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Public Sentiment Towards Interactive Art on Multi-Modal Social Media

Insights from Jiangsu Province

Bibliographic Data

ID22006351
AuthorsShunfeng Zhang (0000-0003-0203-9040, Jiangnan University), Jiaxuan Gong (0009-0000-8347-1630, Jiangnan University), Haodong Wu (0000-0003-4830-4970, Jiangnan University), Zhengyang Lu (0000-0002-1540-0678, Jiangnan University, corresponding author), Wenjing Zhang (0000-0002-1810-791X, Jiangnan University)
Year2026
Volume16
Issue1
Publication date2026-01-01
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440251413067
OpenAlexW7124468361
LanguageEN
References cited29

This study presents a novel multi-modal approach analyzing public sentiment towards interactive art across Jiangsu Province using social media data. By integrating computer vision and NLP techniques (fine-tuned Qwen-VL for image captioning and prompt-based LLMs for sentiment analysis), we capture nuanced digital representations of artworks and public reactions. Findings reveal complex spatial patterns challenging traditional urban-rural dichotomies and highlighting Jiangsu’s polycentric cultural innovation. Urban centers focus on technological aspects and critical discourse, while peripheral areas emphasize thematic content and audience engagement. Correlation analysis reveals relationships between socioeconomic factors and digital art engagement, reflecting cultural capital and digital divide theories. These patterns invite re-examination of China’s cultural development through postreform urbanization theories, suggesting place-based policies that recognize diverse strengths across the urban-rural continuum. This research contributes to cultural democratization debates and offers a replicable framework for data-driven cultural policy-making

Democratization · Dichotomy · Digital media · Semiotics · Social capital · Social media · Socioeconomic status · Thematic analysis · Urbanization · Aesthetic Perception and Analysis · Cultural Industries and Urban Development · Digital Media and Visual Art

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