Measuring the Diversity of Facebook Reactions to Research
January 04, 2020 ยท Declared Dead ยท ๐ Proc. ACM Hum. Comput. Interact.
"No code URL or promise found in abstract"
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Authors
Cole Freeman, Hamed Alhoori, Murtuza Shahzad
arXiv ID
2001.01029
Category
cs.SI: Social & Info Networks
Cross-listed
cs.CY
Citations
25
Venue
Proc. ACM Hum. Comput. Interact.
Last Checked
3 months ago
Abstract
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.
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