CORDIS - Risultati della ricerca dell’UE
CORDIS

Co-Creating Misinformation-Resilient Societies

Risultati finali

D 1.1: Co creation framework – building a sustainable ecosystem

D 1.1: Co creation framework – building a sustainable ecosystem [M7](R, PU): This deliverable is a report on the socio-technical requirements, challenges, opportunities, including a manual on running the pilots, legal framework and all necessary public settings.

D5.4 Analysis of the relationships between individual characteristics, social factors, and media design, and citizens’ approach to misinformation

D5.4 Analysis of the relationships between individual characteristics, social factors, and media design, and citizens’ approach to misinformation [M34](R, PU): This deliverable will report on the correlated impact of various citizen characteristics (e.g., gender, location, language), media designs (e.g., misinformation style, topic, method of delivery), on how the citizen is likely to deal with misinformation (e.g., ignore, share, comment on, refute, endorse, question).

D2.4 Evaluation results of misinformation policies and interventions

D2.4 Evaluation results of misinformation policies and interventions [M40](R, PU): This report will describe and assess the applied misinformation management policies and intervention strategies.

D5.2 Co-Inform tool iterative development design recommendations

D5.2 Co-Inform tool iterative development design recommendations [M24](R, PU): Initial evaluation results of Co-Inform platform and tools.

D2.2 Policies and procedures for interventions deployment and testing

D2.2 Policies and procedures for interventions deployment and testing [M18](R, PU): In this deliverable, the recommended interventions and associated procedures will be fully described, as well as their expected impact and risks.

D5.5 Platform design implications for changing the citizens’ resilience to misinformation and increasing engagement and recommendations

D5.5 Platform design implications for changing the citizens’ resilience to misinformation and increasing engagement and recommendations [M40](R, PU): Scientific paper that reports on the impact of various interventions on persuading a more misinformation-resilient behaviour.

D5.1 Evaluation methods

D5.1 Evaluation methods [M12](R, PU): Description of the methods that will be used in the evaluation tasks of T5.1, T5.2, and T5.3.

D3.3 Cascading patterns and predictors of misinformation flow

D3.3 Cascading patterns and predictors of misinformation flow [M24](R, PU): Following the work in T3.3, this deliverable will describe all identified misinformation cascading patterns, and any topological and typological network dependencies.

D1.3: Incentives of engagement and resilience - Interim report

D1.3: Incentives of engagement and resilience - Interim report [M24](R, PU): This deliverable will include an interim description of practices, strategies and findings with respect to the feedback mechanism within the ecosystem

D1.2: Pilot requirements and Service design

D1.2: Pilot requirements and Service design [M9](R, PU): In this deliverable, we will report the stakeholder requirements, and detail the design and plans of all pilots according to the expected documentation of result from WP4 and T1.1.

D2.1 Co-Created misinformation management policies

D2.1 Co-Created misinformation management policies [M12](R, PU): The documentation of handling policies for stakeholders (citizens, journalists, policymakers) and rules and guidelines of a mechanism to automatically handle identified misinformation will be the content of this deliverable.

D3.2 Survey of misinformation detection methods

D3.2 Survey of misinformation detection methods [M12](R, PU): This deliverable will provide a literature survey of tools and algorithms for detecting various types of misinformation. Deliverable to be published as a conference or journal paper.

D4.6 Interface Development - Second version

D4.6 Interface Development - Second version [M30](P+R, PU): Second and mature version of the user interface.

D1.4: Pilot conclusion

D1.4: Pilot conclusion [M40](R, PU): Includes pilot documentation, evaluation and sustainability reports according to the expected results. D1.5: Incentives of engagement and resilience - Final report [M40](R, PU): Final description of practices, strategies and findings with respect to the feedback mechanism within the ecosystem.

D6.1 Dissemination and communication action plan

D6.1 Dissemination and communication action plan [M6] (R, PU): A report that will address overall communication and dissemination strategy and its expected results, corporate identity, project logo and graphical layouts; guidelines for the implementation of communication and dissemination actions, identification and segmentation of communication and dissemination targets; tools needed to implement successful communication events, where the project should be represented; the timing of communication and dissemination actions foreseen to support the project visibility and communication to specific targets; the communication levels (European or national/regional/local) and the responsibilities attributed to each partner, indicators to measure the performance of the communication and dissemination and methods for monitoring and reporting the communication and dissemination actions.

D5.3 A decision theoretical policy evaluation tool

D5.3 A decision theoretical policy evaluation tool [M24](R, PU): This deliverable describes the integrated decision analytical model developed in T5.4 for evaluating the impact of Co-Inform output on the formation of policies.

