Information Retention in the Multi-platform Sharing of Science
Sohyeon Hwang, Em\H{o}ke-\'Agnes Horv\'at, Daniel M. Romero

TL;DR
This study analyzes how scientific information is retained or lost across multiple online platforms, revealing significant information loss over time but also that multi-platform discussions can enhance retention.
Contribution
It introduces a burst-based framework and a keyword-based measure to assess information retention across diverse online platforms in large-scale scientific discussions.
Findings
Low overall information retention in online science discussions
Significant differences in retention across platforms
Multi-platform sequences correlate with higher retention
Abstract
The public interest in accurate scientific communication, underscored by recent public health crises, highlights how content often loses critical pieces of information as it spreads online. However, multi-platform analyses of this phenomenon remain limited due to challenges in data collection. Collecting mentions of research tracked by Altmetric LLC, we examine information retention in the over 4 million online posts referencing 9,765 of the most-mentioned scientific articles across blog sites, Facebook, news sites, Twitter, and Wikipedia. To do so, we present a burst-based framework for examining online discussions about science over time and across different platforms. To measure information retention we develop a keyword-based computational measure comparing an online post to the scientific article's abstract. We evaluate our measure using ground truth data labeled by within field…
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Taxonomy
TopicsMisinformation and Its Impacts · Wikis in Education and Collaboration · Climate Change Communication and Perception
