平台媒介环境下新闻信源的可见性分配——基于微博三事件的内容分析

Visibility Distribution of News Sources in Platform Media Environments—A Content Analysis of Three Weibo Events

摘要: 平台媒介环境中，不同类型新闻信源的可见性分配呈现怎样的格局？本研究选取滴滴出行系统故障(技术事故)、儿童呼吸道疾病高发(公共卫生危机)、直播带货消费维权争议(社会文化争议)三个事件，对733条帖子进行量化内容分析。发现事件类型对新闻框架、信源类型和情感均具显著约束力；自媒体/KOL互动中位数最高(85)；官方信源96.0%仅以二级可见性存在。回归显示“情绪化标题”(β = 1.21)与“经济后果”(β = 0.78)是互动量最强预测因子。本文认为平台环境下的信源可见性并非传统新闻价值的自然延伸，而是事件话语结构与平台算法驯化机制双重力量重构的结果。

Abstract: In platform media environments, what kind of patterns characterize the visibility distribution among different types of news sources? This study examines 733 posts through a quantitative content analysis across three typical events: the Didi Chuxing system outage (a technical accident), the surge in pediatric respiratory diseases (a public health crisis), and consumer rights disputes in livestream e-commerce (a socio-cultural controversy). The findings reveal that the type of event exerts a significant structural constraint on news frames, source selection, and emotional tendencies. Notably, self-media/Key Opinion Leaders (KOLs) yielded the highest median engagement (85), whereas 96.0% of official sources manifested exclusively through secondary visibility. Regression analysis indicates that “emotional headlines” (β =1.21) and the “economic consequences frame” (β = 0.78) serve as the most powerful predictors of user interaction. This study concludes that source visibility within the platform ecosystem is not a spontaneous extension of traditional news values, but rather the product of structural reconfigurations shaped by the interplay between event-discursive structures and platform algorithmic domestication mechanisms.