research-article

A framework for using data analytics to measure trust in government through the social capital generated over governmental social media platforms

Authors:

Mohamed ElSherifAuthors Info & Claims

dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

Article No.: 11, Pages 1 - 9

https://doi.org/10.1145/3209281.3209331

Published: 30 May 2018 Publication History

Abstract

It has been noted that citizens' trust in public institutions is continuously declining. Low social capital has been confirmed as one of the main reasons for this decrease in trust towards government. As social media offer a number of features that could foster social capital, governments worldwide are embracing these new tools in an attempt to restore citizens' trust. Having an existence on social media doesn't guarantee that it would increase trust; it can even compromise on the reputation of a public agency in the absence of a clear strategy targeted towards developing confidence and trust. To ensure the reflection of this strategy on the content of governmental social media, there should be a mechanism that measures the degree of trust on social media in government taking into account different aspects related to trust. Despite the importance of this kind of evaluation, it is though overlooked in both academia and practice. This paper therefore aims to fill this research gap through suggesting a standard technique to measure different trust dimensions on social media accounts of governments. A proposed framework for evaluating trust was applied on Facebook accounts of three Egyptian ministries - selected based on their apparent contribution to the national economy- taking into account six dimensions of trust: Responsiveness, Accessibility, Transparency, Effectiveness, Efficiency, and Participation.

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Azab NElSherif M(2023)Measuring Trust in Government Amid COVID-19 Pandemic and the Russian-Ukraine WarProceedings of Eighth International Congress on Information and Communication Technology10.1007/978-981-99-3243-6_56(691-710)Online publication date: 25-Jul-2023
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Yao XSong YZou XLu QHsieh C(2022)A Novel Path Recommendation Algorithm for Efficient and Secure Government Affairs System2022 5th International Conference on Information Communication and Signal Processing (ICICSP)10.1109/ICICSP55539.2022.10050645(460-465)Online publication date: 26-Nov-2022
https://doi.org/10.1109/ICICSP55539.2022.10050645
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Index Terms

A framework for using data analytics to measure trust in government through the social capital generated over governmental social media platforms
1. Applied computing
  1. Computers in other domains
    1. Computing in government
      1. E-government
2. Information systems
  1. Information systems applications
    1. Collaborative and social computing systems and tools
      1. Social networking sites

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dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

May 2018

889 pages

ISBN:9781450365260

DOI:10.1145/3209281

Conference Chairs:
Marijn Janssen
Delft University of Technology, Netherlands
,
Soon Ae Chun
City University of New York (CUNY), USA
,
Vishanth Weerakkody
Bradford University, UK
,
Editors:
Anneke Zuiderwijk
Delft University of Technology, Netherlands
,
Charles C. Hinnant
Florida State University, USA

Copyright © 2018 ACM.

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Published: 30 May 2018

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dg.o '18

dg.o '18: 19th Annual International Conference on Digital Government Research

May 30 - June 1, 2018

Delft, The Netherlands

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Cited By

Singh R(2023)Effective Information Retrieval Framework for Twitter Data AnalyticsInternational Journal of Information Retrieval Research10.4018/IJIRR.32579813:1(1-21)Online publication date: 13-Jan-2023
https://dl.acm.org/doi/10.4018/IJIRR.325798
Azab NElSherif M(2023)Measuring Trust in Government Amid COVID-19 Pandemic and the Russian-Ukraine WarProceedings of Eighth International Congress on Information and Communication Technology10.1007/978-981-99-3243-6_56(691-710)Online publication date: 25-Jul-2023
https://doi.org/10.1007/978-981-99-3243-6_56
Yao XSong YZou XLu QHsieh C(2022)A Novel Path Recommendation Algorithm for Efficient and Secure Government Affairs System2022 5th International Conference on Information Communication and Signal Processing (ICICSP)10.1109/ICICSP55539.2022.10050645(460-465)Online publication date: 26-Nov-2022
https://doi.org/10.1109/ICICSP55539.2022.10050645
Singh RVerma H(2022)Effective Parallel Processing Social Media Analytics FrameworkJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2020.04.01934:6(2860-2870)Online publication date: Jun-2022
https://doi.org/10.1016/j.jksuci.2020.04.019
Alarabiat AWahbeh N(2021)Unearthing citizens' acceptance factors for e‐participation initiatives through FacebookTHE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES10.1002/isd2.1219487:6Online publication date: 24-May-2021
https://doi.org/10.1002/isd2.12194

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