Communities of attention networks: introducing qualitative and conversational perspectives for altmetrics
Ronaldo Ferreira Araujo

TL;DR
This paper introduces the concept of Communities of Attention Networks (CAN) to analyze how scientific papers spread and are recommended on Twitter, revealing social dynamics and the impact of online activism.
Contribution
It presents a novel qualitative and conversational approach to altmetrics, analyzing community formation and interactions around scientific papers on social media.
Findings
High spreading and recommendation levels observed for the case study paper.
Users sharing the paper have diverse profiles, including personal, civic, and political interests.
The paper's altmetric score is driven by its use as an online activism and advocacy tool.
Abstract
We propose to analyze the level of recommendation and spreading in the sharing of scientific papers on Twitter to understand the interactions of communities around papers and to develop the "Community of Attention Network" (CAN). In this paper, a pilot case study was conducted for the paper 'Pharmacological Treatment of Obesity' authored by Mancini & Halpern (2002), an extensive review of the criteria for evaluating the efficacy of anti-obesity treatments and derived pharmacological agents. The altmetric data was collected from Altmetric.com and the description information for each tweeter was extracted from their Twitter profiles. The data were analyzed with Microanalysis Of Online Data perspective to investigate the formation of a CAN around this focal paper and the context of its formation. The studied article received 736 tweets from 134 different users with a combined exposure of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
