Abstract
Can nonnative English accents become barriers to garnering attention in public discourse? The current study examined this question. Analyzing 5,367 TED Talks through computational methodologies such as voice recognition, natural language processing, and vision models, we investigated the relationship between speakers’ accents and online engagement. After adjusting for various control variables with a series of robustness checks, we found a sizeable disparity in public discourse: Speakers with nonnative accents received less engagement than speakers with native accents. To complement our findings, we conducted a controlled social-psychological experiment among English-speaking American adults (N = 462) and a direct replication (N = 916) that corroborated our computational analyses and highlighted stereotyping and processing disfluency as key factors driving reduced engagement in accented speakers. Our research highlights the pervasive impact of accent discrimination in global communication and emphasizes the need for strategies to mitigate its detrimental effects on knowledge exchange across cultural and linguistic boundaries.
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