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

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題CSCW 2021 - Conference Companion Publication of the 2021 Computer Supported Cooperative Work and Social Computing
發行者Association for Computing Machinery
頁面126-129
頁數4
ISBN(電子)9781450384797
DOIs
出版狀態Published - 23 10月 2021
事件24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021 - Virtual, Online, 美國
持續時間: 23 10月 202127 10月 2021

出版系列

名字Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021
國家/地區美國
城市Virtual, Online
期間23/10/2127/10/21

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