将基于社区的干预措施与在社交媒体平台上传播信息的全民反应进行比较
Chathura Jayalath1, Xiaoxia Champon2, William Rand3
1Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, USA.
概括
社区干预和全民战略对社交媒体上传播的信息的影响不同. 这项研究比较了这些方法,揭示了在线社区如何与信息互动和放大信息的不同模式,影响了公共话语.
科学领域:
- 社交媒体分析 社交媒体分析
- 信息传播动力学 信息传播动力学
- 计算社会科学 计算社会科学
背景情况:
- 信息传播在社交媒体社区和普通人群中各不相同.
- 了解这些差异对于有效的信息管理至关重要.
- 之前的研究往往忽略了信息传播中的社区特定动态.
研究的目的:
- 将基于社区的干预措施与管理信息传播的全民方法进行比较.
- 分析社交媒体群体内的时间动态和参与模式.
- 量化社区之间的差异,并确定叙事推广策略.
主要方法:
- 功能数据分析应用于Twitter活动 (帖子,转发).
- 检查社交媒体群体中的时间动态.
- 社区间差异的量化和叙事策略.
主要成果:
- 确定了社交媒体社区如何与信息互动和放大信息的独特模式.
- 揭示了有针对性的和广泛的方法之间的信息传播过程中的关键差异.
- 基于社区的干预与全人口干预的有效性有所不同.
结论:
- 基于社区和全人口的干预措施对信息传播产生不同的影响.
- 与塑造公共话语的广泛方法相比,有针对性的策略可能会产生不同的结果.
- 结果为评估社交媒体平台的干预有效性提供了一个框架.
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