Literature DB >> 29854205

Tracking Health Related Discussions on Reddit for Public Health Applications.

Albert Park1, Mike Conway1.   

Abstract

We use Reddit to demonstrate social media's potential for public health applications. First, we employ a lexicon-based approach to track the prevalence of keywords indicating public interest in Ebola, electronic cigarette, influenza, and marijuana. Second, to better understand the public reactions, we use the Latent Dirichlet Allocation algorithm, to identify either the general themes or motivations for extreme changes in the volume of discussion over time. We observe that discussions related to Ebola and influenza, infectious diseases of public health interests, surged when the first case of Ebola was diagnosed and a new strain of H1N1 influenza virus was confirmed in the United States. We also observed that discussions of a controversial health topic like marijuana increased with the announcement of a major change in United States federal policy. Discussions of electronic cigarette highlighted opportunities for better health education. Lastly, we discuss the implications of our findings for utilizing Reddit data for public health applications.

Entities:  

Mesh:

Year:  2018        PMID: 29854205      PMCID: PMC5977623     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  33 in total

1.  Predicting adverse drug events from personal health messages.

Authors:  Brant W Chee; Richard Berlin; Bruce Schatz
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  What can we learn about the Ebola outbreak from tweets?

Authors:  Michelle Odlum; Sunmoo Yoon
Journal:  Am J Infect Control       Date:  2015-06       Impact factor: 2.918

3.  Homophily of Vocabulary Usage: Beneficial Effects of Vocabulary Similarity on Online Health Communities Participation.

Authors:  Albert Park; Andrea L Hartzler; Jina Huh; David W McDonald; Wanda Pratt
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

4.  Hospitalized patients with 2009 H1N1 influenza in the United States, April-June 2009.

Authors:  Seema Jain; Laurie Kamimoto; Anna M Bramley; Ann M Schmitz; Stephen R Benoit; Janice Louie; David E Sugerman; Jean K Druckenmiller; Kathleen A Ritger; Rashmi Chugh; Supriya Jasuja; Meredith Deutscher; Sanny Chen; John D Walker; Jeffrey S Duchin; Susan Lett; Susan Soliva; Eden V Wells; David Swerdlow; Timothy M Uyeki; Anthony E Fiore; Sonja J Olsen; Alicia M Fry; Carolyn B Bridges; Lyn Finelli
Journal:  N Engl J Med       Date:  2009-10-08       Impact factor: 91.245

5.  Characterizing Smoking and Drinking Abstinence from Social Media.

Authors:  Acar Tamersoy; Munmun De Choudhury; Duen Horng Chau
Journal:  HT ACM Conf Hypertext Soc Media       Date:  2015-09

6.  Social Media, Big Data, and Mental Health: Current Advances and Ethical Implications.

Authors:  Mike Conway; Daniel O'Connor
Journal:  Curr Opin Psychol       Date:  2016-06

7.  Detecting influenza epidemics using search engine query data.

Authors:  Jeremy Ginsberg; Matthew H Mohebbi; Rajan S Patel; Lynnette Brammer; Mark S Smolinski; Larry Brilliant
Journal:  Nature       Date:  2009-02-19       Impact factor: 49.962

8.  Ethical issues in using Twitter for population-level depression monitoring: a qualitative study.

Authors:  Jude Mikal; Samantha Hurst; Mike Conway
Journal:  BMC Med Ethics       Date:  2016-04-14       Impact factor: 2.652

9.  "How Did We Get Here?": Topic Drift in Online Health Discussions.

Authors:  Albert Park; Andrea L Hartzler; Jina Huh; Gary Hsieh; David W McDonald; Wanda Pratt
Journal:  J Med Internet Res       Date:  2016-11-02       Impact factor: 5.428

10.  A cross-sectional examination of marketing of electronic cigarettes on Twitter.

Authors:  Jidong Huang; Rachel Kornfield; Glen Szczypka; Sherry L Emery
Journal:  Tob Control       Date:  2014-07       Impact factor: 7.552

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  24 in total

1.  Mining Social Media Data for Biomedical Signals and Health-Related Behavior.

Authors:  Rion Brattig Correia; Ian B Wood; Johan Bollen; Luis M Rocha
Journal:  Annu Rev Biomed Data Sci       Date:  2020-05-04

2.  RedMed: Extending drug lexicons for social media applications.

Authors:  Adam Lavertu; Russ B Altman
Journal:  J Biomed Inform       Date:  2019-10-15       Impact factor: 6.317

3.  Mothers' Worries During Pregnancy: A Content Analysis of Reddit Posts.

Authors:  Pamela D Pilkington; Isabella Bedford-Dyer
Journal:  J Perinat Educ       Date:  2021-02-12

4.  Skincare Addiction on Reddit: Dermatology Enthusiasts Talk Skin.

Authors:  Rachel Parks; Emily C Newsom; Joyce H Park; Naomi Lawrence
Journal:  Dermatol Surg       Date:  2020-10       Impact factor: 2.914

5.  Examining Peer-to-Peer and Patient-Provider Interactions on a Social Media Community Facilitating Ask the Doctor Services.

Authors:  Alicia L Nobles; Eric C Leas; Mark Dredze; John W Ayers
Journal:  Proc Int AAAI Conf Weblogs Soc Media       Date:  2020-06

6.  Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations.

Authors:  Vasiliki Foufi; Tatsawan Timakum; Christophe Gaudet-Blavignac; Christian Lovis; Min Song
Journal:  J Med Internet Res       Date:  2019-06-13       Impact factor: 5.428

7.  Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data.

Authors:  Mike Conway; Mengke Hu; Wendy W Chapman
Journal:  Yearb Med Inform       Date:  2019-08-16

Review 8.  Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review.

Authors:  Tavleen Singh; Kirk Roberts; Trevor Cohen; Nathan Cobb; Jing Wang; Kayo Fujimoto; Sahiti Myneni
Journal:  JMIR Public Health Surveill       Date:  2020-11-30

9.  Harnessing Reddit to Understand the Written-Communication Challenges Experienced by Individuals With Mental Health Disorders: Analysis of Texts From Mental Health Communities.

Authors:  Albert Park; Mike Conway
Journal:  J Med Internet Res       Date:  2018-04-10       Impact factor: 5.428

10.  Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning.

Authors:  Yang Liu; Christopher Whitfield; Tianyang Zhang; Amanda Hauser; Taeyonn Reynolds; Mohd Anwar
Journal:  Health Inf Sci Syst       Date:  2021-06-25
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