网络框架的动态:基于流行大数据的政府媒体与微博公众的自动框架分析。

IF 3.4 2区文学 Q1 COMMUNICATION

Journalism & Mass Communication Quarterly Pub Date : 2023-03-01 DOI:10.1177/10776990211072508

Xinyan Zhao, Xiaohui Wang

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引用次数: 3

摘要

网络框架关注的是公众如何成为社交媒体的看门人。为了揭示网络框架的动态，我们进行了自动框架分析，以确定新冠肺炎大流行期间政府媒体(N = 12090)和公众(N = 149万)在微博上的框架结构的变化。我们发现，政府媒体和公众之间的框架一致程度适中，在大流行的初始阶段观察到高度分歧。公众通过部署独特的框架功能和创造新的框架来挑战政府媒体框架，但他们的框架网络相对于政府媒体是碎片化的，政府媒体构建了一个有凝聚力的框架网络，以加强话语控制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dynamics of Networked Framing: Automated Frame Analysis of Government Media and the Public on Weibo With Pandemic Big Data.

Networked framing focuses on how the public becomes gatekeepers on social media. To unpack the dynamics of networked framing, we conducted an automated frame analysis to identify the shift of frame structures of government media (N = 12,090) and the public (N = 1.49 million) on Weibo during the COVID-19 pandemic. We found a moderate level of frame alignment between government media and the public, with high divergence observed during the pandemic's initial stage. The public challenged government media frames by deploying unique frame functions and creating new frames, but their frame network was fragmented relative to that of government media, which constructed a cohesive network of frames to enhance discursive control.

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来源期刊

Journalism & Mass Communication Quarterly COMMUNICATION-

CiteScore

7.20

自引率

5.60%

发文量

期刊介绍： Journalism & Mass Communication Quarterly focuses on research in journalism and mass communication. Each issue features reports of original investigation, presenting the latest developments in theory and methodology of communication, international communication, journalism history, and social and legal problems. Journalism & Mass Communication Quarterly also contains book reviews. Refereed. Published four times a year.