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An Empirical Study of the Usage of the Swarm App's Cross-Site Sharing Feature

Published: 08 October 2018 Publication History

Abstract

With the rapid development of online social networks (OSNs), many people have linked their accounts of multiple OSN sites and share contents across them. In this work, we conduct an empirical study of the usage of the Swarm app's cross-site sharing feature, i.e., the feature that enables Swarm users to share their check-ins to Twitter, and reveal factors that impact Swarm users' sharing behavior. We classify factors into two groups, i.e., check-in-related factors and profile-related factors, and dedicate to figure out their individual and combined influence on Swarm users' sharing behavior. Our work can provide a reference for researchers who collect Swarm check-ins from Twitter to study the characteristics of Swarm check-ins, assisting them to identify that whether their Twitter-collected check-ins are representative of the randomly selected check-ins collected directly from Swarm. The OSN sites can also improve their design of the sharing feature through the findings of this work.

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cover image ACM Conferences
UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
October 2018
1881 pages
ISBN:9781450359665
DOI:10.1145/3267305
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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Published: 08 October 2018

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Author Tags

  1. Online social network
  2. Swarm App
  3. cross-site linking
  4. sharing feature
  5. user behavior

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