Tag me maybe: Perceptions of public targeted sharing on Facebook

Saiph Savage, Andrés Monroy-Hernández, Kasturi Bhattacharjee, Tobias Höllerer

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

6 Scopus citations

Abstract

Social network sites allow users to publicly tag people in their posts. These tagged posts allow users to share to both the general public and a targeted audience, dynamically assembled via notifications that alert the people mentioned. We investigate people's perceptions of this mixed sharing mode through a qualitative study with 120 participants. We found that individuals like this sharing modality as they believe it strengthens their relationships. Individuals also report using tags to have more control of Facebook's ranking algorithm, and to expose one another to novel information and people. This work helps us understand people's complex relationships with the algorithms that mediate their interactions with each another. We conclude by discussing the design implications of these findings.

Original languageEnglish (US)
Title of host publicationHT 2015 - Proceedings of the 26th ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery, Inc
Pages299-303
Number of pages5
ISBN (Electronic)9781450333955
DOIs
StatePublished - Aug 24 2015
Externally publishedYes
Event26th ACM Conference on Hypertext and Social Media, HT 2015 - Guzelyurt, Cyprus
Duration: Sep 1 2015Sep 4 2015

Publication series

NameHT 2015 - Proceedings of the 26th ACM Conference on Hypertext and Social Media

Conference

Conference26th ACM Conference on Hypertext and Social Media, HT 2015
Country/TerritoryCyprus
CityGuzelyurt
Period9/1/159/4/15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

Keywords

  • Access controls
  • Algorithmic filtering
  • Broadcasting
  • Narrowcast
  • Social media
  • Social networks

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