Survey data to unveil the power of political crowdsourcing on social media

Survey data to unveil the power of political crowdsourcing on social media

This paper describes a dataset collected from a survey carried out in the United Kingdom, Malaysia, and Pakistan, to understand the variables that impact political trust. The data was collected from September to November 2021 via an online survey on Google Forms, and 472 valid responses were obtaine...

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Bibliographic Details
Published in:Data in Brief
Main Author: Tariq R.; Zolkepli I.A.; Isawasan P.; Tan C.; Alhammad M.M.
Format: Data paper
Language:English
Published: Elsevier Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199369353&doi=10.1016%2fj.dib.2024.110758&partnerID=40&md5=f5cfe4c1912bcf17185debbdfc0d4962
id 2-s2.0-85199369353
spelling 2-s2.0-85199369353
Tariq R.; Zolkepli I.A.; Isawasan P.; Tan C.; Alhammad M.M.
Survey data to unveil the power of political crowdsourcing on social media
2024
Data in Brief
55

10.1016/j.dib.2024.110758
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199369353&doi=10.1016%2fj.dib.2024.110758&partnerID=40&md5=f5cfe4c1912bcf17185debbdfc0d4962
This paper describes a dataset collected from a survey carried out in the United Kingdom, Malaysia, and Pakistan, to understand the variables that impact political trust. The data was collected from September to November 2021 via an online survey on Google Forms, and 472 valid responses were obtained. Drawing on relevant literature, the survey instrument was designed to cover the respondents' opinions concerning partisanship, social media utilization, online social capital, voluntary online and offline political participation, and political trust. The dataset offers useful insights for institutional practitioners and policymakers working in the domains of democracy and political communication, facilitating policy formulation to bolster political trust through collaborative crowdsourcing. © 2024 The Author(s)
Elsevier Inc.
23523409
English
Data paper
All Open Access; Gold Open Access
author Tariq R.; Zolkepli I.A.; Isawasan P.; Tan C.; Alhammad M.M.
spellingShingle Tariq R.; Zolkepli I.A.; Isawasan P.; Tan C.; Alhammad M.M.
Survey data to unveil the power of political crowdsourcing on social media
author_facet Tariq R.; Zolkepli I.A.; Isawasan P.; Tan C.; Alhammad M.M.
author_sort Tariq R.; Zolkepli I.A.; Isawasan P.; Tan C.; Alhammad M.M.
title Survey data to unveil the power of political crowdsourcing on social media
title_short Survey data to unveil the power of political crowdsourcing on social media
title_full Survey data to unveil the power of political crowdsourcing on social media
title_fullStr Survey data to unveil the power of political crowdsourcing on social media
title_full_unstemmed Survey data to unveil the power of political crowdsourcing on social media
title_sort Survey data to unveil the power of political crowdsourcing on social media
publishDate 2024
container_title Data in Brief
container_volume 55
container_issue
doi_str_mv 10.1016/j.dib.2024.110758
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199369353&doi=10.1016%2fj.dib.2024.110758&partnerID=40&md5=f5cfe4c1912bcf17185debbdfc0d4962
description This paper describes a dataset collected from a survey carried out in the United Kingdom, Malaysia, and Pakistan, to understand the variables that impact political trust. The data was collected from September to November 2021 via an online survey on Google Forms, and 472 valid responses were obtained. Drawing on relevant literature, the survey instrument was designed to cover the respondents' opinions concerning partisanship, social media utilization, online social capital, voluntary online and offline political participation, and political trust. The dataset offers useful insights for institutional practitioners and policymakers working in the domains of democracy and political communication, facilitating policy formulation to bolster political trust through collaborative crowdsourcing. © 2024 The Author(s)
publisher Elsevier Inc.
issn 23523409
language English
format Data paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
_version_ 1814778499270967296

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