The Threshold of Sympathy: Who is the Ideal Victim in the Online Public Opinion Arena? Based on QCA Analysis on 35 Hot Topic Cases

CHEN Junni, BAI Jingyu

Chinese Journal of Journalism & Communication ›› 2025, Vol. 47 ›› Issue (10) : 132-156.

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Chinese Journal of Journalism & Communication ›› 2025, Vol. 47 ›› Issue (10) : 132-156.
Research Articles

The Threshold of Sympathy: Who is the Ideal Victim in the Online Public Opinion Arena? Based on QCA Analysis on 35 Hot Topic Cases

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Abstract

In today’s internet society, sympathy remains an important force driving social integration. However, to transform the observation of others’ pain into social cohesion, it is necessary to first clarify the “threshold” issue of sympathy in the online public opinion area, which is the practical question of how the structure of “Chinese-characteristic” ideal victims is perceived. This study selected 35 cases during 2017 to 2023 based on purposive sampling from the internet society’s hot topic aggregation platform. It employed the crisp-set qualitative comparative analysis (csQCA) method to determine four pathways for constructing the image of ideal victims and distilled four structural characteristics of ideal victims. Based on that, this study attempts to figure out the power dynamics in the arena of sympathy expression among the online public, media, and victims from a micro-political perspective to explain the emergence of sympathy thresholds and proposes the respective sympathy responsibilities of each entity to contribute to achieving the ultimate goal of social cohesion through sympathy.

Key words

Ideal victim / sympathy threshold / power / moral responsibility

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CHEN Junni , BAI Jingyu. The Threshold of Sympathy: Who is the Ideal Victim in the Online Public Opinion Arena? Based on QCA Analysis on 35 Hot Topic Cases[J]. Chinese Journal of Journalism & Communication. 2025, 47(10): 132-156

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Footnotes

1. 本研究选取的案例在知微事见平台中的影响力指数均超过60。

2. 本文将这个起始点确定于2017年,既是基于理想受害者的讨论渐起于这一年,更重要的是,在这7年里的社会热点事件从条件组合角度已经构成具有一定代表性和变异性的样本量,本研究结果的解释力也在一定程度上证明了这一点。

Funding

National Social Science Fund “Research on the Generation Mechanism, Ethical Risks, and Countermeasures of Public Sympathy Fatigue in the Online Public Opinion Space”(22BXW02)
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