X(Twitter)上“一带一路”议题的媒体间互动机制——基于指数随机图模型的实证分析

时伟, 黄文昕

国际新闻界 ›› 2025, Vol. 47 ›› Issue (1) : 155-176.

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国际新闻界 ›› 2025, Vol. 47 ›› Issue (1) : 155-176.
研究论文

X(Twitter)上“一带一路”议题的媒体间互动机制——基于指数随机图模型的实证分析

作者信息 +

Media Organizations’ Interaction Mechanism of “Belt and Road” Issue on X(Twitter): An Empirical Analysis Based on Exponential Random Graph Model

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摘要

国际传播不仅要重视“说了什么”和“怎么说”,更要重视“关系”的创建与维护。本研究以指数随机图模型为分析框架,以“一带一路”议题为案例,考察了X(原Twitter)上媒体账户的“情感”与“身份”属性对其互动关系创建的影响机制。结果表明,在情感上,消极情感抑制了互动的发出,被消极情感主导的媒体表现出“独白”式的言说倾向;积极情感具有同质性效应,被积极情感主导的媒体形成了联系紧密的“情感社群”。在身份上,共同的区域身份促进了互动的发出,“一带一路”合作国家媒体具有明显的外向性特征;并且区域身份具有同质性效应,“一带一路”合作国家媒体之间形成了联系紧密的“区域身份共同体”。理论上,研究阐明了情感与身份属性对媒体间互动的影响机制;实践上,研究为如何从“关系”视角开展国际传播工作提供启发。

Abstract

International communication should not only emphasize “what” and “how” to say, but also the creation and maintenance of “relationship”. Utilizing the exponential random graph model (ERGM) as a framework and taking the “Belt and Road” issue as a case, this study investigates the impact of “emotion” and “identity” attributes of media organizations on the creation of relationships between media accounts on X(Twitter). The results show that, from the perspective of emotion, negative emotion inhibits the sending of interactions, that is, media dominated by negative emotion show a tendency of monologue-style speech; positive emotion has a homogeneous effect, and media dominated by positive emotion forms a tightly-connected “emotional community”. From the perspective of identity, the identity of “Media in Belt and Road Cooperation Countries” facilitates the sending of interactions; the common regional identity has a homogeneous effect, which results in the creation of a closely-knit “regional identity community”. Theoretically, the study elucidates the mechanisms by which emotions and identity attributes influence interactions among media. Practically, the study provides insights into how to conduct international communication from a “relational” perspective.

关键词

一带一路 / 社交媒体 / 指数随机图模型 / 媒体账户属性 / 国际传播

Key words

Belt and Road / social media / exponential random graph model / media account attributes / international communication

引用本文

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时伟, 黄文昕. X(Twitter)上“一带一路”议题的媒体间互动机制——基于指数随机图模型的实证分析[J]. 国际新闻界. 2025, 47(1): 155-176
SHI Wei, HUANG Wenxin. Media Organizations’ Interaction Mechanism of “Belt and Road” Issue on X(Twitter): An Empirical Analysis Based on Exponential Random Graph Model[J]. Chinese Journal of Journalism & Communication. 2025, 47(1): 155-176

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注释 [Notes]

1. “中国一带一路网”是发布“一带一路”建设相关资讯的官方网站,网站列出了共建“一带一路”国家的全部名单并及时更新,本研究于2023年6月30日通过人工整理的方式获取了全部152个国家名单,参见 https://www.yidaiyilu.gov.cn/country


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