Current and Future Debates in Video Data Analysis

IF 6.5 2区 社会学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS Sociological Methods & Research Pub Date : 2023-06-08 DOI:10.1177/00491241231178275
Nicolas M. Legewie, Anne Nassauer
{"title":"Current and Future Debates in Video Data Analysis","authors":"Nicolas M. Legewie, Anne Nassauer","doi":"10.1177/00491241231178275","DOIUrl":null,"url":null,"abstract":"Video-based social science research is thriving. Across disciplines and topic areas, researchers use twenty-first century video data to gain novel insights into how social processes and events unfold on the ground. In recent years, “video data analysis” (VDA) has emerged as a methodological framework to facilitate this type of video-based research. The special issue “The Present and Future of Video-based Social Science Research: Innovations in Video Data Analysis” presents methodological innovations that speak to some of the most pressing debates around VDA. Contributions showcase the range of disciplines and research fields VDA is used in, from social interactions and collective behavior to neighborhoods, policing, and public health. This introductory article outlines two areas of growth in VDA methodology that the articles of this special issue speak to: taking advantage of scale and detail in VDA, and situating VDA in the canon of research methods.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"52 1","pages":"1107 - 1119"},"PeriodicalIF":6.5000,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sociological Methods & Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/00491241231178275","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Video-based social science research is thriving. Across disciplines and topic areas, researchers use twenty-first century video data to gain novel insights into how social processes and events unfold on the ground. In recent years, “video data analysis” (VDA) has emerged as a methodological framework to facilitate this type of video-based research. The special issue “The Present and Future of Video-based Social Science Research: Innovations in Video Data Analysis” presents methodological innovations that speak to some of the most pressing debates around VDA. Contributions showcase the range of disciplines and research fields VDA is used in, from social interactions and collective behavior to neighborhoods, policing, and public health. This introductory article outlines two areas of growth in VDA methodology that the articles of this special issue speak to: taking advantage of scale and detail in VDA, and situating VDA in the canon of research methods.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
视频数据分析中当前和未来的争论
基于视频的社会科学研究正在蓬勃发展。跨越学科和主题领域,研究人员使用21世纪的视频数据来获得关于社会过程和事件如何在地面上展开的新颖见解。近年来,“视频数据分析”(VDA)作为一种方法框架出现,以促进这类基于视频的研究。特刊“基于视频的社会科学研究的现在和未来:视频数据分析的创新”介绍了方法上的创新,这些创新与围绕VDA的一些最紧迫的辩论有关。贡献展示了VDA所使用的学科和研究领域的范围,从社会互动和集体行为到社区,警务和公共卫生。这篇介绍性文章概述了VDA方法论的两个增长领域,这是本期特刊的文章所讨论的:利用VDA的规模和细节,以及将VDA置于研究方法的经典中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
16.30
自引率
3.20%
发文量
40
期刊介绍: Sociological Methods & Research is a quarterly journal devoted to sociology as a cumulative empirical science. The objectives of SMR are multiple, but emphasis is placed on articles that advance the understanding of the field through systematic presentations that clarify methodological problems and assist in ordering the known facts in an area. Review articles will be published, particularly those that emphasize a critical analysis of the status of the arts, but original presentations that are broadly based and provide new research will also be published. Intrinsically, SMR is viewed as substantive journal but one that is highly focused on the assessment of the scientific status of sociology. The scope is broad and flexible, and authors are invited to correspond with the editors about the appropriateness of their articles.
期刊最新文献
The Potential for Using a Shortened Version of the Everyday Discrimination Scale in Population Research with Young Adults: A Construct Validation Investigation. Occupational Percentile Rank: A New Method for Constructing a Socioeconomic Index of Occupational Status Marginal and Conditional Confounding Using Logits. High-Dimensional Imputation for the Social Sciences: A Comparison of State-of-The-Art Methods Current and Future Debates in Video Data Analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1