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#RIPINSTAGRAM: Examining user's counter-narratives opposing the introduction of algorithmic personalization on Instagram

  • Martina Mahnke
    ,
  • Josefine Grunnert
    ,
  • Nicolai Traasdahl Tarp
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Journal (Volume, Issue Number)

First Monday (Volume 22, Issue 4)

Publication milestones

  • Published - 03/04/2017

Publication status

Published - 03/04/2017

ISSN

1396-0466

Abstract

When Instagram announced the implementation of algorithmic personalization on their platform a heated debate arose. Several users expressed instantly their strong discontent under the hashtag #RIPINSTAGRAM. In this paper, we examine how users commented on the announcement of Instagram implementing algorithmic personalization. Drawing on the conceptual starting point of framing user comments as “counter-narratives” (Andrews, 2004), which oppose Instagram’s organizational narrative of improving the user experience, the study explores the main concerns users bring forth in greater detail. The two-step analysis draws on altogether 8,645 comments collected from Twitter and Instagram. The collected Twitter data were used to develop preliminary inductive categories describing users’ counter-narratives. Thereafter, we coded all Instagram data extracted from Instagram systematically in order to enhance, adjust and revise the preliminary categories. This inductive coding approach (Mayring, 2000) combined with an in-depth qualitative analysis resulted in the identification of the following four counter-narratives brought forth by users: 1) algorithmic hegemony; 2) violation of user autonomy; 3) prevalence of commercial interests; and 4) deification of mainstream. All of these counter-narratives are related to ongoing public debates regarding the social implications of algorithmic personalization. In conclusion, the paper suggests that the identified counter-narratives tell a story of resistance. While technological advancement is generally welcomed and celebrated, the findings of this study point towards a growing user resistance to algorithmic personalization.

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