{"title":"通过 YouTube 放大学术研究：作为引文影响力预测指标的参与度指标","authors":"Olga Zagovora, Talisa Schwal, Katrin Weller","doi":"arxiv-2405.12734","DOIUrl":null,"url":null,"abstract":"This study explores the interplay between YouTube engagement metrics and the\nacademic impact of cited publications within video descriptions, amid declining\ntrust in traditional journalism and increased reliance on social media for\ninformation. By analyzing data from Altmetric.com and YouTube's API, it\nassesses how YouTube video features relate to citation impact. Initial results\nsuggest that videos citing scientific publications and garnering high\nengagement-likes, comments, and references to other publications-may function\nas a filtering mechanism or even as a predictor of impactful research.","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Amplifying Academic Research through YouTube: Engagement Metrics as Predictors of Citation Impact\",\"authors\":\"Olga Zagovora, Talisa Schwal, Katrin Weller\",\"doi\":\"arxiv-2405.12734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study explores the interplay between YouTube engagement metrics and the\\nacademic impact of cited publications within video descriptions, amid declining\\ntrust in traditional journalism and increased reliance on social media for\\ninformation. By analyzing data from Altmetric.com and YouTube's API, it\\nassesses how YouTube video features relate to citation impact. Initial results\\nsuggest that videos citing scientific publications and garnering high\\nengagement-likes, comments, and references to other publications-may function\\nas a filtering mechanism or even as a predictor of impactful research.\",\"PeriodicalId\":501285,\"journal\":{\"name\":\"arXiv - CS - Digital Libraries\",\"volume\":\"47 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Digital Libraries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.12734\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Digital Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.12734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在人们对传统新闻业的信任度下降、越来越依赖社交媒体获取信息的背景下，本研究探讨了 YouTube 参与度指标与视频描述中引用出版物的学术影响力之间的相互作用。通过分析 Altmetric.com 和 YouTube API 的数据，本研究评估了 YouTube 视频功能与引用影响力之间的关系。初步结果表明，引用科学出版物并获得较高的赞数、评论和对其他出版物的引用的视频可能是一种过滤机制，甚至是有影响力研究的预测指标。
Amplifying Academic Research through YouTube: Engagement Metrics as Predictors of Citation Impact
This study explores the interplay between YouTube engagement metrics and the
academic impact of cited publications within video descriptions, amid declining
trust in traditional journalism and increased reliance on social media for
information. By analyzing data from Altmetric.com and YouTube's API, it
assesses how YouTube video features relate to citation impact. Initial results
suggest that videos citing scientific publications and garnering high
engagement-likes, comments, and references to other publications-may function
as a filtering mechanism or even as a predictor of impactful research.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
