What question did this study set out to answer?

To evaluate social media policy communication dynamics and underlying transmission mechanisms by integrating text mining with social network analysis.

August 19, 2026SystemsOpen Access

A Convergent Perspective on Policy Communication on Social Media: A Mixed-Methods Approach Using Text Mining and Social Network Analysis

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Authors

ZYZenglei Yue GYGuang Yu

Discussion

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Overview

Mixed-methods analysis reveals centralized broadcasting and decentralized engagement in social media policy communication, highlighting patterns consistent with spiral of silence theory.

Key Points

To evaluate social media policy communication dynamics and underlying transmission mechanisms by integrating text mining with social network analysis.
Analyzed social media posts and user interactions surrounding China’s Mass Entrepreneurship and Innovation policy on Sina Weibo.
Combined text mining (content, thematic, and sentiment analysis) with social network analysis (network topology, community structure, and bridging node detection).
Official communicators dominated overall transmission breadth, whereas ordinary audiences drove interactive depth, demonstrating a centralized broadcasting and decentralized engagement pattern.
Influential key users expressed significantly more positive sentiment than ordinary audiences, while bridging nodes facilitated inter-community communication with less polarized content.
Individuals with dissenting or deviating viewpoints tended to shift toward lower-visibility forms of participation, aligning with behavioral corollaries of the Spiral of Silence Theory.

Cite This Study

Yue et al. (2026) studied this question.

synapsesocial.com/papers/6a8563d703308d306e2d7337 https://doi.org/10.3390/systems14081013

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August 19, 2026SystemsOpen Access

A Convergent Perspective on Policy Communication on Social Media: A Mixed-Methods Approach Using Text Mining and Social Network Analysis

View Full Paper

Ask AI

Bookmark

Authors

ZYZenglei Yue GYGuang Yu

Discussion

Member takes

Overview

Mixed-methods analysis reveals centralized broadcasting and decentralized engagement in social media policy communication, highlighting patterns consistent with spiral of silence theory.

Key Points

To evaluate social media policy communication dynamics and underlying transmission mechanisms by integrating text mining with social network analysis.
Analyzed social media posts and user interactions surrounding China’s Mass Entrepreneurship and Innovation policy on Sina Weibo.
Combined text mining (content, thematic, and sentiment analysis) with social network analysis (network topology, community structure, and bridging node detection).
Official communicators dominated overall transmission breadth, whereas ordinary audiences drove interactive depth, demonstrating a centralized broadcasting and decentralized engagement pattern.
Influential key users expressed significantly more positive sentiment than ordinary audiences, while bridging nodes facilitated inter-community communication with less polarized content.
Individuals with dissenting or deviating viewpoints tended to shift toward lower-visibility forms of participation, aligning with behavioral corollaries of the Spiral of Silence Theory.

Cite This Study

Yue et al. (2026) studied this question.

synapsesocial.com/papers/6a8563d703308d306e2d7337 https://doi.org/10.3390/systems14081013

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