作为社会科学数据的社交媒体

IF 2.4 Q1 EDUCATION & EDUCATIONAL RESEARCH JOURNAL OF PUBLIC AFFAIRS EDUCATION Pub Date : 2023-08-21 DOI:10.1080/15236803.2023.2234539
Eric Stokan
{"title":"作为社会科学数据的社交媒体","authors":"Eric Stokan","doi":"10.1080/15236803.2023.2234539","DOIUrl":null,"url":null,"abstract":"Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity and transform social media’s vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one’s own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.","PeriodicalId":46422,"journal":{"name":"JOURNAL OF PUBLIC AFFAIRS EDUCATION","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social media as social science data\",\"authors\":\"Eric Stokan\",\"doi\":\"10.1080/15236803.2023.2234539\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity and transform social media’s vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one’s own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.\",\"PeriodicalId\":46422,\"journal\":{\"name\":\"JOURNAL OF PUBLIC AFFAIRS EDUCATION\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF PUBLIC AFFAIRS EDUCATION\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/15236803.2023.2234539\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF PUBLIC AFFAIRS EDUCATION","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15236803.2023.2234539","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

摘要

社交媒体以前所未有的规模将大众传播掌握在普通人手中,也为社会科学家提供了倾听世界各地普通人声音的必要工具。这本书为社会科学家提供了利用这一机会并将社交媒体的大量信息流转化为社会科学数据所需的技能。这本书结合了计算机科学的大数据技术和社会科学方法论。本书旨在为高级本科生、研究生和社会科学研究人员提供一本文本,为希望利用这一新的、不断发展的数据来源的学者提供了一条方法论途径。它提供了一个构建自己的数据收集和分析基础设施的框架,一个内容分析、地理分析和网络分析的工具包,以及对社交媒体数据的道德含义的思考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Social media as social science data
Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity and transform social media’s vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one’s own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
JOURNAL OF PUBLIC AFFAIRS EDUCATION
JOURNAL OF PUBLIC AFFAIRS EDUCATION EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
5.00
自引率
36.00%
发文量
34
期刊最新文献
Observation and reporting: a teaching case on implicit bias and decision fallacies Keeping the academy queer: Lessons from the queer community for the future of public affairs education Enhancing doctoral training with reflexive practices: Insights from a collaborative autoethnography River city cuts back: A balancing act simulation Preparing future nonprofit social enterprise leaders: a research-based instructional needs 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