Literature DB >> 33315578

How Health Care Workers Wield Influence Through Twitter Hashtags: Retrospective Cross-sectional Study of the Gun Violence and COVID-19 Public Health Crises.

Ayotomiwa Ojo1, Sharath Chandra Guntuku2,3,4, Margaret Zheng4,5, Rinad S Beidas5, Megan L Ranney6.   

Abstract

BACKGROUND: Twitter has emerged as a novel way for physicians to share ideas and advocate for policy change. #ThisIsOurLane (firearm injury) and #GetUsPPE (COVID-19) are examples of nationwide health care-led Twitter campaigns that went viral. Health care-initiated Twitter hashtags regarding major public health topics have gained national attention, but their content has not been systematically examined.
OBJECTIVE: We hypothesized that Twitter discourse on two epidemics (firearm injury and COVID-19) would differ between tweets with health care-initiated hashtags (#ThisIsOurLane and #GetUsPPE) versus those with non-health care-initiated hashtags (#GunViolence and #COVID19).
METHODS: Using natural language processing, we compared content, affect, and authorship of a random 1% of tweets using #ThisIsOurLane (Nov 2018-Oct 2019) and #GetUsPPE (March-May 2020), compared to #GunViolence and #COVID19 tweets, respectively. We extracted the relative frequency of single words and phrases and created two sets of features: (1) an open-vocabulary feature set to create 50 data-driven-determined word clusters to evaluate the content of tweets; and (2) a closed-vocabulary feature for psycholinguistic categorization among case and comparator tweets. In accordance with conventional linguistic analysis, we used a P<.001, after adjusting for multiple comparisons using the Bonferroni correction, to identify potentially meaningful correlations between language features and outcomes.
RESULTS: In total, 67% (n=4828) of #ThisIsOurLane tweets and 36.6% (n=7907) of #GetUsPPE tweets were authored by health care professionals, compared to 16% (n=1152) of #GunViolence and 9.8% (n=2117) of #COVID19 tweets. Tweets using #ThisIsOurLane and #GetUsPPE were more likely to contain health care-specific language; more language denoting positive emotions, affiliation, and group identity; and more action-oriented content compared to tweets with #GunViolence or #COVID19, respectively.
CONCLUSIONS: Tweets with health care-led hashtags expressed more positivity and more action-oriented language than the comparison hashtags. As social media is increasingly used for news discourse, public education, and grassroots organizing, the public health community can take advantage of social media's broad reach to amplify truthful, actionable messages around public health issues. ©Ayotomiwa Ojo, Sharath Chandra Guntuku, Margaret Zheng, Rinad S Beidas, Megan L Ranney. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 06.01.2021.

Entities:  

Keywords:  COVID-19; Twitter; campaign; crisis; firearm injury; health care worker; influence; infodemiology; infoveillance; online advocacy; policy; public health; social media; tweet

Mesh:

Year:  2021        PMID: 33315578      PMCID: PMC7790125          DOI: 10.2196/24562

Source DB:  PubMed          Journal:  JMIR Public Health Surveill        ISSN: 2369-2960


  22 in total

1.  Twitter as a tool for communication and knowledge exchange in academic medicine: A guide for skeptics and novices.

Authors:  Esther K Choo; Megan L Ranney; Teresa M Chan; N Seth Trueger; Amy E Walsh; Ken Tegtmeyer; Shannon O McNamara; Ricky Y Choi; Christopher L Carroll
Journal:  Med Teach       Date:  2014-12-19       Impact factor: 3.650

2.  Malicious Actors on Twitter: A Guide for Public Health Researchers.

Authors:  Amelia M Jamison; David A Broniatowski; Sandra Crouse Quinn
Journal:  Am J Public Health       Date:  2019-03-21       Impact factor: 9.308

3.  Critical Supply Shortages - The Need for Ventilators and Personal Protective Equipment during the Covid-19 Pandemic.

Authors:  Megan L Ranney; Valerie Griffeth; Ashish K Jha
Journal:  N Engl J Med       Date:  2020-03-25       Impact factor: 91.245

4.  Understanding messaging preferences to inform development of mobile goal-directed behavioral interventions.

Authors:  Frederick Muench; Katherine van Stolk-Cooke; Jon Morgenstern; Alexis N Kuerbis; Kendra Markle
Journal:  J Med Internet Res       Date:  2014-02-05       Impact factor: 5.428

5.  Measuring Audience Engagement for Public Health Twitter Chats: Insights From #LiveFitNOLA.

Authors:  Kristina M Rabarison; Naomi K Englar; Connie L Bish; Shelbi M Flynn; Carolyn C Johnson; Merriah A Croston
Journal:  JMIR Public Health Surveill       Date:  2017-06-08

