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Home > Archives > Vol. 11 No. 2 (2026): Publishing > Research Articles
ESP-4524

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2026-02-13

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Vol. 11 No. 2 (2026): Publishing

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Research Articles

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Copyright (c) 2026 Yi Zhao, Suwei Yin

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Yi Zhao, & Suwei Yin. (2026). Big data analytics on the reinforcement of regional stereotypes and collective identity formation in cultural tourism short video diffusion. Environment and Social Psychology, 11(2), ESP-4524. https://doi.org/10.59429/esp.v11i2.4524
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Big data analytics on the reinforcement of regional stereotypes and collective identity formation in cultural tourism short video diffusion

Yi Zhao

Beijing International Studies University, Beijing,100024, China

Suwei Yin

Beijing Institute of Graphic Communication, Beijing,102600, China


DOI: https://doi.org/10.59429/esp.v11i2.4524


Keywords: culture and tourism short videos; big data algorithms; regional stereotypes; group identity; algorithmic recommendation; cognitive bias; group polarization; social identity theory


Abstract

Against the backdrop of short videos becoming the dominant medium for culture and tourism information dissemination, this study focuses on the dual mechanisms of regional stereotype reinforcement and group identity formation driven by big data algorithms. Employing a mixed-methods approach, through content analysis of 3,200 culture and tourism short videos, questionnaire surveys of 800 audiences, and in-depth interviews, this research systematically examines the interactive relationships among algorithmic recommendations, content production, and audience cognition. The findings reveal: First, culture and tourism short videos exhibit significant symbolic concentration characteristics, with natural landscapes, local cuisine, and folk customs accounting for 73.34% of symbols, while dramatized narratives and emotional appeal strategies are employed at rates exceeding 80%, providing a content foundation for stereotype reinforcement. Second, algorithmic recommendations drive content homogenization through information cocoons and echo chamber effects, with the content similarity index climbing from 0.342 to 0.891 within eight weeks and high-traffic content surging by 303%. Third, audience regional perceptions demonstrate systematic biases, with virtual and actual experiences differing by an average of 1.39 points in ratings, stemming from cognitive mechanisms such as availability heuristics and representativeness bias, moderated by identity backgrounds and media literacy. Fourth, group identity forms through three-level coordination: individual cognitive activation, group symbolic interaction, and platform technological support, with high-interaction users achieving identity strength of 8.62 points, accompanied by significant group polarization phenomena (polarization index increasing by 170%). Fifth, cross-regional interactions are driven by psychological motivations including self-esteem maintenance and uniqueness needs, manifesting diverse patterns of confrontation and cooperation across different contexts. This study reveals the deep coupling mechanism of technology, content, and psychological processes, providing theoretical foundations and practical insights for optimizing culture and tourism communication strategies and promoting diverse presentations of regional images.


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