将你的研究从X转移到Mastodon? 这是你需要知道的
Roel Roscam Abbing1, Robert W Gehl2
1Malmö University, Malmö, Sweden.
Patterns (New York, N.Y.)
|January 24, 2024
概括
计算社会科学家在考虑Mastodon和 fediverse时面临着挑战. 这项研究突出了 fediverse 和 X 之间的关键差异,建议研究 *与* fediverse,而不是 *在*它.
科学领域:
- 计算社会科学 计算社会科学
- 数字社会学 数字社会学
- 网络科学 网络科学
背景情况:
- 埃隆·马斯克收购Twitter/X引发了关于社会科学研究替代平台的讨论.
- 马斯托登和更广泛的fediverse已经成为潜在的替代品,提供分散的社交网络.
- 对于考虑平台转换的研究人员来说,了解fediverse的独特特征至关重要.
研究的目的:
- 批判性地评估Mastodon和 fediverse作为计算社会科学研究平台的适用性.
- 描述X的集中式架构和fediverse的分散性之间的基本差异.
- 为研究人员提供指导,如何在fediverse生态系统内以道德和有效的方式进行研究.
主要方法:
- 对平台架构的比较分析 (X与Fediverse).
- 检查数据可访问性,用户人口统计和治理模型.
- 关于适用于分散网络的研究方法的理论讨论.
主要成果:
- 与X相比,fediverse具有显著的结构和操作差异,影响了数据收集和分析.
- 分权化为用户隐私提供了潜在的好处,但对大规模数据聚合提出了挑战.
- 当前的联邦基础设施和规范可能与传统的计算社会科学研究范式不一致.
结论:
- 研究人员应该谨慎地接近fediverse,认识到其独特的特征.
- 在联邦宇宙中进行有效的研究需要调整方法,并专注于与社区的合作.
- 未来的研究应该探索研究去中心化的社交网络的新方法,优先考虑道德参与.
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