Veille Scientifique étudiante concernant la cognition partagée (SharedCognition) et la polarisation politique

Alimenté par : Claudia Dapino Ponel, Madeline Desmurs

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.

Dernière synchronisation : 11/06/2026

Polarisation politique et co-présence sociale numérique

Effets de la co-présence sur la polarisation politique

405 articles disponibles

political polarization AND (media OR news) AND (experiment OR study)
attitude polarization AND (information OR exposure) AND experiment
opinion polarization AND (media OR news) AND (attitudes OR judgment)
group polarization AND (decision OR discussion OR experiment)
political attitudes AND polarization AND experiment

Fake News and vaccine hesitancy in the COVID-19 pandemic in Brazil.

This paper presents the evolution of fake news disseminated about vaccines and the SARS-CoV-2 virus and its adverse impacts on the current Brazilian health crisis. This quantitative, empirical study i…

Polarisation politique et co-présence sociale numérique
Galhardi, C. P., Freire, N. P., Fagundes, M. C. M., Minayo, M. C. S., & Cunha, I. C. K. O. (2022). Fake News and vaccine hesitancy in the COVID-19 pandemic in Brazil.. Cien Saude Colet, 27(5), 1849-1858. https://doi.org/10.1590/1413-81232022275.24092021
01/05/2022 Lire →

Does media slant polarize compliance with science-based public health recommendations? Effects of media consumption patterns on COVID-19 attitudes and behaviors in the United States.

Has political polarization undermined the media' informational role during the COVID-19 pandemic? Recent studies show that politicized reporting from conservative media discouraged compliance with COV…

Polarisation politique et co-présence sociale numérique
Choi, Y., & Fox, A. M. (2022). Does media slant polarize compliance with science-based public health recommendations? Effects of media consumption patterns on COVID-19 attitudes and behaviors in the United States.. J Health Psychol, 27(6), 1331-1341. https://doi.org/10.1177/13591053211061413
01/05/2022 Lire →

Of pandemics, politics, and personality: The role of conscientiousness and political ideology in the sharing of fake news.

Sharing misinformation can be catastrophic, especially during times of national importance. Typically studied in political contexts, the sharing of fake news has been positively linked with conservati…

Polarisation politique et co-présence sociale numérique
Lawson, M. A., & Kakkar, H. (2022). Of pandemics, politics, and personality: The role of conscientiousness and political ideology in the sharing of fake news.. J Exp Psychol Gen, 151(5), 1154-1177. https://doi.org/10.1037/xge0001120
01/05/2022 Lire →

Beliefs About COVID-19 in Canada, the United Kingdom, and the United States: A Novel Test of Political Polarization and Motivated Reasoning.

What are the psychological consequences of the increasingly politicized nature of the COVID-19 pandemic in the United States relative to similar Western countries? In a two-wave study completed early …

Polarisation politique et co-présence sociale numérique
Pennycook, G., McPhetres, J., Bago, B., & Rand, D. G. (2022). Beliefs About COVID-19 in Canada, the United Kingdom, and the United States: A Novel Test of Political Polarization and Motivated Reasoning.. Pers Soc Psychol Bull, 48(5), 750-765. https://doi.org/10.1177/01461672211023652
01/05/2022 Lire →

An ensemble deep learning classifier for sentiment analysis on code-mix Hindi-English data.

Code-mixing on social media is a trend in many countries where people speak multiple languages, such as India, where Hindi and English are major communication languages. Sentiment analysis is benefici…

Polarisation politique et co-présence sociale numérique
Pradhan, R., & Sharma, D. K. (2022). An ensemble deep learning classifier for sentiment analysis on code-mix Hindi-English data.. Soft comput, 1-18. https://doi.org/10.1007/s00500-022-07091-y
23/04/2022 Lire →

From science to politics: COVID-19 information fatigue on YouTube.

