research-article

Fragile online relationship: a first look at unfollow dynamics in twitter

Authors:

Sue MoonAuthors Info & Claims

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1091 - 1100

https://doi.org/10.1145/1978942.1979104

Published: 07 May 2011 Publication History

Abstract

We analyze the dynamics of the behavior known as 'unfollow' in Twitter. We collected daily snapshots of the online relationships of 1.2 million Korean-speaking users for 51 days as well as all of their tweets. We found that Twitter users frequently unfollow. We then discover the major factors, including the reciprocity of the relationships, the duration of a relationship, the followees' informativeness, and the overlap of the relationships, which affect the decision to unfollow. We conduct interview with 22 Korean respondents to supplement the quantitative results.

They unfollowed those who left many tweets within a short time, created tweets about uninteresting topics, or tweeted about the mundane details of their lives. To the best of our knowledge, this work is the first systematic study of the unfollow behavior in Twitter.

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Cited By

Ashkinaze JGilbert EBudak CChua TNgo CKa-Wei Lee RKumar RLauw H(2024)The Dynamics of (Not) Unfollowing Misinformation SpreadersProceedings of the ACM Web Conference 202410.1145/3589334.3645445(1115-1125)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645445
Nagura TAkiyama E(2023)The Effect of Increasing Number of Topics to Polarization and Echo Chambers on SNSSNSにおけるトピックス数の増加が意見の分極化とエコーチェンバーに与える影響Transactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.38-4_B-N1138:4(B-N11_1-9)Online publication date: 1-Jul-2023
https://doi.org/10.1527/tjsai.38-4_B-N11
Liu XZhou YWang ZWang WKumar AWei W(2023)User's Cognitive-Behavior-Based Preference Access Under Disease-Specific Online Medical Inquiry Text MiningIEEE Transactions on Engineering Management10.1109/TEM.2022.314343270:8(2827-2845)Online publication date: Aug-2023
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Index Terms

Fragile online relationship: a first look at unfollow dynamics in twitter

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2011

3530 pages

ISBN:9781450302289

DOI:10.1145/1978942

General Chair:
Desney Tan
Microsoft Research
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Carl Gutwin
University of Saskatchewan
,
Bo Begole
PARC
,
Wendy A. Kellogg
IBM Research

Copyright © 2011 ACM.

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Published: 07 May 2011

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Cited By

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https://dl.acm.org/doi/10.1145/3589334.3645445
Nagura TAkiyama E(2023)The Effect of Increasing Number of Topics to Polarization and Echo Chambers on SNSSNSにおけるトピックス数の増加が意見の分極化とエコーチェンバーに与える影響Transactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.38-4_B-N1138:4(B-N11_1-9)Online publication date: 1-Jul-2023
https://doi.org/10.1527/tjsai.38-4_B-N11
Liu XZhou YWang ZWang WKumar AWei W(2023)User's Cognitive-Behavior-Based Preference Access Under Disease-Specific Online Medical Inquiry Text MiningIEEE Transactions on Engineering Management10.1109/TEM.2022.314343270:8(2827-2845)Online publication date: Aug-2023
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Muro CLi BHe K(2023)Link Prediction and Unlink Prediction on Dynamic NetworksIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.316222910:2(590-601)Online publication date: Apr-2023
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