Introduction to the 2017 international conference on social media and society

Anatoliy Gruzd, Jenna Jacobson, Philip Mai, Bernie Hogan, Jeff Hemsley, Kyounghee Kwon

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

1 Scopus citations

Abstract

This is an introduction to the Proceedings of the 2017 International Conference on Social Media and Society, an annual gathering of leading social media researchers from around the world. The conference is organized by the Social Media Lab (http://socialmedialab.ca) at Ryerson University. Now, in its 8th year, the 2017 conference in Toronto, Canada (July 28-30) features an intensive three-day program showcasing 24 doubleblind peer reviewed full papers, 34 double-blind peer reviewed work-in-progress (WIP) papers, 8 workshops, 8 panels, and 35 posters. These papers were selected from research submitted by nearly 400 scholars from 43 countries and territories, working in many fields including Communications, Computer Science, Education, Journalism, Information, Management, Political Science, and Sociology. The Proceedings feature a total of 58 papers including both full and WIP papers.

Original languageEnglish (US)
Title of host publication8th International Conference on Social Media and Society
Subtitle of host publicationSocial Media for Good or Evil, #SMSociety 2017
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450348478
DOIs
StatePublished - Jul 28 2017
Event8th International International Conference on Social Media and Society, #SMSociety 2017 - Toronto, Canada
Duration: Jul 28 2017Jul 30 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F129683

Other

Other8th International International Conference on Social Media and Society, #SMSociety 2017
Country/TerritoryCanada
CityToronto
Period7/28/177/30/17

Keywords

  • Online Social Networks
  • SMSociety
  • Social Media Research

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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