The following article was recently posted on arXiv.
Title
Shared Feelings: Understanding Facebook Reactions to Scholarly Articles
Authors
Cole Freeman
Northern Illinois University
Mrinal Kanti Roy
Northern Illinois University
Michele Fattoruso
Northern Illinois University
Hamed Alhoori
Northern Illinois University
Source
via arXiv
Abstract
Research on social-media platforms has tended to rely on textual analysis to perform research tasks. While text-based approaches have significantly increased our understanding of online behavior and social dynamics, they overlook features on these platforms that have grown in prominence in the past few years: click-based responses to content. In this paper, we present a new dataset of Facebook Reactions to scholarly content. We give an overview of its structure, analyze some of the statistical trends in the data, and use it to train and test two supervised learning algorithms. Our preliminary tests suggest the presence of stratification in the number of users following pages, divisions that seem to fall in line with distinctions in the subject matter of those pages.
Direct to Full Text Articles (4 pages; PDF)
Note: The paper will be presented at the ACM/IEEE Joint Conference on Digital Libraries.
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