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CORDIS - Risultati della ricerca dell’UE
CORDIS

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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Initial report on the resilience mechanisms triggered by the tools (si apre in una nuova finestra)

1) Creation of an ethical committee of the tool; 2) Selection of beta testers; 3) Experimental tests with the beta testers (with a set of questions, images, and multimedia content); 4) Guidelines and recommendations to the tools’ designers.

Working paper 1. Title “Theoretical(in months) framework for the analysis of disinformation campaigns and foreign interference in the EU policy making” (si apre in una nuova finestra)

1) Identifying variety of content to influence, disrupt or distort the information ecosystem no matter where it comes from and who they target; 2) Building a theoretical framework and methodology for categorising the types of content involved in information manipulation; 3) Collecting evidence of information manipulation and interference incidents in the EU; 4) Analysing appropriate policies, strategies and instruments to respond to the disinformation threat including national and international (EEAS, NatoStratCom etc.) experience.

Working paper 2. “Information manipulation in the EU media ecosystem and response effectiveness” (si apre in una nuova finestra)

1) Mapping the information environment is to understand the current social media landscape in the EU; 2) Analysing commonalities and differences in information manipulation campaigns which occur offline as well as through online platforms and mainstream media; 3) Analysing whether social media companies become better at detecting and removing information manipulation from their platforms; 4) Understanding how threat actors have learned to modify their strategies, tools and tactics in social media; 5) Identifying effective instruments in detecting and building resilience against information manipulation in social media.

Report on the desk review analysis (si apre in una nuova finestra)

-Desk review analysis of case study 1 including the first findings of WPs 4, 5, and 6 : Russian disinformation including sources and propagation;- Desk review analysis of case study 2 including the first findings of WPs 4, 5, and 6 : Disinformation on Climate change including sources and propagation.

Project Handbook, Quality Assurance Plan and Data Management Plan (si apre in una nuova finestra)

The Quality assurance plan (incorporated with the Project Handbook) will include instructions, procedures, checklists (e.g., audit checklists, inspection checklists, deliverable report formats) and processes for reviewing deliverables and milestones (appointment of reviewers, checks for consistency, clarity, technical content, adherence to documentation standards, etc). The data generated during the project will be handled in the best possible way to maximise impact and inspired by FAIR principles. A Data management plan (DMP) will be drafted in the beginning of the project (M6) as part of the Project Handbook and will be continuously updated throughout its implementation, detailing precisely the procedure for data collection, consent procedure, storage, protection, retention and destruction of data, and confirmation that they comply with national and EU legislation. The DMP of the project will serve as a living document that will address all aspects of the data life cycle as described in part 1.2.7 “Research data management and management of other research outputs” of the proposal. To create this DMP, we will establish at the beginning of the project a Working group consisting of IPR experts from each partner.

Self-Assessment Plan (si apre in una nuova finestra)

UL will prepare a self-assessment plan, setting out the measures against which the project’s operational performance will be assessed (including the measurement of progress toward achieving the objectives).

1st version of PDCER - Communication, Dissemination and Exploitation Activities (si apre in una nuova finestra)

The exploitation strategy will comprise different phases including product identification, market analysis, preparation of business planning and strategic alliances. For all demo & use cases and exploitable results, a dedicated business plan will be developed based on the innovation roadmap of the end users. A feasibility analysis will be performed to ensure a smooth commercialization of the developed processes and new materials. This includes market and competition analysis, SWOT and PESTLE analysis in order to define the external environment, financial analysis (cost breakdown, further investment costs, and break-even point), proposition of marketing activities and seeking of additional funding opportunities, in collaboration with the next task). F6S will undertake a regular review and assessment of the ‘Freedom to Operate’ (FTO) in the areas of exploitable outputs. F6S will provide guidance to the partners for their FTO and patentability search, but each partner will be responsible for the right management of its result.

Report on the possible impacts of the tool on the perceptions of the citizens and the social media users (si apre in una nuova finestra)

1) Desk review, 2) Benchmark with other tools, 3) Questionnaires, 4) Online poll, 5) Follow up and Monitoring.

