作为一种被动传感器来识别意见领袖的X:一种平衡可见性和社区参与的新方法
1Department of Communication and Economics, University of Modena and Reggio Emilia, 42121 Reggio Emilia, Italy.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
在X (以前的Twitter) 上识别论领袖需要的不仅仅是追随者数量. 这项研究表明,将可见性和社区参与度量相结合,可以有效地确定有影响力的用户,这对于社交媒体策略至关重要.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 沟通研究 沟通研究
背景情况:
- 识别意见领袖对于塑造社会态度至关重要.
- 传统的指标,如追随者数,由于虚假账户和机器人而不可靠.
- X (以前的Twitter) 提供了作为一种被动传感器的潜力,用于识别有影响力的个人.
研究的目的:
- 提出和评估一种新的方法来识别X的论领袖.
- 解决传统指标在识别真正影响力的局限性.
- 为了利用X作为一种被动传感器来检测社会影响.
主要方法:
- 将可见性和社区参与度的综合措施用于识别论领袖.
- 利用大约400万条推特进行实验评估.
- 仅仅评估追随者数量和帖子频率的不足.
主要成果:
- 仅仅依靠追随者数或帖子频率是不足以准确识别意见领袖的.
- 意见领袖有效地建立社区,并围绕特定主题获得知名度.
- 拟议的方法在传统指标上显示出了实质性的优势.
结论:
- X 作为一种有效的被动传感器,用于识别意见领袖.
- 可见性和参与度的结合方法提供了一个更准确的识别方法.
- 这项研究有利于在政治运动,品牌监测和决策中使用社交媒体沟通策略.
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