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A Case Study in Belief Surveillance, Sentiment Analysis, and Identification of Informational Targets for E-Cigarettes Interventions

Authors:

Lourdes S. Martinez,

Ming-Hsiang Tsou,

Brian H. SpitzbergAuthors Info & Claims

SMSociety '19: Proceedings of the 10th International Conference on Social Media and Society

Pages 15 - 23

https://doi.org/10.1145/3328529.3328540

Published: 19 July 2019 Publication History

Abstract

To illuminate understanding of how social media can be leveraged to glean insights into public health issues such as e-cigarette use, we use a social media analytics and research testbed (SMART) dashboard to observe Twitter messages and follow content about e-cigarettes in different cities across the U.S. Our case studies indicate that the majority of e-cigarette tweets are positive (68%), which represents a potential problem for public health. Stigma plays the most important roles in both confirmed and rejected messages for e-cigarettes. We also noticed that some advocates of e-cigarettes might be hybrid human-bot accounts (or multiple users using one account). Our key findings demonstrate the use of the SMART dashboard as a means of public health-related belief surveillance, and identification of campaign targets and informational needs of different communities in real-time. Future uses of this tool include monitoring social messages about e-cigarettes for combating the spread of tobacco-related misinformation and disinformation, and detecting and targeting informational needs of communities for intervention.

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Cited By

Schulze ABrand FGeppert JBöl G(2023)Digital dashboards visualizing public health data: a systematic reviewFrontiers in Public Health10.3389/fpubh.2023.99995811Online publication date: 4-May-2023
https://doi.org/10.3389/fpubh.2023.999958
Shaikh SYayilgan SZoto EAbomhara M(2022)A Survey of Artificial Intelligence Techniques for User Perceptions’ Extraction from Social Media DataIntelligent Computing10.1007/978-3-031-10464-0_43(627-655)Online publication date: 7-Jul-2022
https://doi.org/10.1007/978-3-031-10464-0_43
Madila SDida MKaijage S(2021)A Review of Usage and Applications of Social Media AnalyticsJournal of Information Systems Engineering and Management10.21601/jisem/109586:3(em0141)Online publication date: 2021
https://doi.org/10.21601/jisem/10958
Show More Cited By

Index Terms

A Case Study in Belief Surveillance, Sentiment Analysis, and Identification of Informational Targets for E-Cigarettes Interventions
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Visual analytics
2. Social and professional topics
  1. Computing / technology policy
    1. Surveillance
  2. User characteristics
    1. Geographic characteristics

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SMSociety '19: Proceedings of the 10th International Conference on Social Media and Society

July 2019

247 pages

ISBN:9781450366519

DOI:10.1145/3328529

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Ryerson Univeristy: Ryerson Univeristy

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Published: 19 July 2019

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SMSociety '19

SMSociety '19: International Conference on Social Media and Society

July 19 - 21, 2019

ON, Toronto, Canada

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Cited By

Schulze ABrand FGeppert JBöl G(2023)Digital dashboards visualizing public health data: a systematic reviewFrontiers in Public Health10.3389/fpubh.2023.99995811Online publication date: 4-May-2023
https://doi.org/10.3389/fpubh.2023.999958
Shaikh SYayilgan SZoto EAbomhara M(2022)A Survey of Artificial Intelligence Techniques for User Perceptions’ Extraction from Social Media DataIntelligent Computing10.1007/978-3-031-10464-0_43(627-655)Online publication date: 7-Jul-2022
https://doi.org/10.1007/978-3-031-10464-0_43
Madila SDida MKaijage S(2021)A Review of Usage and Applications of Social Media AnalyticsJournal of Information Systems Engineering and Management10.21601/jisem/109586:3(em0141)Online publication date: 2021
https://doi.org/10.21601/jisem/10958
Nara A(2021)Introduction: Human Dynamics Research with Social Media and Geospatial Data AnalyticsEmpowering Human Dynamics Research with Social Media and Geospatial Data Analytics10.1007/978-3-030-83010-6_1(1-11)Online publication date: 21-Sep-2021
https://doi.org/10.1007/978-3-030-83010-6_1
McCausland KMaycock BLeaver TWolf KFreeman BJancey J(2019)Vape proponent behavior on Twitter: A content analysis of vaping related tweets (Preprint)JMIR Public Health and Surveillance10.2196/17543Online publication date: 19-Dec-2019
https://doi.org/10.2196/17543

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