to be instantly noticed when a content they are considering is fake or true, the collaborative platform - also called Disinfopedia, will allow more proactive online users to report questionable content, that will be checked by a debunking committee chaired by a senior analyst, the app interface will allow people to check content in their everyday life, while the AR interface will allow citizens to have hindsight on the incoming generation of fake news and social media.""

Consortium (14)

Project Results (45)

Source: CORDIS, the EU research results database.

Publications (18)
CID: Measuring Feature Importance Through Counterfactual Distributions
Northern Lights Deep Learning Conference 2026· 2025DOI
Eddie Conti, Álvaro Parafita, Axel Brando
Knowledge Graphs and Machine Learning in Fake News and Disinformation Detection
2024 International Conference on Engineering and Emerging Technologies (ICEET)· 2025DOI
Anastasios Manos, Despina Elisabeth Filippidou, Nikolaos Pavlidis, Georgios Karanasios, Georgios Vachtanidis, Arianna D'Ulizia, Alessia D'Andrea
Linguistic insights, media mechanisms and role of AI in dissemination and impact of disinformation
Journal of Information, Communication and Ethics in Society· 2025DOI
Alessia D’Andrea, Giorgia Fusacchia, Arianna D’Ulizia
On the Generalisation Capability of Local Surface Frames in Detecting Diffusion-Based Facial Images
2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)· 2025DOI
Andrea Ciamarra, Roberto Caldelli, Alberto Del Bimbo
Policy Review: Countering Disinformation in the Digital Age - Policies and Initiatives to Safeguard Democracy in Europe
Information Polity· 2025DOI
Alessia D’Andrea, Giorgia Fusacchia, Arianna D’Ulizia
Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All?
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)· 2025DOI
Josu Eguiluz Castañeira, Axel Brando, Migle Laukyte, Marc Serra-Vidal
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)· 2025DOI
Álvaro Parafita, Tomas Garriga, Axel Brando, Francisco J. Cazorla
Probing the Embedding Space of Transformers via Minimal Token Perturbations
IJCAI 2025 Workshop on Explainable Artificial Intelligence· 2025DOI
Eddie Conti, Alejandro Astruc, Alvaro Parafita, Axel Brando
Visual Quality Improved Watermarking based on Dual-Reference Loss for Deepfake Attribution
Proceedings of the 1st on Deepfake Forensics Workshop: Detection, Attribution, Recognition, and Adversarial Challenges in the Era of AI-Generated Media· 2025DOI
Qiushi Li, Stefano Berretti, Roberto Caldelli
A Novel Application of SCMs to Time Series Counterfactual Estimation in the Pharmaceutical Industry
NeurIPS'24 Workshop on Causal Representation Learning· 2024
Tomàs Garriga, Gerard Sanz, Eduard Serrahima, Axel Brando
A Sociopolitical Approach to Disinformation and AI: Concerns, Responses and Challenges
Journal of Political Science and International Relations· 2024DOI
Pascaline Gaborit
Detecting Deepfakes Through Inconsistencies in Local Camera Surface Frames
2024 IEEE International Conference on Image Processing Challenges and Workshops (ICIPCW)· 2024DOI
Andrea Ciamarra, Roberto Caldelli, Alberto Del Bimbo
MAD '24 Workshop: Multimedia AI against Disinformation
Proceedings of the 2024 International Conference on Multimedia Retrieval· 2024DOI
Cristian Stanciu, Bogdan Ionescu, Luca Cuccovillo, Symeon Papadopoulos, Giorgos Kordopatis-Zilos, Adrian Popescu, Roberto Caldelli
MAD’24 Workshop Chairs' Welcome Message
Proceedings of the 3rd ACM International Workshop on Multimedia AI against Disinformation· 2024DOI
Stanciu, Cristian and Ionescu, Bogdan and Cuccovillo, Luca and Papadopoulos, Symeon and Kordopatis-Zilos, Giorgos and Popescu, Adrian and Caldelli, Roberto
Robustness and Generalization of Synthetic Images Detectors
CEUR Workshop Proceedings· 2024
Coccomini D.A., Caldelli R., Gennaro C., Fiameni G., Amato G., Falchi F.
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
The 40th Conference on Uncertainty in Artificial Intelligence· 2024
Axel Brando, Lucas Berry, David Mege
Spotting fully-synthetic facial images via local camera surface frames
2024 IEEE International Workshop on Information Forensics and Security (WIFS)· 2024DOI
Andrea Ciamarra, Roberto Caldelli, Alberto Del Bimbo
Temporal surface frame anomalies for deepfake video detection
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)· 2024DOI
Andrea Ciamarra, Roberto Caldelli, Alberto Del Bimbo
Deliverables (27)
Documents, reports
Documents, reports