6.  Tracking Mental Health and Symptom Mentions on Twitter During COVID-19.

Authors:  Sharath Chandra Guntuku; Garrick Sherman; Daniel C Stokes; Anish K Agarwal; Emily Seltzer; Raina M Merchant; Lyle H Ungar
Journal:  J Gen Intern Med       Date:  2020-07-07       Impact factor: 5.128

7.  Twitter sentiment classification for measuring public health concerns.

Authors:  Xiang Ji; Soon Ae Chun; Zhi Wei; James Geller
Journal:  Soc Netw Anal Min       Date:  2015-05-12

8.  Studying expressions of loneliness in individuals using twitter: an observational study.

Authors:  Sharath Chandra Guntuku; Rachelle Schneider; Arthur Pelullo; Jami Young; Vivien Wong; Lyle Ungar; Daniel Polsky; Kevin G Volpp; Raina Merchant
Journal:  BMJ Open       Date:  2019-11-04       Impact factor: 2.692

Review 9.  Misinformation During the Coronavirus Disease 2019 Outbreak: How Knowledge Emerges From Noise.

Authors:  Bram Rochwerg; Rachael Parke; Srinivas Murthy; Shannon M Fernando; Jeanna Parsons Leigh; John Marshall; Neill K J Adhikari; Kirsten Fiest; Rob Fowler; François Lamontagne; Jonathan E Sevransky
Journal:  Crit Care Explor       Date:  2020-04-29

10.  Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends.

Authors:  May Oo Lwin; Jiahui Lu; Anita Sheldenkar; Peter Johannes Schulz; Wonsun Shin; Raj Gupta; Yinping Yang
Journal:  JMIR Public Health Surveill       Date:  2020-05-22
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  8 in total

1.  Global and Local Trends Affecting the Experience of US and UK Healthcare Professionals during COVID-19: Twitter Text Analysis.

Authors:  Ortal Slobodin; Ilia Plochotnikov; Idan-Chaim Cohen; Aviad Elyashar; Odeya Cohen; Rami Puzis
Journal:  Int J Environ Res Public Health       Date:  2022-06-04       Impact factor: 4.614

2.  Exploring Web-Based Twitter Conversations Surrounding National Healthcare Decisions Day and Advance Care Planning From a Sociocultural Perspective: Computational Mixed Methods Analysis.

Authors:  Tahleen A Lattimer; Kelly E Tenzek; Yotam Ophir; Suzanne S Sullivan
Journal:  JMIR Form Res       Date:  2022-04-13

3.  Smokers' Likelihood to Engage With Information and Misinformation on Twitter About the Relative Harms of e-Cigarette Use: Results From a Randomized Controlled Trial.

Authors:  Jessica Liu; Caroline Wright; Philippa Williams; Olga Elizarova; Jennifer Dahne; Jiang Bian; Yunpeng Zhao; Andy S L Tan
Journal:  JMIR Public Health Surveill       Date:  2021-12-21

4.  Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research.

Authors:  Zahra Shakeri Hossein Abad; Gregory P Butler; Wendy Thompson; Joon Lee
Journal:  JMIR Public Health Surveill       Date:  2022-02-14

5.  Public communication about public health where we really need to go.

Authors:  Megan L Ranney; Stefanie Friedhoff
Journal:  NPJ Digit Med       Date:  2022-03-08

6.  How to Harness the Power of Social Media for Quality Drug Information in Infectious Diseases: Perspectives on Behalf of the Society of Infectious Diseases Pharmacists.

Authors:  Kelli A Cole; Anna Y Zhou; Travis Jones; W Justin Moore; Elisabeth L Chandler; Veronica B Zafonte; Taylor Morrisette; Timothy P Gauthier; Jamie Kisgen; Amanda Barner; Melissa D Johnson; R Dawn Tagare; Julie Ann Justo
Journal:  Clin Infect Dis       Date:  2022-05-15       Impact factor: 20.999

7.  Sex and Location Differences in Verification Status of Physician-Held Social Media Platform Accounts.

Authors:  Deborah Rupert; Kanan Shah; Brian Y Chen; Avital Y O'Glasser; Michael Schiml; Shikha Jain; Fumiko Chino
Journal:  JAMA Netw Open       Date:  2022-08-01

8.  Comparison of Intercom and Megaphone Hashtags Using Four Years of Tweets From the Top 44 Schools of Nursing: Thematic Analysis.

Authors:  Kimberly Acquaviva
Journal:  JMIR Nurs       Date:  2021-04-20
  8 in total

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