Tools, Potential, and Pitfalls of Social Media Screening: Social Profiling in the Era of AI-Assisted Recruiting

IF 1.8 2区 文学 Q3 BUSINESS
Yeqing Kong, Huiling Ding
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引用次数: 0

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.
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
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。
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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.
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