Comprehensive scoping review of health research using social media data

Joanna Taylor; Claudia Pagliari

doi:10.1136/bmjopen-2018-022931

Comprehensive scoping review of health research using social media data

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

Introduction:
The rising popularity of social media, since their inception around 20 years ago, has been echoed in the growth of health-related research using data derived from them. This has created a demand for literature reviews to synthesise this emerging evidence base and inform future activities. Existing reviews tend to be narrow in scope, with limited consideration of the different types of data, analytical methods and ethical issues involved. There has also been a tendency for research to be siloed within different academic communities (eg, computer science, public health), hindering knowledge translation. To address these limitations, we will undertake a comprehensive scoping review, to systematically capture the broad corpus of published, health-related research based on social media data. Here, we present the review protocol and the pilot analyses used to inform it.

Methods:
A version of Arksey and O’Malley’s five-stage scoping review framework will be followed: (1) identifying the research question; (2) identifying the relevant literature; (3) selecting the studies; (4) charting the data and (5) collating, summarising and reporting the results. To inform the search strategy, we developed an inclusive list of keyword combinations related to social media, health and relevant methodologies. The frequency and variability of terms were charted over time and cross referenced with significant events, such as the advent of Twitter. Five leading health, informatics, business and cross-disciplinary databases will be searched: PubMed, Scopus, Association of Computer Machinery, Institute of Electrical and Electronics Engineers and Applied Social Sciences Index and Abstracts, alongside the Google search engine. There will be no restriction by date.

Ethics and dissemination:
The review focuses on published research in the public domain therefore no ethics approval is required. The completed review will be submitted for publication to a peer-reviewed, interdisciplinary open access journal, and conferences on public health and digital research.

Original language	English
Pages (from-to)	1-8
Number of pages	8
Journal	BMJ Open
DOIs	https://doi.org/10.1136/bmjopen-2018-022931
Publication status	Published - 14 Dec 2018

Keywords / Materials (for Non-textual outputs)

Digital Health
Social Media
Research Methods
Data Mining
Health analytics

Access to Document

10.1136/bmjopen-2018-022931Licence: Creative Commons: Attribution (CC-BY)

Taylor & Pagliari (2018) Health Research Using Social Media Data BMJ OpenFinal published version, 2.04 MBLicence: Creative Commons: Attribution (CC-BY)

https://bmjopen.bmj.com/content/8/12/e022931.fullLicence: Creative Commons: Attribution (CC-BY)

1 Not started
2 Finished

Social Media, Social Machines and Health
Pagliari, C.
Project: Research
SOCIAM: The Theory And Practice Of Social Machines
Robertson, D. & Buneman, P.
EPSRC
1/08/15 → 31/05/18
Project: Research
Administrative Data Research Centre - Scotland
Pagliari, C., Cunningham-Burley, S. & Dibben, C.
ESRC
1/11/13 → 31/10/18
Project: Research

10 Article
1 Poster

A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference
Calleja, N., Abdallah, A., Abad, N., Ahmed, N., Albarracin, D., Altieri, E., Anoko, J. N., Arcos, R., Azlan, A. A., Bayer, J., Bechmann, A., Bezbaruah, S., Briand, S. C., Brooks, I., Bucci, L. M., Burzo, S., Czerniak, C., De Domenico, M., Dunn, A. G., Ecker, U. K. H., & 52 othersEspinosa, L., Francois, C., Gradon, K., Gruzd, A., Gülgün, B. S., Haydarov, R., Hurley, C., Astuti, S. I., Ishizumi, A., Johnson, N., Johnson Restrepo, D., Kajimoto, M., Koyuncu, A., Kulkarni, S., Lamichhane, J., Lewis, R., Mahajan, A., Mandil, A., Mcaweeney, E., Messer, M., Moy, W., Ndumbi Ngamala, P., Nguyen, T., Nunn, M., Omer, S. B., Pagliari, C., Patel, P., Phuong, L., Prybylski, D., Rashidian, A., Rempel, E., Rubinelli, S., Sacco, P., Schneider, A., Shu, K., Smith, M., Sufehmi, H., Tangcharoensathien, V., Terry, R., Thacker, N., Trewinnard, T., Turner, S., Tworek, H., Uakkas, S., Vraga, E., Wardle, C., Wasserman, H., Wilhelm, E., Würz, A., Yau, B., Zhou, L. & Purnat, T. D., 15 Sept 2021, In: JMIR Infodemiology. 1, 1, p. e30979
Research output: Contribution to journal › Article › peer-review

