SYNC: A Crowdsourcing Platform for News Co-editing

Jin An Lin, Feng Yi Hsu, Hsin Yu Yao, Shang Hsun Lu, Tsai Yu Kuo, Chieh Kai Lin, Yung Ju Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We present SYNC, a crowdsourcing platform that allows news audiences to read news curated, aggregated, organized, and edited by the crowd, and to participate in news aggregation and editing at anytime. Through crowdsourcing, SYNC brings together news information from diverse sources and from contributors with different perspectives, enabling news audiences to obtain a more complete context of specific news events, thereby synchronizing their knowledge of the event. SYNC employs "blocks"and a timeline to help with editors structure and organize news information, and a news material panel to facilitate finding news material to help with aggregation and editing. Our user evaluation showed that participants were positive about the usefulness and societal impacts of SYNC, and found the user interface easy to follow. They also indicated improvements to make to better support news aggregation and editing.

Original languageEnglish
Title of host publicationCSCW 2021 - Conference Companion Publication of the 2021 Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages126-129
Number of pages4
ISBN (Electronic)9781450384797
DOIs
StatePublished - 23 Oct 2021
Event24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021 - Virtual, Online, United States
Duration: 23 Oct 202127 Oct 2021

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021
Country/TerritoryUnited States
CityVirtual, Online
Period23/10/2127/10/21

Keywords

  • Co-editing
  • Crowdsourcing
  • News

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