To Last Long or to Fade Away: Investigating Users' Instagram Post and Story Practices

Hsuen Chi Chiu, Chien Wen Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this study, we examined how users strategically leveraged the two affordances, content persistence and ephemerality, for self-presentation and relationship maintenance on Instagram. In contrast to other social media platforms that usually support either persistent (e.g., Twitter) or transient content sharing (e.g., Snapchat), Instagram affords both functions through regular posts and short-lived Story. We conducted a seven-day diary study on Instagram users (n=13) and used the data as probes for follow-up in-depth one-on-one interview. Our findings show that people deliberately curated persistent posts to present their ideal images. In contrast, ephemeral Story shows more authentic and casual sides of self. With the interpersonal and ephemeral touch, Story creates more private and directed engagement among users and their audiences than the interactions derived from posts. Story also helps users develop deeper relationships and extended interaction with others without experiencing "context-collapse."

Original languageEnglish
Title of host publicationCSCW 2021 - Conference Companion Publication of the 2021 Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages32-35
Number of pages4
ISBN (Electronic)9781450384797
DOIs
Publication statusPublished - 2021 Oct 23
Event24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021 - Virtual, Online, United States
Duration: 2021 Oct 232021 Oct 27

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021
Country/TerritoryUnited States
CityVirtual, Online
Period2021/10/232021/10/27

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Human-Computer Interaction

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