Open Access
How Shades of Truth and Age Affect Responses to COVID-19 (Mis)Information: Randomized Survey Experiment among WhatsApp Users in UK and Brazil
Vijaykumar, S., Jin, Y. & Pagliari, C., 23 Mar 2021, In: Humanities and Social Sciences Communications.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Gender differences in the addiction to social networks in the Southern Spanish university students
Aparicio-Martínez, P., Ruiz-Rubio, M., Perea-Moreno, A. J., Martínez-Jiménez, M. P., Pagliari, C., Redel-Macías, M. D. & Vaquero-Abellán, M., 1 Mar 2020, In: Telematics and Informatics. 46, 101304.
Research output: Contribution to journal › Article › peer-review

1 Participation in workshop, seminar, course
1 Types of Business and Community - Continuing Professional Development (CPD)/Training
1 Invited talk

Use of Social Media for Health Communication and Health Surveillance: Opportunities, ethics and politics
Claudia Pagliari (Invited speaker)
13 Jun 2022 → 14 Jun 2022
Activity: Academic talk or presentation types › Invited talk
Advances in Social Listening for Public Health
Claudia Pagliari (Participant)
4 May 2021 → 12 May 2021
Activity: Participating in or organising an event types › Participation in workshop, seminar, course
NHS Digital Academy Module on Citizen-Centred Digital Health
Claudia Pagliari (Lecturer)
2018 → …
Activity: Other activity types › Types of Business and Community - Continuing Professional Development (CPD)/Training

Cite this

@article{6c50d826e3064bdfb9a24dca9cef95ef,

title = "Comprehensive scoping review of health research using social media data",

abstract = "Introduction: The rising popularity of social media, since their inception around 20 years ago, has been echoed in the growth of health-related research using data derived from them. This has created a demand for literature reviews to synthesise this emerging evidence base and inform future activities. Existing reviews tend to be narrow in scope, with limited consideration of the different types of data, analytical methods and ethical issues involved. There has also been a tendency for research to be siloed within different academic communities (eg, computer science, public health), hindering knowledge translation. To address these limitations, we will undertake a comprehensive scoping review, to systematically capture the broad corpus of published, health-related research based on social media data. Here, we present the review protocol and the pilot analyses used to inform it.Methods: A version of Arksey and O{\textquoteright}Malley{\textquoteright}s five-stage scoping review framework will be followed: (1) identifying the research question; (2) identifying the relevant literature; (3) selecting the studies; (4) charting the data and (5) collating, summarising and reporting the results. To inform the search strategy, we developed an inclusive list of keyword combinations related to social media, health and relevant methodologies. The frequency and variability of terms were charted over time and cross referenced with significant events, such as the advent of Twitter. Five leading health, informatics, business and cross-disciplinary databases will be searched: PubMed, Scopus, Association of Computer Machinery, Institute of Electrical and Electronics Engineers and Applied Social Sciences Index and Abstracts, alongside the Google search engine. There will be no restriction by date.Ethics and dissemination: The review focuses on published research in the public domain therefore no ethics approval is required. The completed review will be submitted for publication to a peer-reviewed, interdisciplinary open access journal, and conferences on public health and digital research.",

keywords = "Digital Health, Social Media, Research Methods, Data Mining, Health analytics",

