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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Dec 22, 2020
Date Accepted: Apr 14, 2021
Date Submitted to PubMed: May 20, 2021

The final, peer-reviewed published version of this preprint can be found here:

Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis

Rao A, Morstatter F, Hu M, Chen E, Burghardt K, Ferrara E, Lerman K

Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis

J Med Internet Res 2021;23(6):e26692

DOI: 10.2196/26692

PMID: 34014831

PMCID: 8204937

Political Partisanship and Anti-Science Attitudes in Online Discussions about COVID-19

  • Ashwin Rao; 
  • Fred Morstatter; 
  • Minda Hu; 
  • Emily Chen; 
  • Keith Burghardt; 
  • Emilio Ferrara; 
  • Kristina Lerman

ABSTRACT

Background:

The novel coronavirus pandemic continues to ravage communities across the US. Opinion surveys identified importance of political ideology in shaping perceptions of the pandemic and compliance with preventive measures.

Objective:

The aim of this study was to measure political partisanship and anti-science attitudes in the discussions about the pandemic on social media, as well as their geographic and temporal distribution.

Methods:

We analyze a large set of tweets related to the pandemic collected between January and May of 2020 and develop methods to classify the ideological alignment of users along the moderacy (hardline vs moderate), political (liberal vs conservative) and science (anti-science vs pro-science) dimensions.

Results:

We find that polarization along the science and political dimensions are correlated. Moreover, politically moderate users are more aligned with the pro-science views, while hardline users are more aligned with anti-science views. Contrary to expectations, we do not find that polarization grows over time; instead, we see increasing activity by moderate pro-science users. We also show that anti-science conservatives tend to tweet from the Southern and Northwestern US, while anti-science moderates from the Western states. The proportion of anti-science conservatives are found to correlate with COVID-19 cases.

Conclusions:

Our findings shed light on the multi-dimensional nature of polarization, and the feasibility of tracking polarized opinions about the pandemic across time and space through social media data.


 Citation

Please cite as:

Rao A, Morstatter F, Hu M, Chen E, Burghardt K, Ferrara E, Lerman K

Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis

J Med Internet Res 2021;23(6):e26692

DOI: 10.2196/26692

PMID: 34014831

PMCID: 8204937

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.

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