Post-truth politics vs. newspaper coverage: the COVID-19 pandemic and transnational human migration in Canada, the United States and the United Kingdom
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Notice bibliographique
Résumé
Introduction In the context of a presumed post-truth world where emotion and ideology increasingly shape public discourse, this study explores the media’s role in constructing and disseminating narratives about transnational human migration. The COVID-19 pandemic added a new layer of complexity, biologically securitizing mobility at a time when migration was already framed by xenophobia and securitization in the Western world. This study investigates how major newspapers in Canada, the United States, and the United Kingdom covered migration during the first year of the pandemic, revealing how media constructions reflected and reinforced national attitudes. Methods A mixed-method discursive analysis was conducted on 225 articles (25 from each of nine major newspapers) from January 1 to December 31, 2020, selected for their topical relevance through the Factiva database. Articles were categorized quantitatively by topic and sentiment and qualitatively analyzed using constant comparison methods. The study focused on recurring topics, dominant narratives, and sentiment orientations (positive, neutral, neutral-negative, or negative) to identify country-specific media ‘truths’ about migration during the pandemic. Results Distinct national patterns emerged. Canadian newspapers exhibited largely positive or neutral portrayals of migrants, highlighting their economic and social contributions. U.S. coverage was polarized, reflecting both supportive and hostile attitudes, especially regarding Latin American migration and the Title 42 policy. U.K. articles were more frequently negative or securitized, especially concerning Channel crossings. Across all countries, themes of migrant precarity, humanitarian solidarity, and essential labor during COVID-19 were common, yet framed differently depending on national context and media sentiment. Discussion The findings illustrate how media in post-truth societies selectively constructed ‘truths’ about migration during a global crisis. While Canadian media maintained a largely humanitarian and pragmatic framing, U.S. and U.K. media leaned toward narratives of threat and economic burden. These constructions reflect deeper societal and political cleavages, where media act as both agents and arenas of discursive influence. The research underscores the importance of media literacy and critical discourse analysis in unpacking the role of journalism in shaping migration politics during times of uncertainty.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle