对Telegram的叙事内容进行了计算分析,证明了这一点
1Brussels School of Governance, Vrije Universiteit Brussel, Brussels, Belgium.
PloS one
|November 14, 2023
概括
这项研究揭示了Telegram频道创造了多样化的叙事概况,挑战了传统的讲故事方式. 不同的频道主题,如阴谋或加密货币,与不同的叙事风格相关,显示平台功能如何塑造在线叙事.
科学领域:
- 计算社会科学 计算社会科学
- 数字通信数字通信
- 叙事研究 叙事研究
背景情况:
- 在Telegram上的公共消息通道促进了单向通信.
- 了解这些平台中的叙事构造对于数字通信研究至关重要.
- 现有的研究缺乏对Telegram上的叙事资料的经验分析.
研究的目的:
- 实证地调查公共Telegram频道的叙事概况.
- 测试Telegram频道是否表现出与平台功能使用相关的多样化叙事配置文件.
- 确定主题频道网络是否表现出明显的叙事概况趋势.
主要方法:
- 分析了来自五个主题网络的492个公共Telegram频道的2,724,187条消息.
- 开发一种基于叙事连续性的计算方法来对消息进行分类.
- 通过评估信息是否符合周围内容来评估叙事概况.
主要成果:
- 电报频道提供了几种不同的叙事简介,经常挑战传统的叙事连贯性.
- 与阴谋论和极右翼反文化相关的频道显示,他们更喜欢不同的叙事概况.
- 加密货币频道倾向于连贯的个人资料,而关于乌克兰战争的虚假信息频道展示了混合类型.
结论:
- 在Telegram上的平台功能使用户能够以各种方式构建和塑造在线叙事.
- 主题导向显著影响了Telegram频道采用的叙事概况.
- 这些发现有助于理论化平台负担能力和在线叙事构建之间的相互作用.
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