The Influence of AI-Powered Recruitment and Social Media Screening on Selection Accuracy in Organizations

Abstract

This paper explores how AI tools in recruiting and social media screening can affect the accuracy of hiring decisions in companies. As technology progresses, the recruitment process is gradually moving away from paper-based and towards automated, data-driven techniques, creating more efficient and less biased recruitment processes. The research method involves quantitative and analytical approaches whereby primary data is collected from 200 respondents from different industries through a structured questionnaire. Applying statistical tools like reliability analysis, factor analysis, and regression techniques was used to determine the relationships between variables. The results show that AI recruitment can indeed enhance the accuracy of candidate selection by helping to evaluate candidates objectively and lowering time-to-hire. Likewise, social media screening offers further information about candidates' behaviors, personality, and cultural fit, which improves the decision-making process. These technologies, when combined, show the highest impact and account for a significant amount of variance in selection accuracy. The study also raises several questions about the privacy of data, algorithmic biases, and ethical issues. The study suggests AI and social media screening, when combined, provide a more effective and streamlined hiring process that promotes transparency and accuracy yet highlights the importance of responsible and ethical application in organizational environments.