开源,实验性的社交媒体模拟软件的入门:错误信息研究的机会和超越
Arvin Jagayat1, Becky L Choma1
1Toronto Metropolitan University, Canada.
Current opinion in psychology
|December 4, 2023
概括
社交媒体模拟软件 (SMSS) 帮助研究人员收集行为数据. 本综述比较了三种SMSS工具,提供了对其用于研究错误信息等在线危害的见解.
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
- 人与计算机的交互
背景情况:
- 社交媒体模拟软件 (SMSS) 能够收集用户行为数据.
- 一个SMSS的子集促进实验观察用户与内容和界面的互动.
- SMSS可以提供对算法和设计对用户行为的影响的因果证据,包括在线伤害.
研究的目的:
- 审查和比较三个著名的社交媒体模拟软件 (SMSS) 平台.
- 为研究中有效使用SMSS提供建议.
- 提供关于SMSS未来发展和应用的观点.
主要方法:
- 三个SMSS的比较分析: (错误) 信息游戏,模拟社交媒体网站工具和杜鲁门平台.
- 评估SMSS在模拟用户与社交媒体内容和接口的交互方面的能力.
- 审查SMSS研究算法影响和在线伤害的潜力.
主要成果:
- 确定审查的SMSS平台之间的关键相似之处和差异.
- 评估不同SMSS对特定研究问题的适用性,特别是关于错误信息.
- 讨论使用SMSS的研究人员的实际建议.
结论:
- SMSS提供了一种有价值的方法来研究社交媒体对行为和在线伤害的影响.
- 选择SMSS取决于具体的研究目标,例如调查错误信息或算法效应.
- 进一步开发SMSS对于推动数字媒体和在线行为研究至关重要.
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