Disinformation has transformed into a global issue and while it is seen as a growing concern to democracy today, autocrats have long used it as a part of their propaganda repertoire. Yet, no study has tested the effect of disinformation on regime stability and breakdown beyond country-specific studies. Drawing on novel measures from the Digital Society Project (DSP) estimating the levels of disinformation disseminated by governments across 148 countries between 2000-2022 and from the Episodes of Regime Transformation (ERT) dataset, we provide the first global comparative study of disinformation and survival of democratic and authoritarian regimes, respectively. The results show that in authoritarian regimes, disinformation helps rulers to stay in power as regimes with higher levels of disinformation are less likely to experience democratization episodes. In democracies, on the other hand, disinformation increases the probability of autocratization onsets. As such, this study is the first to provide comparative evidence on the negative effects of disinformation on democracy as well as on the prospects of democratization.
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http://dx.doi.org/10.1177/10659129241252811 | DOI Listing |
Advances in the use of AI have led to the emergence of a greater variety of forms disinformation can take and channels for its proliferation. In this context, the future of legal mechanisms to address AI-powered disinformation remains to be determined. Additional complexity for legislators working in the field arises from the need to harmonize national legal frameworks of democratic states with the need for regulation of potentially dangerous digital content.
View Article and Find Full Text PDFFront Artif Intell
January 2025
Alma Sistemi Srl, Rome, Italy.
This study explores the evolving role of social media in the spread of misinformation during the Ukraine-Russia conflict, with a focus on how artificial intelligence (AI) contributes to the creation of deceptive war imagery. Specifically, the research examines the relationship between color patterns (LUTs) in war-related visuals and their perceived authenticity, highlighting the economic, political, and social ramifications of such manipulative practices. AI technologies have significantly advanced the production of highly convincing, yet artificial, war imagery, blurring the line between fact and fiction.
View Article and Find Full Text PDFPublic Health Pract (Oxf)
June 2025
Erasmus MC, Pandemic and Disaster Preparedness Center, Delft, Rotterdam, the Netherlands.
Background: The disease burden of COVID-19 infection, morbidity, and mortality was unevenly distributed across different population subgroups. A one-size-fits-all approach may not reach all groups. Identifying barriers and drivers that influence behaviour towards COVID-19 public health and social measures (PHSM) is an important step when designing tailored interventions.
View Article and Find Full Text PDFAntimicrob Steward Healthc Epidemiol
January 2025
Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.
Objective: Social media has become an important tool in monitoring infectious disease outbreaks such as coronavirus disease 2019 and highly pathogenic avian influenza (HPAI). Influenced by the recent announcement of a possible human death from H5N2 avian influenza, we analyzed tweets collected from X (formerly Twitter) to describe the messaging regarding the HPAI outbreak, including mis- and dis-information, concerns, and health education.
Methods: We collected tweets involving keywords relating to HPAI for 5 days (June 04 to June 08, 2024).
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