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Reflecting on Social Media Behavior by Structuring and Exploring Posts and Comments

Reflecting on Social Media Behavior by Structuring and Exploring Posts and Comments AbstractSocial networks use several user interaction techniques for enabling and soliciting user responses, such as posts, likes and comments. Some of these triggers may lead to posts or comments that a user may regret at a later stage. In this article, we investigate how users may be supported in reflecting upon their past activities, making use of an exploratory spatial hypertext tool. We discuss how we transform raw Facebook data dumps into a graph-based structure and reflect upon design decisions. First results provide insights in users motivations for using such a tool and confirm that the approach helps them in discovering past activities that they perceive as outdated or even embarrassing. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png i-com de Gruyter

Reflecting on Social Media Behavior by Structuring and Exploring Posts and Comments

i-com , Volume 19 (3): 12 – Jan 26, 2021

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Publisher
de Gruyter
Copyright
© 2020 Herder et al., published by De Gruyter
ISSN
2196-6826
eISSN
2196-6826
DOI
10.1515/icom-2020-0019
Publisher site
See Article on Publisher Site

Abstract

AbstractSocial networks use several user interaction techniques for enabling and soliciting user responses, such as posts, likes and comments. Some of these triggers may lead to posts or comments that a user may regret at a later stage. In this article, we investigate how users may be supported in reflecting upon their past activities, making use of an exploratory spatial hypertext tool. We discuss how we transform raw Facebook data dumps into a graph-based structure and reflect upon design decisions. First results provide insights in users motivations for using such a tool and confirm that the approach helps them in discovering past activities that they perceive as outdated or even embarrassing.

Journal

i-comde Gruyter

Published: Jan 26, 2021

Keywords: Social media; posts; comments; user behavior; visual exploration; hypertext

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