D2.3 Policy models and structures

D2.3 Policy models and structures [M24] (R, PU): This deliverable will provide a detailed model and structure of WP2 policies, and outline the evaluation criteria applicable to these policies.

D5.6 Report on summative procedures and findings for the three stakeholder groups

D5.6 Report on summative procedures and findings for the three stakeholder groups [M40](R, PU): This deliverable will summarise the various evaluation procedures used in the project, and their outcomes (T5.2-3)when applied to citizens, journalists, and policymakers. It will also report on the evaluation results of T5.4 model on policy formation. It will also consist of recommendations to policymakers and journalists stakeholder groups for maximizing the impact of the Co-Inform platform.

D7.1 Data Management Plan (DMP)

D7.1 Data Management Plan (DMP) [M6, 24, 36](R, CO): Report detailing how data in the project will be managed, and how it will be protected from unauthorized access on the network, infrastructure and application levels. This includes detailed information on privacy/confidentiality and the procedures that are implemented for data collection, storage, access, sharing policies, protection, retention and destruction. The data management plan will follow the H2020 guidelines and comply with EU legislation. The report will also describe the security measures that will be implemented to prevent improper use, improper data disclosure scenarios and ‘mission creep’ (i.e.: unforeseen usage of data by any third party). Some potential “unforeseen usage” scenarios will also be reported.

D4.5 Interface Development - First version

D4.5 Interface Development - First version [M15](P+R, PU): Description and prototype of the initial design and development of the Co-Inform platform interface.

D4.3 Generic Co-Inform architecture - Version 3

D4.3 Generic Co-Inform architecture - Version 3 [M15](P, PU): Version 3 of architecture

D4.2 Generic Co-Inform architecture - Version 2

D4.2 Generic Co-Inform architecture - Version 2 [M9](P, PU): Version 2 of architecture.

D3.1 Content collection services

D3.1 Content collection services [M12](DEM+R, PU): This deliverable will describe the content collection services developed in T3.1, including their language coverage, content sources, and semantic enrichments. The deliverable will also detail the API for accessing this content.

D4.4 Generic Co-Inform architecture - Version 4

D4.4 Generic Co-Inform architecture - Version 4 [M21](P, PU): Version 4 of architecture.

D4.1 Generic Co-Inform architecture - Version 1

D4.1 Generic Co-Inform architecture - Version 1 [M5](P, PU): The deliverable focuses on interoperability at business and information level, to be developed in an agile manner.

D3.4 Services for measuring and tracking perception and behaviour towards misinformation

D3.4 Services for measuring and tracking perception and behaviour towards misinformation [M40](DEM+R, PU): This deliverable will consist of a demonstrator of the T3.4 services for calculating opinion and categorising behaviour towards misinformation, and a report to describe the technical functionality of the services.

Pubblicazioni

Democratic Policy-making for Misinformation Detection Platforms by Git-based Principles

Autori: Oul Han, Ipek Baris, Akram Sadat Hosseini, Sarah de Nigris, Steffen Staab
Pubblicato in: Human Computer Interaction and Emerging Technologies: Adjunct Proceedings from the INTERACT 2019 Workshops, 2020, Pagina/e 67-74, ISBN 9781911653134
Editore: Cardiff University Press
DOI: 10.18573/book3.h

Chatbots to Support Children in Coping with Online Threats: Socio-technical Requirements

Autori: Lara Schibelsky Godoy Piccolo, Pinelopi Troullinou, Harith Alani
Pubblicato in: Designing Interactive Systems Conference 2021, 2021, Pagina/e 1504-1517, ISBN 9781450384766
Editore: ACM
DOI: 10.1145/3461778.3462114

WhatsApp and false information - a value-oriented evaluation

Autori: Alisson Puska, Luiz Adolpho Baroni, Maíra Codo Canal, Lara S. G. Piccolo, Roberto Pereira
Pubblicato in: Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, Numero 1, 2020, Pagina/e 1-10, ISBN 9781450381727
Editore: ACM
DOI: 10.1145/3424953.3426638

CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors

Autori: Ipek Baris, Lukas Schmelzeisen, Steffen Staab
Pubblicato in: Proceedings of the 13th International Workshop on Semantic Evaluation, 2019, Pagina/e 1105-1109
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/s19-2193

Towards Crowdsourcing Tasks for Accurate Misinformation Detection

Autori: Ronald Denaux, Flavio Merenda, and Jose Manuel Gomez-Perez
Pubblicato in: ASLD@ ISWC, Numero 1, 2020, Pagina/e (pp. 159-167).
Editore: CEUR

Sharing retrieved information using Linked Credibility Reviews

Autori: Ronald Denaux, Jose Manuel Gomez-Perez
Pubblicato in: ROMCIR 2021: Workshop on Reducing Online Misinformation through Credible Information Retrieval, held as part of ECIR 2021: the 43rd European Conference on Information Retrieval, March 28 April 1, 2021, Lucca, Italy (Online Event), 2021
Editore: CEUR

