Literature DB >> 33672122

Identifying and Analyzing Health-Related Themes in Disinformation Shared by Conservative and Liberal Russian Trolls on Twitter.

Amir Karami1, Morgan Lundy2, Frank Webb3, Gabrielle Turner-McGrievy4, Brooke W McKeever5, Robert McKeever5.   

Abstract

To combat health disinformation shared online, there is a need to identify and characterize the prevalence of topics shared by trolls managed by individuals to promote discord. The current literature is limited to a few health topics and dominated by vaccination. The goal of this study is to identify and analyze the breadth of health topics discussed by left (liberal) and right (conservative) Russian trolls on Twitter. We introduce an automated framework based on mixed methods including both computational and qualitative techniques. Results suggest that Russian trolls discussed 48 health-related topics, ranging from diet to abortion. Out of the 48 topics, there was a significant difference (p-value ≤ 0.004) between left and right trolls based on 17 topics. Hillary Clinton's health during the 2016 election was the most popular topic for right trolls, who discussed this topic significantly more than left trolls. Mental health was the most popular topic for left trolls, who discussed this topic significantly more than right trolls. This study shows that health disinformation is a global public health threat on social media for a considerable number of health topics. This study can be beneficial for researchers who are interested in political disinformation and health monitoring, communication, and promotion on social media by showing health information shared by Russian trolls.

Entities:  

Keywords:  Twitter; disinformation; health; text mining; topic modeling; trolls

Mesh:

Year:  2021        PMID: 33672122      PMCID: PMC7927016          DOI: 10.3390/ijerph18042159

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  18 in total

1.  Health Care in the 2016 Election - A View through Voters' Polarized Lenses.

Authors:  Robert J Blendon; John M Benson; Logan S Casey
Journal:  N Engl J Med       Date:  2016-10-27       Impact factor: 91.245

2.  The biggest pandemic risk? Viral misinformation.

Authors:  Heidi J Larson
Journal:  Nature       Date:  2018-10       Impact factor: 49.962

3.  YouTube: a good source of information on pediatric tonsillectomy?

Authors:  Julie E Strychowsky; Smriti Nayan; Forough Farrokhyar; Jonathan MacLean
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2013-04-15       Impact factor: 1.675

4.  The spread of true and false news online.

Authors:  Soroush Vosoughi; Deb Roy; Sinan Aral
Journal:  Science       Date:  2018-03-09       Impact factor: 47.728

Review 5.  Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review.

Authors:  Grace Shin; Mohammad Hossein Jarrahi; Yu Fei; Amir Karami; Nicci Gafinowitz; Ahjung Byun; Xiaopeng Lu
Journal:  J Biomed Inform       Date:  2019-03-23       Impact factor: 6.317

6.  Unfolding Physiological State: Mortality Modelling in Intensive Care Units.

Authors:  Marzyeh Ghassemi; Tristan Naumann; Finale Doshi-Velez; Nicole Brimmer; Rohit Joshi; Anna Rumshisky; Peter Szolovits
Journal:  KDD       Date:  2014-08-24

7.  From Social Media to Mainstream News: The Information Flow of the Vaccine-Autism Controversy in the US, Canada, and the UK.

Authors:  S Mo Jang; Brooke W Mckeever; Robert Mckeever; Joon Kyoung Kim
Journal:  Health Commun       Date:  2017-10-13

8.  Why, When and How to Adjust Your P Values?

Authors:  Mohieddin Jafari; Naser Ansari-Pour
Journal:  Cell J       Date:  2018-08-01       Impact factor: 2.479

9.  A New Application of Social Impact in Social Media for Overcoming Fake News in Health.

Authors:  Cristina M Pulido; Laura Ruiz-Eugenio; Gisela Redondo-Sama; Beatriz Villarejo-Carballido
Journal:  Int J Environ Res Public Health       Date:  2020-04-03       Impact factor: 3.390

10.  Systematic Literature Review on the Spread of Health-related Misinformation on Social Media.

Authors:  Yuxi Wang; Martin McKee; Aleksandra Torbica; David Stuckler
Journal:  Soc Sci Med       Date:  2019-09-18       Impact factor: 4.634

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  2 in total

1.  Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.

Authors:  Amir Karami; Alicia A Dahl; George Shaw; Sruthi Puthan Valappil; Gabrielle Turner-McGrievy; Hadi Kharrazi; Parisa Bozorgi
Journal:  Healthcare (Basel)       Date:  2021-04-29

2.  Public Attention and Sentiment toward Intimate Partner Violence Based on Weibo in China: A Text Mining Approach.

Authors:  Heng Xu; Jun Zeng; Zhaodan Tai; Huihui Hao
Journal:  Healthcare (Basel)       Date:  2022-01-20
  2 in total

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