DLCLApr 12, 2021

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

arXiv:2104.05409v110 citations
Originality Synthesis-oriented
AI Analysis

It addresses knowledge barriers and information inequalities between academic and social communities during pandemics, but is incremental as it applies existing methods to new data.

This paper compared academic and social communication preferences regarding global pandemics by analyzing topics and sentiments in 50,338 articles and 927,266 tweets, revealing differences in research recognition consistency and topic preferences between researchers and the public.

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.

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