author = "Joanna Taylor and Claudia Pagliari",

year = "2018",

month = dec,

day = "14",

doi = "10.1136/bmjopen-2018-022931",

language = "English",

pages = "1--8",

journal = "BMJ Open",

issn = "2044-6055",

publisher = "BMJ Publishing Group",

}

TY - JOUR

T1 - Comprehensive scoping review of health research using social media data

AU - Taylor, Joanna

AU - Pagliari, Claudia

PY - 2018/12/14

Y1 - 2018/12/14

N2 - Introduction: The rising popularity of social media, since their inception around 20 years ago, has been echoed in the growth of health-related research using data derived from them. This has created a demand for literature reviews to synthesise this emerging evidence base and inform future activities. Existing reviews tend to be narrow in scope, with limited consideration of the different types of data, analytical methods and ethical issues involved. There has also been a tendency for research to be siloed within different academic communities (eg, computer science, public health), hindering knowledge translation. To address these limitations, we will undertake a comprehensive scoping review, to systematically capture the broad corpus of published, health-related research based on social media data. Here, we present the review protocol and the pilot analyses used to inform it.Methods: A version of Arksey and O’Malley’s five-stage scoping review framework will be followed: (1) identifying the research question; (2) identifying the relevant literature; (3) selecting the studies; (4) charting the data and (5) collating, summarising and reporting the results. To inform the search strategy, we developed an inclusive list of keyword combinations related to social media, health and relevant methodologies. The frequency and variability of terms were charted over time and cross referenced with significant events, such as the advent of Twitter. Five leading health, informatics, business and cross-disciplinary databases will be searched: PubMed, Scopus, Association of Computer Machinery, Institute of Electrical and Electronics Engineers and Applied Social Sciences Index and Abstracts, alongside the Google search engine. There will be no restriction by date.Ethics and dissemination: The review focuses on published research in the public domain therefore no ethics approval is required. The completed review will be submitted for publication to a peer-reviewed, interdisciplinary open access journal, and conferences on public health and digital research.

AB - Introduction: The rising popularity of social media, since their inception around 20 years ago, has been echoed in the growth of health-related research using data derived from them. This has created a demand for literature reviews to synthesise this emerging evidence base and inform future activities. Existing reviews tend to be narrow in scope, with limited consideration of the different types of data, analytical methods and ethical issues involved. There has also been a tendency for research to be siloed within different academic communities (eg, computer science, public health), hindering knowledge translation. To address these limitations, we will undertake a comprehensive scoping review, to systematically capture the broad corpus of published, health-related research based on social media data. Here, we present the review protocol and the pilot analyses used to inform it.Methods: A version of Arksey and O’Malley’s five-stage scoping review framework will be followed: (1) identifying the research question; (2) identifying the relevant literature; (3) selecting the studies; (4) charting the data and (5) collating, summarising and reporting the results. To inform the search strategy, we developed an inclusive list of keyword combinations related to social media, health and relevant methodologies. The frequency and variability of terms were charted over time and cross referenced with significant events, such as the advent of Twitter. Five leading health, informatics, business and cross-disciplinary databases will be searched: PubMed, Scopus, Association of Computer Machinery, Institute of Electrical and Electronics Engineers and Applied Social Sciences Index and Abstracts, alongside the Google search engine. There will be no restriction by date.Ethics and dissemination: The review focuses on published research in the public domain therefore no ethics approval is required. The completed review will be submitted for publication to a peer-reviewed, interdisciplinary open access journal, and conferences on public health and digital research.

KW - Digital Health

KW - Social Media

KW - Research Methods

KW - Data Mining

KW - Health analytics

U2 - 10.1136/bmjopen-2018-022931

DO - 10.1136/bmjopen-2018-022931

M3 - Article

SN - 2044-6055

SP - 1

EP - 8

JO - BMJ Open

JF - BMJ Open

ER -

Comprehensive scoping review of health research using social media data

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

Research output

Activities

Cite this