在Instagram上的性别特异性同性恋以及对信息传播的影响
Yvonne-Anne Pignolet1, Stefan Schmid2,3, Arne Seelisch4
1DFINITY, Zurich, Switzerland. YvonneAnne.pignolet@gmail.com.
Scientific reports
|January 3, 2024
概括
女性用户在Instagram上表现出比男性用户更大的同性恋 (与相似的人结合),特别是在评论中. 这种性别差异影响了信息的传播,女性团体的内容能够接触到更多的女性.
科学领域:
- 计算社会科学 计算社会科学
- 网络科学 网络科学
- 人与计算机的交互
背景情况:
- 在线社交网络促进了大规模的人类互动,并为行为研究提供了新的数据.
- 同性恋,即倾向于与相似的人交往,已经得到了充分证实,但在线环境中的性别特异性差异仍未得到充分研究.
- 了解在线社交行为对于网络动态和信息传播至关重要.
研究的目的:
- 在Instagram上调查同性恋行为的性别特异性差异.
- 量化女性和男性用户之间的同性恋程度.
- 探索观察到的性别差异对社交网络中传播信息的影响.
主要方法:
- 分析了三年来超过80万次Instagram交互的大量数据集.
- 女性和男性用户之间的同性恋行为 (评论和类似互动) 的比较.
- 基于观察到的基于性别的同性恋模式,建模信息的传播.
主要成果:
- 与男性用户相比,女性Instagram用户的同性恋程度明显高.
- 同性恋中的这种性别不对称性在"评论"互动中比"喜欢"互动更明显.
- 来自女性用户群的信息比男性用户更有效地传播到其他女性用户.
结论:
- 在Instagram上的在线同性恋行为中存在显著的性别差异,女性表现出更强烈的倾向.
- 互动类型调节了性别同性恋的程度,突出了在线社会动态的细微差别.
- 观察到的同性恋模式对信息传播有可衡量的影响,可能会产生性别分离的信息流.
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