Understanding the consumption of antimicrobial resistance–related content on social media: Twitter analysis
Understanding the consumption of antimicrobial resistance–related content on social media: Twitter analysis
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 stewardship, and enabling academics to effectively promote their research on social media.
Methods:
We took advantage of unrestricted access to the metrics associated with the Twitter bot @AntibioticResis, which has over 13,900 followers. This bot posts the latest AMR research in the format of a title and a URL link to the PubMed page for an article. The tweets do not contain other attributes such as author, affiliation, or journal. Therefore, engagement with the tweets is only affected by the words used in the titles. Using negative binomial regression models, we measured the impact of pathogen names in paper titles, academic attention inferred from publication counts, and general attention estimated from Twitter on URL clicks to AMR research papers.
Results:
Followers of @AntibioticResis consisted primarily of health care professionals and academic researchers whose interests comprised mainly AMR, infectious diseases, microbiology, and public health. Three World Health Organization (WHO) critical priority pathogens—Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacteriaceae—were positively associated with URL clicks. Papers with shorter titles tended to have more engagements. We also described some key linguistic characteristics that should be considered when a researcher is trying to maximize engagement with their publication.
Conclusions:
Our finding suggests that specific pathogens gain more attention on Twitter than others and that the levels of attention do not necessarily correspond to their status on the WHO priority pathogen list. This suggests that more targeted public health strategies may be needed to raise awareness about AMR among specific pathogens. Analysis of follower data suggests that in the busy schedules of health care professionals, social media offers a fast and accessible gateway to staying abreast of the latest developments in this field.
Kim, Hyunuk
b9b73991-f187-4ef2-856b-b861e1d8d51f
Proctor, Chris R
46031a5d-b2fd-4d3b-ab6b-7badb4b3cdf1
Walker, Dylan
4da75a40-7162-4588-b4a9-e38db0f04b48
McCarthy, Ronan R
0b2cf2e0-b0ff-4c92-aa04-92d91182d1f2
12 June 2023
Kim, Hyunuk
b9b73991-f187-4ef2-856b-b861e1d8d51f
Proctor, Chris R
46031a5d-b2fd-4d3b-ab6b-7badb4b3cdf1
Walker, Dylan
4da75a40-7162-4588-b4a9-e38db0f04b48
McCarthy, Ronan R
0b2cf2e0-b0ff-4c92-aa04-92d91182d1f2
Kim, Hyunuk, Proctor, Chris R, Walker, Dylan and McCarthy, Ronan R
(2023)
Understanding the consumption of antimicrobial resistance–related content on social media: Twitter analysis.
Journal of Medical Internet Research, 25.
(doi:10.2196/42363).
Abstract
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 stewardship, and enabling academics to effectively promote their research on social media.
Methods:
We took advantage of unrestricted access to the metrics associated with the Twitter bot @AntibioticResis, which has over 13,900 followers. This bot posts the latest AMR research in the format of a title and a URL link to the PubMed page for an article. The tweets do not contain other attributes such as author, affiliation, or journal. Therefore, engagement with the tweets is only affected by the words used in the titles. Using negative binomial regression models, we measured the impact of pathogen names in paper titles, academic attention inferred from publication counts, and general attention estimated from Twitter on URL clicks to AMR research papers.
Results:
Followers of @AntibioticResis consisted primarily of health care professionals and academic researchers whose interests comprised mainly AMR, infectious diseases, microbiology, and public health. Three World Health Organization (WHO) critical priority pathogens—Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacteriaceae—were positively associated with URL clicks. Papers with shorter titles tended to have more engagements. We also described some key linguistic characteristics that should be considered when a researcher is trying to maximize engagement with their publication.
Conclusions:
Our finding suggests that specific pathogens gain more attention on Twitter than others and that the levels of attention do not necessarily correspond to their status on the WHO priority pathogen list. This suggests that more targeted public health strategies may be needed to raise awareness about AMR among specific pathogens. Analysis of follower data suggests that in the busy schedules of health care professionals, social media offers a fast and accessible gateway to staying abreast of the latest developments in this field.
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More information
Published date: 12 June 2023
Identifiers
Local EPrints ID: 506174
URI: http://eprints.soton.ac.uk/id/eprint/506174
ISSN: 1438-8871
PURE UUID: 0ff49970-cf04-4e03-98f2-b710752231e0
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Date deposited: 29 Oct 2025 17:43
Last modified: 01 Nov 2025 03:12
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Contributors
Author:
Hyunuk Kim
Author:
Chris R Proctor
Author:
Dylan Walker
Author:
Ronan R McCarthy
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