Abstract: This research investigates the role of social media in simplifying and enhancing the recruitment and selection process. Traditional recruitment methods often face challenges such as limited outreach, slower response times, and high operational costs, which can hinder effective talent acquisition. To address these limitations, the study adopts a quantitative research design using a structured questionnaire targeting HR professionals and recruitment staff within the organisation. The data collected was analysed using SPSS software to extract meaningful patterns and statistically significant insights. The findings indicate that the strategic use of social platforms not only broadens the talent pool but also improves the speed and quality of hiring. Customised content, real-time engagement, and employer branding efforts were found to positively influence candidate attraction and perception. Furthermore, integrating AI tools in social media recruitment, such as automated screening and analytics, enhanced efficiency and candidate-job fit. Despite these benefits, the study also identifies key challenges such as content saturation, platform limitations, and concerns regarding data privacy and misrepresentation. Nonetheless, the research emphasises the increasing importance of digital recruitment in technology-driven firms. By offering practical recommendations, including content personalisation, engagement tracking, AI integration, and brand consistency, the study provides a roadmap for organisations seeking to modernise their recruitment strategies. Ultimately, this research contributes to the broader discourse on digital human resource management and offers valuable insights into how social media can be leveraged to create a more agile, cost-effective, and impactful hiring process

Keywords: Social Media Recruitment, Selection Process, Artificial Intelligence, Employer Branding, Candidate Engagement, Digital Hiring, Talent Acquisition, Recruitment Simplification, Data-Driven HRM.

| DOI: 10.17148/IARJSET.2025.125208