衡量Facebook对研究反应的多样性（Social and Information Networks）
- 2020 年 1 月 8 日
- 笔记
在网络和现实世界中，围绕核心问题的情感共识将各种社区联系在一起。对科学发现的情感反应往往在这些核心问题中扮演着关键角色。当对科学问题有太多不同的意见时，情绪就会爆发，并引起冲突。这种冲突威胁着研究的积极成果。情绪，有能力塑造人们处理新信息的过程。它们可以影响公众对科学的理解，激发政策立场，甚至改变我们的生活。然而，利用定量方法来评估公众对科学的情感反应的工作却很少。在这篇论文中，我们使用Facebook上学术文章的回复数据集来分析情感效价、强度和多样性的动态。我们提出了一种新颖的方法来衡量基于点击的反应，以增加它们的可理解性，并使用这些加权反应来开发综合情绪反应的新指标。我们使用我们的指标以及LDA主题模型和统计测试来调查用户的情绪反应如何随着科学主题的不同而变化。我们发现，与其他研究主题相比，性别、遗传学或农业/环境科学相关的研究文章引起用户的情绪反应有着显著差异。我们还发现，Facebook上的科学研究通常会得到积极的回应，而令公众产生积极情绪反应的文章更有可能被广泛分享——这一结论与之前对其他社交媒体平台的研究相矛盾。
原文标题：Social and Information Networks：Measuring the Diversity of Facebook Reactions to Research
Online and in the real world, communities are bonded together by emotional consensus around core issues. Emotional responses to scientific findings often play a pivotal role in these core issues. When there is too much diversity of opinion on topics of science, emotions flare up and give rise to conflict. This conflict threatens positive outcomes for research. Emotions have the power to shape how people process new information. They can color the public's understanding of science, motivate policy positions, even change lives. And yet little work has been done to evaluate the public's emotional response to science using quantitative methods. In this paper, we use a dataset of responses to scholarly articles on Facebook to analyze the dynamics of emotional valence, intensity, and diversity. We present a novel way of weighting click-based reactions that increases their comprehensibility, and use these weighted reactions to develop new metrics of aggregate emotional responses. We use our metrics along with LDA topic models and statistical testing to investigate how users' emotional responses differ from one scientific topic to another. We find that research articles related to gender, genetics, or agricultural/environmental sciences elicit significantly different emotional responses from users than other research topics. We also find that there is generally a positive response to scientific research on Facebook, and that articles generating a positive emotional response are more likely to be widely shared—a conclusion that contradicts previous studies of other social media platforms.
原文作者：Cole Freeman, Hamed Alhoori, Murtuza Shahzad
原文链接：https://arxiv.org/abs/2001.01029