OBJECTIVE: The COVID-19 pandemic is the first pandemic where social media platforms relayed information on a large scale, enabling an "infodemic" of conflicting information which undermined the global…

Polarisation politique et co-présence sociale numérique
Shi, C. F., So, M. C., Stelmach, S., Earn, A., Earn, D. J. D., & Dushoff, J. (2022). From science to politics: COVID-19 information fatigue on YouTube.. BMC Public Health, 22(1), 816. https://doi.org/10.1186/s12889-022-13151-7
23/04/2022 Lire →

Analyzing sentiments and themes on cannabis in Canada using 2018 to 2020 Twitter data.

INTRODUCTION: The Canadian Cannabis Act came into effect on October 17, 2018, which allowed Canadian adults to consume cannabis for non-medical purposes (Government of Canada, Cannabis regulations (SO…

Polarisation politique et co-présence sociale numérique
Najafizada, M., Rahman, A., Donnan, J., Dong, Z., & Bishop, L. (2022). Analyzing sentiments and themes on cannabis in Canada using 2018 to 2020 Twitter data.. J Cannabis Res, 4(1), 22. https://doi.org/10.1186/s42238-022-00132-1
13/04/2022 Lire →

Filter bubble effect in the multistate voter model.

Social media influence online activity by recommending to users content strongly correlated with what they have preferred in the past. In this way, they constrain users within filter bubbles strongly …

Polarisation politique et co-présence sociale numérique
Iannelli, G., De, M. a. r. z. o. . G., & Castellano, C. (2022). Filter bubble effect in the multistate voter model.. Chaos, 32(4), 043103. https://doi.org/10.1063/5.0079135
01/04/2022 Lire →

Trust in the U.S. Government and Its Health Agencies in the Time of COVID-19.

This article examines the factors affecting Americans' trust in their federal government and its health agencies during the COVID-19 public health crisis. More specifically, we examine the evolution o…

Polarisation politique et co-présence sociale numérique
Geisterfer-Black, M., Niemi, T., Neier, L., & Rodwin, V. G. (2022). Trust in the U.S. Government and Its Health Agencies in the Time of COVID-19.. Epidemiologia (Basel), 3(2), 148-160. https://doi.org/10.3390/epidemiologia3020012
22/03/2022 Lire →

Understanding user responses to the COVID-19 pandemic on Twitter from a terror management theory perspective: Cultural differences among the US, UK and India.

This study uses a new approach to understand people's varied responses to the COVID-19 pandemic. Heightened media coverage and surging death tolls undoubtedly increase individuals' death-related thoug…

Polarisation politique et co-présence sociale numérique
Kwon, S., & Park, A. (2022). Understanding user responses to the COVID-19 pandemic on Twitter from a terror management theory perspective: Cultural differences among the US, UK and India.. Comput Human Behav, 128, 107087. https://doi.org/10.1016/j.chb.2021.107087
01/03/2022 Lire →

Who has a beef with reducing red and processed meat consumption? A media framing analysis.

OBJECTIVE: Diets high in red and processed meat (RPM) contribute substantially to environmental degradation, greenhouse gas emissions and the global burden of chronic disease. High-profile reports hav…

Polarisation politique et co-présence sociale numérique
Sievert, K., Lawrence, M., Parker, C., Russell, C. A., & Baker, P. (2022). Who has a beef with reducing red and processed meat consumption? A media framing analysis.. Public Health Nutr, 25(3), 578-590. https://doi.org/10.1017/S1368980021004092
01/03/2022 Lire →

COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment-Based Topic Modeling.

BACKGROUND: COVID-19 vaccines are one of the most effective preventive strategies for containing the pandemic. Having a better understanding of the public's conceptions of COVID-19 vaccines may aid in…

Polarisation politique et co-présence sociale numérique
Huangfu, L., Mo, Y., Zhang, P., Zeng, D. D., & He, S. (2022). COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment-Based Topic Modeling.. J Med Internet Res, 24(2), e31726. https://doi.org/10.2196/31726
08/02/2022 Lire →