Social and Behavioral Sciences Commons^™

Understanding The Consumption Of Antimicrobial Resistance–Related Content On Social Media: Twitter Analysis, Hyunuk Kim, Chris R. Proctor, Dylan Walker, Ronan R. Mccarthy

Business Faculty Articles and Research

Background: Antimicrobial resistance (AMR) is one of the most pressing concerns in our society. Today, social media can function as an important channel to disseminate information about AMR. The way in which this information is engaged with depends on a number of factors, including the target audience and the content of the social media post.

Objective: The aim of this study is to better understand how AMR-related content is consumed on the social media platform Twitter and to understand some of the drivers of engagement. This is essential to designing effective public health strategies, raising awareness about antimicrobial …

If A Tree Falls In The Forest: Presidential Press Conferences And Early Media Narratives About The Covid-19 Crisis, Masha Krupenkin, Kai Zhu, Dylan Walker, David Rothschild

Business Faculty Articles and Research

Throughout the COVID-19 crisis, as we confronted questions about social distancing, masking wearing, and vaccines, public safety experts warned that the consequences of a misinformed population would be particularly dire due to the serious nature of the threat and necessity of severe collective action to keep the population safe. Thus, the media and the political elites (e.g., President of the United States) who possess the power to set the information agenda around COVID-19 bear a huge responsibility for the general welfare. Through automated text analysis of complete transcripts of national cable, network, and local news, we explore their narratives surrounding …

Leveraging Volunteer Fact Checking To Identify Misinformation About Covid-19 In Social Media, Hyunuk Kim, Dylan Walker

Business Faculty Articles and Research

Identifying emerging health misinformation is a challenge because its manner and type are often unknown. However, many social media users correct misinformation when they encounter it. From this intuition, we implemented a strategy that detects emerging health misinformation by tracking replies that seem to provide accurate information. This strategy is more efficient than keyword-based search in identifying COVID-19 misinformation about antibiotics and a cure. It also reveals the extent to which misinformation has spread on social networks.