The present research describes the development and validation of a measure of job seekers' attitudes toward cybervetting (ATC). Study 1 involved a sample of participants completing an initial pool of items focusing on one platform (i.e., Facebook) and conducting an exploratory factor analysis. Study 2 included a confirmatory factor analysis and an exploratory structural equation model to establish convergent and discriminant validity. Results of both studies confirmed that the hypothesized three‐factor structure (perceived justice, privacy invasion, and face validity) provided a good fit to the data, explained over 67% of total variance, with all three factors demonstrating high internal consistencies. Study 3 examined the measurement equivalence of the ATC measure, and demonstrated its factor structure and reliability, across four social media platforms (Facebook, LinkedIn, Twitter, and Instagram). Comparing applicants' attitudes across platforms showed significantly more favorable perceptions toward LinkedIn‐based cybervetting than for the other three platforms.

中文翻译：

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求职者对网络审查的态度：规模开发，验证和平台比较

本研究描述了求职者对网络审查（ATC）态度的度量方法的开发和验证。研究1涉及一个参与者样本，该参与者完成了针对一个平台（即Facebook）的初始项目库并进行了探索性因素分析。研究2包括验证性因素分析和探索性结构方程模型，以建立收敛性和判别性有效性。两项研究的结果均证实，假设的三因素结构（感知到的正义，隐私入侵和面部有效性）与数据非常吻合，解释了总方差的67％以上，这三个因素均表明内部一致性很高。研究3检查了ATC量度的等价度，并证明了其因素结构和可靠性，跨四个社交媒体平台（Facebook，LinkedIn，Twitter和Instagram）。比较申请人在各个平台上的态度，表明他们对基于LinkedIn的网络审查的看法要比其他三个平台好得多。