社交媒体筛选的工具、潜力和陷阱:人工智能辅助招聘时代的社会概况

IF 1.8 2区 文学 Q3 BUSINESS Journal of Business and Technical Communication Pub Date : 2023-09-18 DOI:10.1177/10506519231199478
Yeqing Kong, Huiling Ding
{"title":"社交媒体筛选的工具、潜力和陷阱:人工智能辅助招聘时代的社会概况","authors":"Yeqing Kong, Huiling Ding","doi":"10.1177/10506519231199478","DOIUrl":null,"url":null,"abstract":"Employers are increasingly turning to innovative artificial intelligence recruiting technologies to evaluate candidates’ online presence and make hiring decisions. Such social media screening, or social profiling, is an emerging approach to assessing candidates’ social influence, personalities, and workplace behaviors through their publicly shared data on social networking sites. This article introduces the processes, benefits, and risks of social profiling in employment decision making. The authors provide important guidance for job applicants, technical and professional communication instructors, and hiring professionals on how to strategically respond to the opportunities and challenges of automated social profiling technologies.","PeriodicalId":46414,"journal":{"name":"Journal of Business and Technical Communication","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tools, Potential, and Pitfalls of Social Media Screening: Social Profiling in the Era of AI-Assisted Recruiting\",\"authors\":\"Yeqing Kong, Huiling Ding\",\"doi\":\"10.1177/10506519231199478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Employers are increasingly turning to innovative artificial intelligence recruiting technologies to evaluate candidates’ online presence and make hiring decisions. Such social media screening, or social profiling, is an emerging approach to assessing candidates’ social influence, personalities, and workplace behaviors through their publicly shared data on social networking sites. This article introduces the processes, benefits, and risks of social profiling in employment decision making. The authors provide important guidance for job applicants, technical and professional communication instructors, and hiring professionals on how to strategically respond to the opportunities and challenges of automated social profiling technologies.\",\"PeriodicalId\":46414,\"journal\":{\"name\":\"Journal of Business and Technical Communication\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Business and Technical Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/10506519231199478\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business and Technical Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/10506519231199478","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

雇主们越来越多地转向创新的人工智能招聘技术,以评估候选人的在线表现,并做出雇佣决定。这种社交媒体筛选或社交侧写是一种新兴的方法,通过应聘者在社交网站上公开分享的数据来评估他们的社会影响力、个性和工作场所行为。这篇文章介绍了在就业决策中社会分析的过程、好处和风险。作者为求职者、技术和专业沟通导师以及招聘专业人员提供了重要的指导,指导他们如何战略性地应对自动化社会分析技术的机遇和挑战。
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
Tools, Potential, and Pitfalls of Social Media Screening: Social Profiling in the Era of AI-Assisted Recruiting
Employers are increasingly turning to innovative artificial intelligence recruiting technologies to evaluate candidates’ online presence and make hiring decisions. Such social media screening, or social profiling, is an emerging approach to assessing candidates’ social influence, personalities, and workplace behaviors through their publicly shared data on social networking sites. This article introduces the processes, benefits, and risks of social profiling in employment decision making. The authors provide important guidance for job applicants, technical and professional communication instructors, and hiring professionals on how to strategically respond to the opportunities and challenges of automated social profiling technologies.
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
CiteScore
5.10
自引率
18.20%
发文量
16
期刊介绍: JBTC is a refereed journal that provides a forum for discussion of communication practices, problems, and trends in business, professional, scientific, and governmental fields. As such, JBTC offers opportunities for bridging dichotomies that have traditionally existed in professional communication journals between business and technical communication and between industrial and academic audiences. Because JBTC is designed to disseminate knowledge that can lead to improved communication practices in both academe and industry, the journal favors research that will inform professional communicators in both sectors. However, articles addressing one sector or the other will also be considered.
期刊最新文献
Automating Research in Business and Technical Communication: Large Language Models as Qualitative Coders Using Generative AI to Facilitate Data Analysis and Visualization: A Case Study of Olympic Athletes On the Current Moment in AI: Introduction to Special Issue on Effects of Artificial Intelligence Tools in Technical Communication Pedagogy, Practice, and Research, Part 1 Comparing Student and Writing Instructor Perceptions of Academic Dishonesty When Collaborators Are Artificial Intelligence or Human Preparing Future Technical Editors for an Artificial Intelligence-enabled Workplace
×
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