Investigating factors for assessing the quality of academic user-generated content on social media

Lei Li, Linlin Zhang, Ao Wang, Kun Huang

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

As scholars increasingly use academic user-generated content from various social media to support their research, evaluating the quality of this content becomes challenging. This study recruited researchers to conduct retrieval experiments and participate in post-experiment interviews, aiming to identify the factors that affect their evaluation of various types of academic user-generated content. By analyzing the interview data, 23 factors affecting the evaluation were obtained. This pilot study provides foundations for building a quality evaluation model for academic user-generated content.

源语言英语
主期刊名JCDL 2020 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
出版商Institute of Electrical and Electronics Engineers Inc.
511-512
页数2
ISBN(电子版)9781450375856
DOI
出版状态已出版 - 1 8月 2020
已对外发布
活动2020 ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2020 - Virtual, Online, 中国
期限: 1 8月 20205 8月 2020

出版系列

姓名Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN(印刷版)1552-5996

会议

会议2020 ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2020
国家/地区中国
Virtual, Online
时期1/08/205/08/20

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