Initial report on the multi-stakeholders perspectives (si apre in una nuova finestra)

1) Set up of the guidelines for the focus groups, 2) Organization of the focus groups by the local partners year 2, 3) Analysis, follow up, and scaling up on the multi-stakeholders’ involvement; 4) Organisation of 2 transnational online focus groups multi-stakeholders’ involvement.

Gender Equality Plan (si apre in una nuova finestra)

Type:ETHICS1) Gender equality plan for the project, 2) Set up of guidelines on gender equality in the tool’s developed, 3) Testing of the guidelines with the developers, 4) Testing of the guidelines with the beta testers, 5) Recommendations.

Starting dataset of fake statements and related multimedia contents (si apre in una nuova finestra)

Delivery date (in months): M6, M9, M131) Data gathering: Collection of the starting set of fake statements that can be gathered from a number of highly-reputable fact-checking websites and also made available from Euractiv and Internews Ukraine.2) Information extraction: From these data we have to extract the following features:1) the textual statement of the claim; 2) the audios, videos, images related to the claim; 3) the author of the claim; 4) the date of publication of the claim; 5) the entities extracted from the claim body together with their Wikipedia categories.

Pubblicazioni

Temporal surface frame anomalies for deepfake video detection (si apre in una nuova finestra)

Autori: Andrea Ciamarra, Roberto Caldelli, Alberto Del Bimbo
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024, ISSN 2160-7516
Editore: IEEE
DOI: 10.1109/CVPRW63382.2024.00388

Robustness and Generalization of Synthetic Images Detectors

Autori: Coccomini D.A., Caldelli R., Gennaro C., Fiameni G., Amato G., Falchi F.
Pubblicato in: CEUR Workshop Proceedings, Numero 3762, 2024, ISSN 1613-0073
Editore: CEUR-WS.org

MAD '24 Workshop: Multimedia AI against Disinformation (si apre in una nuova finestra)

Autori: Cristian Stanciu, Bogdan Ionescu, Luca Cuccovillo, Symeon Papadopoulos, Giorgos Kordopatis-Zilos, Adrian Popescu, Roberto Caldelli
Pubblicato in: Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024, ISBN 979-8-4007-0619-6
Editore: ACM
DOI: 10.1145/3652583.3660000

Knowledge Graphs and Machine Learning in Fake News and Disinformation Detection (si apre in una nuova finestra)

Autori: Anastasios Manos, Despina Elisabeth Filippidou, Nikolaos Pavlidis, Georgios Karanasios, Georgios Vachtanidis, Arianna D'Ulizia, Alessia D'Andrea
Pubblicato in: 2024 International Conference on Engineering and Emerging Technologies (ICEET), 2025, ISSN 2831-3682
Editore: IEEE
DOI: 10.1109/ICEET65156.2024.10913780

Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models

Autori: Axel Brando, Lucas Berry, David Mege
Pubblicato in: The 40th Conference on Uncertainty in Artificial Intelligence, 2024
Editore: UAI 2024

A Novel Application of SCMs to Time Series Counterfactual Estimation in the Pharmaceutical Industry

Autori: Tomàs Garriga, Gerard Sanz, Eduard Serrahima, Axel Brando
Pubblicato in: NeurIPS'24 Workshop on Causal Representation Learning, Numero 7, 2024
Editore: NeurIPS

MAD’24 Workshop Chairs' Welcome Message (si apre in una nuova finestra)

Autori: Stanciu, Cristian and Ionescu, Bogdan and Cuccovillo, Luca and Papadopoulos, Symeon and Kordopatis-Zilos, Giorgos and Popescu, Adrian and Caldelli, Roberto
Pubblicato in: Proceedings of the 3rd ACM International Workshop on Multimedia AI against Disinformation, 2024
Editore: ACM
DOI: 10.1145/3643491

A Sociopolitical Approach to Disinformation and AI: Concerns, Responses and Challenges (si apre in una nuova finestra)

Autori: Pascaline Gaborit
Pubblicato in: Journal of Political Science and International Relations, Numero 7, 2024, ISSN 2640-2785
Editore: Science Publishing Group
DOI: 10.11648/j.jpsir.20240704.11

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