Veille Scientifique étudiante concernant la cognition partagée (SharedCognition) et la polarisation politique
Cette application est une plateforme collaborative de veille scientifique permettant d'importer des publications depuis PubMed, de suivre leur lecture, d'en extraire les éléments méthodologiques clés (protocole, variables, résultats), et de constituer une synthèse structurée pour faciliter la réalisation de revues de littérature.
There is strong political assortment of Americans on social media networks. This is typically attributed to preferential tie formation (i.e. homophily) among those with shared partisanship. Here, we d…
Sentiment analysis is an essential task in natural language processing that involves identifying a text's polarity, whether it expresses positive, negative, or neutral sentiments. With the growth of s…
Neglecting the role of political bias in the public's perceptions of health authorities could be deceptive when studying potentially politicized COVID-19 conspiracy theories (CCTs); however, previous …
During the COVID-19 pandemic, the United States public polarized along political lines in their willingness to adopt various health-protective measures. To bridge these political divides, we tested mo…
Within structurally polarized and dynamic contexts, such as the U.S. 2020 presidential elections, the moralization of individuals' attitudes on a specific topic (e.g., climate policy) can dangerously …
Emotional appraisals of political stimuli (e.g., videos) have been shown to drive shared neural encoding, which correspond to shared, yet divisive, interpretations of such stimuli. However, mindfulnes…
BACKGROUND: Protecting public health from infectious diseases often relies on the cooperation of citizens, especially when self-care interventions are the only viable tools for disease mitigation. Acc…
Interventions to counter misinformation are often less effective for polarizing content on social media platforms. We sought to overcome this limitation by testing an identity-based intervention, whic…
Hysteresis has been used to understand various social phenomena, such as political polarization, the persistence of the vaccination-compliance problem, or the delayed response of employees in a firm t…
BACKGROUND: Social media (SM) use by orthopaedic surgeons is becoming increasingly common; nonetheless, it needs to be clarified how patients perceive the content posted by physicians.PURPOSE: To char…
People's information behavior during the COVID-19 pandemic was challenged through vast amounts of information, misinformation, and disinformation. This study sets out to address the research gap of lo…
This study explores how the political interests of different ethnic groups influence mainstream televisions' news discourses in Ethiopia. It was based on data generated from a corpus of 1167 news stor…