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Why do Instagram Users Tag Friends in Comments?

Published: 20 April 2020 Publication History

Abstract

Tagging a friend in a comment is one of the well-known mechanisms that leads user interaction in social media. This paper investigates the current practice of user tagging in Instagram by collecting a large-scale data that includes 9 K posts and their 4 M comments shared by 3 M users. Our analysis reveals that 54.8% of the comments contain user tagging, meaning that user tagging is widely-used in Instagram. To shed light on why Instagram users tag friends in comments, we develop a learning-based model that classifies the motivation of user tagging into one of the following motivations: (i) information-oriented, (ii) relationship-oriented, and (iii) discussion-oriented. We then apply our model to the comments with user tagging in our data, and reveal that user tagging is often used for interpersonal communication with friends.

References

[1]
Anna Sophie Kümpel. 2019. Getting Tagged, Getting Involved with News? A Mixed-Methods Investigation of the Effects and Motives of News-Related Tagging Activities on Social Network Sites. Journal of Communication 69, 4 (2019), 373–395.
[2]
Ting Liu and Hailong Qin. 2016. Detecting and Tagging Users’ Social Circles in Social Media. Multimedia Systems 22, 4 (2016), 423–431.
[3]
Anne Oeldorf-Hirsch and S Shyam Sundar. 2015. Posting, Commenting, and Tagging: Effects of Sharing News Stories on Facebook. Computers in Human Behavior 44 (2015), 240–249.
[4]
Pavica Sheldon and Katherine Bryant. 2016. Instagram: Motives for Its Use and Relationship to Narcissism and Contextual Age. Computers in human Behavior 58 (2016), 89–97.
[5]
[5] Socialblade.2018. https://socialblade.com/.
[6]
[6] Statista.2018. https://www.statista.com/.

Cited By

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  • (2023)A twitter analysis of patient and family experience in pediatric spine surgeryChild's Nervous System10.1007/s00381-023-06019-739:12(3483-3490)Online publication date: 24-Jun-2023
  • (2022)“Why tag me?”Expert Systems with Applications: An International Journal10.1016/j.eswa.2022.117171202:COnline publication date: 15-Sep-2022
  • (2021)The Institutional Impacts of Algorithmic Distribution: Facebook and the Australian News MediaSocial Media + Society10.1177/205630512110249637:2Online publication date: 23-Jun-2021

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cover image ACM Conferences
WWW '20: Companion Proceedings of the Web Conference 2020
April 2020
854 pages
ISBN:9781450370240
DOI:10.1145/3366424
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2020

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WWW '20
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WWW '20: The Web Conference 2020
April 20 - 24, 2020
Taipei, Taiwan

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2023)A twitter analysis of patient and family experience in pediatric spine surgeryChild's Nervous System10.1007/s00381-023-06019-739:12(3483-3490)Online publication date: 24-Jun-2023
  • (2022)“Why tag me?”Expert Systems with Applications: An International Journal10.1016/j.eswa.2022.117171202:COnline publication date: 15-Sep-2022
  • (2021)The Institutional Impacts of Algorithmic Distribution: Facebook and the Australian News MediaSocial Media + Society10.1177/205630512110249637:2Online publication date: 23-Jun-2021
  • (2021)On the dynamics of political discussions on Instagram: A network perspectiveOnline Social Networks and Media10.1016/j.osnem.2021.10015525(100155)Online publication date: Sep-2021

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