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Public Health Messaging on Twitter During the COVID-19 Pandemic: Observational Study

Public Health Messaging on Twitter During the COVID-19 Pandemic: Observational Study

Affect provides reliable indicators for gauging public response to major events and policy decisions [44,45,71-73] and interacts with ideology to fuel polarization. Political scientists have identified affective polarization—a phenomenon where individuals like and trust members of their own party while disliking and distrusting members of opposing parties—as a significant threat to effective governance [74,75].

Ashwin Rao, Nazanin Sabri, Siyi Guo, Louiqa Raschid, Kristina Lerman

J Med Internet Res 2025;27:e63910

Exploring Novel Innovation Strategies to Close a Technology Gap in Neurosurgery: HORAO Crowdsourcing Campaign

Exploring Novel Innovation Strategies to Close a Technology Gap in Neurosurgery: HORAO Crowdsourcing Campaign

The 5 finalists proposed solutions based on multispectral time-resolved fluorescence spectroscopy, polarization-sensitive optical coherence tractography, machine-learned interpretation of red-green-blue images, using polarized light based on Mueller polarimetry, and wide-field Mueller polarimetry based on Lu-Chipman decomposition.

Philippe Schucht, Andrea Maria Mathis, Michael Murek, Irena Zubak, Johannes Goldberg, Stephanie Falk, Andreas Raabe

J Med Internet Res 2023;25:e42723

Peer Review of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”

Peer Review of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”

This is a peer-review report submitted for the paper “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study.” This paper [1] studies the polarization of COVID-19 discourse on Twitter using natural language processing (the Retweet-BERT method). The authors are interested in whether partisan users interact mostly with like-minded partisans and how polarized influential users are.

Shana Gadarian

JMIRx Med 2021;2(3):e32268

Peer Review of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”

Peer Review of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”

This is a peer-review report submitted for the paper “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study.” This paper [1] addresses the issue of political polarization on social media during the COVID-19 pandemic. The study analyzes Twitter data, applying word content and social network analysis. The paper demonstrates the partisan polarity of users and influencers and the presence of echo chambers.

Wayne Buente

JMIRx Med 2021;2(3):e32267

Authors’ Response to Peer Reviews of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”

Authors’ Response to Peer Reviews of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”

This is the authors’ response to peer-review reports for “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study.” First, we would like to thank this reviewer [1] for their insightful comments on our paper [2].

Julie Jiang, Xiang Ren, Emilio Ferrara

JMIRx Med 2021;2(3):e32266

Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study

Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study

Understanding the degree of polarization and the extent of echo chambers can help policymakers and public health officials effectively relay accurate information and debunk misinformation to the public. In this paper, we focused on the issue of COVID-19 and presented a large-scale empirical analysis on the prevalence of echo chambers and the effect of polarization on social media.

Julie Jiang, Xiang Ren, Emilio Ferrara

JMIRx Med 2021;2(3):e29570