Features to improve the interactivity of government's post on social media

C. S. Purwowidhu Widayanti, Irwansyah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study elaborates measurements of interactivity on social media as well as describes the predictors that can strengthen the interactivity of government's post on Facebook and Twitter account. A content analysis was conducted on 143 posts and 313 tweets over one of government's official account. The result shows a significant predictor of interactivity from content features both on Facebook and Twitter is the topic of posts or tweets. The topic that generally has a positive influence on the overall type of interactivity and breadth of interactivity both on Facebook and Twitter is the topic of public service advertising. A significant predictor of interactivity from the structural features on Facebook is the hashtag while significant predictors of interactivity from structural features on Twitter are multimedia elements and external links.

Original languageEnglish
Title of host publication2019 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages363-368
Number of pages6
ISBN (Electronic)9781728152929
DOIs
Publication statusPublished - Oct 2019
Event11th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019 - Bali, Indonesia
Duration: 12 Oct 201913 Oct 2019

Publication series

Name2019 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019

Conference

Conference11th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019
CountryIndonesia
CityBali
Period12/10/1913/10/19

Keywords

  • Content features
  • Interactivity
  • Open government
  • Social media
  • Structural features

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