Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
InteractiveResource . 2023
License: CC BY
Data sources: ZENODO
ZENODO
InteractiveResource . 2023
License: CC BY
Data sources: Datacite
ZENODO
InteractiveResource . 2023
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

MOOC Digital Resilience Against Disinformation (DOMINOES)

Authors: Arcos, Rubén; Gertrudix, Manuel; Ivan, Cristina; Irena, Chiru; Aitana, Radu; Buluc, Ruxandra; Ganatra, Kanchi; +5 Authors

MOOC Digital Resilience Against Disinformation (DOMINOES)

Abstract

Disinformation and misinformation are a growing problem affecting citizens, institutions and the general functioning of society. To combat this phenomenon, we need to develop a social resilience that prevents public discourse and debate from being distorted, the credibility of institutions from being undermined and the functioning of democratic processes from being disrupted. And this is the task of all of us. The strategies and techniques used in disinformation processes are becoming increasingly sophisticated and difficult to detect. As citizens, we need to be able to recognise and assess misinformation spread in online environments in order to respond appropriately. The DOMINOES MOOC will enable you to strengthen your digital resilience to disinformation and improve some of the key competences defined in the Digital Competence Framework for Citizens. By the end of this online course, you will better understand what disinformation is in the current technological context, how it works, what its impact is and what measures can be taken to combat it. To this end, DOMINOES provides you with numerous examples, case studies, lessons learned and best practices, simulations and a guide on what still needs to be done and what the biggest challenges are in the fight against disinformation. We are looking for citizens, students and teachers of social and security sciences who are interested in learning more about the current information system and are engaged in the fight against disinformation. We need you. Is the duty of each one of us. The course is developed in collaboration between: "Mihai Viteazul" National Intelligence Academy (MVNIA) – Romania, Ciberimaginario Research Group of the University Rey Juan Carlos– Spain, L-Università ta' Malta, and New Strategic Center – Romania. The course is a result of the project DOMINOES, Digital cOMpetences INformatiOn EcoSystem and Strategic partnership project within ERASMUS+ Programme AGREEMENT NO. - 2021-1-RO01-KA220-HED-000031158

Keywords

Resilience, Digital Competence Framework for Citizens, Media and Information Literacy, Misinformation, Fakenews, Disinformation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average