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Diabetes Information in Social Media

Published: 13 August 2018 Publication History

Abstract

Social media platforms have created new ways for people to communicate and express themselves. Thus, it is important to explore how e-health related information is generated and disseminated in these platforms. The aim of our current efforts is to investigate the content and flow of information when people in Sweden use Twitter to talk about diabetes related issues. To achieve our goals, we have used data mining and visualization techniques in order to explore, analyze and cluster Twitter data we have collected during a period of 10 months. Our initial results indicate that patients use Twitter to share diabetes related information and to communicate about their disease as an alternative way that complements the traditional channels used by health care professionals.

References

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Marjolijn L. Antheunis, Kiek Tates, and Theodoor E. Nieboer. 2013. Patients' and Health Professionals' Use of Social Media in Health Care: Motives, Barriers and Expectations. Patient Education and Counseling 92, 3 (2013), 426--431.
[2]
Mariano Beguerisse-Díaz, Amy K. McLennan, Guillermo Garduño-Hernández, Mauricio Barahona, and Stanley J. Ulijaszek. 2017. The 'Who' and 'What' of #diabetes on Twitter. Digital Health 3 (2017).
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Mark Graham, Scott A. Hale, and Devin Gaffney. 2014. Where in the World Are You? Geolocation and Language Identification in Twitter. The Professional Geographer 66, 4 (2014), 568--578.
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Jose Francisco Grajales III, Samuel Sheps, Helen Ho, Kendalland Novak-Lauscher, and Gunther Eysenbach. 2014. Social Media: A Review and Tutorial of Applications in Medicine and Health Care. Journal of Medical Internet Research 16, 2, Article e13 (Feb. 2014).
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Kostiantyn Kucher and Andreas Kerren. 2015. Text Visualization Techniques: Taxonomy, Visual Survey, and Community Insights. In Proceedings of the 8th IEEE Pacific Visualization Symposium (PacificVis '15). IEEE, New York, NY, USA, 117--121.
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Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills. 2017. Advanced Analytics with Spark: Patterns for Learning from Data at Scale. O'Reilly Media.
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Pontus Staunstrup. 2018. Internet och Sociala Medier 2018---Nya Globala Siffror. Retrieved May 4, 2018 from http://staunstrup.se/blog/digitalt/internet-och-sociala-medier-2018-nya-globala-siffror/
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R. Jay Widmer, Nicole B. Engler, Jeffrey B. Geske, Kyle W. Klarich, and Farris K. Timimi. 2016. An Academic Healthcare Twitter Account: The Mayo Clinic Experience. Cyberpsychology, Behavior, and Social Networking 19, 6 (2016), 360--366.

Cited By

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  • (2024)Managing Type 2 Diabetes During the COVID-19 Pandemic: Scoping Review and Qualitative Study Using Systematic Literature Review and RedditInteractive Journal of Medical Research10.2196/4907313(e49073)Online publication date: 8-Aug-2024
  • (2023)Managing Type 2 Diabetes during the COVID-19 Pandemic: An Investigation of Reddit Data using LDA Topic Modelling and VADER sEntiment Analysis (Preprint)JMIR Formative Research10.2196/51154Online publication date: 22-Jul-2023
  • (2021)Patient-Generated Data Analytics of Health Behaviors of People Living With Type 2 Diabetes: Scoping ReviewJMIR Diabetes10.2196/290276:4(e29027)Online publication date: 20-Dec-2021
  • Show More Cited By

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Published In

cover image ACM Other conferences
VINCI '18: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction
August 2018
135 pages
ISBN:9781450365017
DOI:10.1145/3231622
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 August 2018

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Author Tags

  1. Social media
  2. Twitter data analysis
  3. diabetes
  4. visualization

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  • Research
  • Refereed limited

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VINCI '18

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Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

View all
  • (2024)Managing Type 2 Diabetes During the COVID-19 Pandemic: Scoping Review and Qualitative Study Using Systematic Literature Review and RedditInteractive Journal of Medical Research10.2196/4907313(e49073)Online publication date: 8-Aug-2024
  • (2023)Managing Type 2 Diabetes during the COVID-19 Pandemic: An Investigation of Reddit Data using LDA Topic Modelling and VADER sEntiment Analysis (Preprint)JMIR Formative Research10.2196/51154Online publication date: 22-Jul-2023
  • (2021)Patient-Generated Data Analytics of Health Behaviors of People Living With Type 2 Diabetes: Scoping ReviewJMIR Diabetes10.2196/290276:4(e29027)Online publication date: 20-Dec-2021
  • (2019)Detecting Factors Responsible for Diabetes Prevalence in Nigeria using Social Media and Machine Learning2019 15th International Conference on Network and Service Management (CNSM)10.23919/CNSM46954.2019.9012679(1-4)Online publication date: Oct-2019

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