Breaking Community Boundary: Comparing Academic and Social Communication Preferences regarding Global Pandemics

TL;DR

This study compares academic and social media communication preferences during COVID-19, revealing significant differences in research recognition and topic interests between researchers and the public through large-scale data analysis.

Contribution

It provides a comprehensive comparison of pandemic-related communication preferences between academic and social communities using large-scale data analysis.

Findings

Differences in research recognition between communities.

Distinct topic preferences in academic articles and tweets.

Confirmation of communication preference disparities via tweet analysis.

Abstract

The global spread of COVID-19 has caused pandemics to be widely discussed. This is evident in the large number of scientific articles and the amount of user-generated content on social media. This paper aims to compare academic communication and social communication about the pandemic from the perspective of communication preference differences. It aims to provide information for the ongoing research on global pandemics, thereby eliminating knowledge barriers and information inequalities between the academic and the social communities. First, we collected the full text and the metadata of pandemic-related articles and Twitter data mentioning the articles. Second, we extracted and analyzed the topics and sentiment tendencies of the articles and related tweets. Finally, we conducted pandemic-related differential analysis on the academic community and the social community. We mined the resulting data to generate pandemic communication preferences (e.g., information needs, attitude tendencies) of researchers and the public, respectively. The research results from 50,338 articles and 927,266 corresponding tweets mentioning the articles revealed communication differences about global pandemics between the academic and the social communities regarding the consistency of research recognition and the preferences for particular research topics. The analysis of large-scale pandemic-related tweets also confirmed the communication preference differences between the two communities.