1887
Volume 22, Issue 3
  • ISSN 1571-0718
  • E-ISSN: 1571-0726
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Abstract

Abstract

This study explores language attitudes towards as expressed in metalinguistic comments across social media platforms. Employing a quantitative approach, this research utilizes sentiment analysis, ordinal logistic regression, and multiple logistic regression models to uncover diverse sentiments and perceptions of across 21 Spanish-speaking countries and three social media platforms. The results indicate that attitudes toward are shaped by a constellation of factors, including its association with regional identity, the commenter’s country of origin, and localized social stigma directed at speakers. These findings highlight how social media platforms serve as globalized arenas where language ideologies are both reflected and actively shaped, as perceptions of are dynamically negotiated through cross-cultural online interactions, enabling the perpetuation of stigmatizing ideologies while simultaneously fostering opportunities for their contestation and reevaluation.

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2025-12-10
2026-01-13
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  • Article Type: Research Article
Keyword(s): language attitudes; social media; Voseo
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