The Nudge Deck - A Design Support Tool for Technology-Mediated Nudging

Autori: Ana Caraban, Loukas Konstantinou, Evangelos Karapanos
Pubblicato in: Proceedings of the 2020 ACM Designing Interactive Systems Conference, Numero 1, 2020, Pagina/e 395-406, ISBN 9781450369749
Editore: ACM
DOI: 10.1145/3357236.3395485

Towards a Cross-article Narrative Comparison of News

Autori: Mensio, Martino; Alani, Harith and Willis, Alistair
Pubblicato in: In: R. Campos, A. Jorge, A. Jatowt, S. Bhatia (eds.): Proceedings of the Text2Story’20 Workshop, Lisbon, Portugal, 14-April-2020, published at http://ceur-ws.org, 2021
Editore: CEUR

NAVIGATING THE POST-TRUTH ERA: TRUST, MISINFORMATION, AND CREDIBILITY ASSESSMENT ON ONLINE SOCIAL MEDIA

Autori: Eleni A. Kyza, Christiana Varda
Pubblicato in: AoIR Selected Papers of Internet Research, Numero 2019, 2020, ISSN 2162-3317
Editore: AoIR
DOI: 10.5210/spir.v2019i0.11000

Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations

Autori: Syed Iftikhar Hussain Shah, Asst. Prof. Vassilios Peristeras, Ioannis Magnisalis
Pubblicato in: Journal of Data and Information Quality, Numero 13/2, 2021, Pagina/e 1-25, ISSN 1936-1955
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3425709

SOCIAL MEDIA USE, TRUST AND TECHNOLOGY ACCEPTANCE: INVESTIGATING THE EFFECTIVENESS OF A CO-CREATED BROWSER PLUGIN IN MITIGATING THE SPREAD OF MISINFORMATION ON SOCIAL MEDIA

Autori: Eleni Kyza, Christiana Varda, Loukas Konstantinou, Evangelos Karapanos, Serena Coppolino Perfumi, Mattias Svahn, Yiannis Georgiou
Pubblicato in: AoIR Selected Papers of Internet Research, 2021, ISSN 2162-3317
Editore: Research from the Annual Conference of the Association of Internet Researchers.
DOI: 10.5210/spir.v2021i0.12197

A Multi-Criteria Framework for Pandemic Response Measures

Autori: Love Ekenberg, Adriana Mihai, Tobias Fasth, Nadejda Komendantova, Mats Danielson
Pubblicato in: Frontiers in Public Health, Numero 9, 2021, ISSN 2296-2565
Editore: Front Public Health
DOI: 10.3389/fpubh.2021.583706

Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter

Autori: Grégoire Burel, Tracie Farrell, Harith Alani
Pubblicato in: Information Processing & Management, Numero 58/6, 2021, Pagina/e 102732, ISSN 0306-4573
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2021.102732

Combating misinformation online: re-imagining social media for policy-making

Autori: Eleni A Kyza, Christiana Varda, Dionysis Panos, Melina Karageorgiou, Nadejda Komendantova, Serena Coppolino Perfumi, Syed Iftikhar Husain Shah, Akram Sadat Hosseini
Pubblicato in: Internet Policy Review, Numero 9/4, 2020, Pagina/e 1, ISSN 2197-6775
Editore: https://www.econstor.eu
DOI: 10.14763/2020.4.1514

A systematic literature review on disinformation: Toward a unified taxonomical framework

Autori: Eleni Kapantai, Androniki Christopoulou, Christos Berberidis, Vassilios Peristeras
Pubblicato in: New Media & Society, Numero 23/5, 2021, Pagina/e 1301-1326, ISSN 1461-4448
Editore: SAGE Publications
DOI: 10.1177/1461444820959296

A Framework for Categorising and Evaluating Tools for e‑Democracy

Autori: Mats Danielson, Love Ekenberg
Pubblicato in: Electronic Journal of e-Government, Numero 18/1, 2020, Pagina/e 1, ISSN 1479-439X
Editore: https://academic-publishing.org
DOI: 10.34190/ejeg.18.1.006

Co-spread of Misinformation and Fact-Checking Content During the Covid-19 Pandemic

Autori: Grégoire Burel, Tracie Farrell, Martino Mensio, Prashant Khare, Harith Alani
Pubblicato in: Social Informatics - 12th International Conference, SocInfo 2020, Pisa, Italy, October 6–9, 2020, Proceedings, Numero 12467, 2020, Pagina/e 28-42, ISBN 978-3-030-60974-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-60975-7_3

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