Naturally occurring language as a source of evidence in suicide prevention

We discuss computational language analysis as it pertains to suicide prevention research, with an emphasis on providing non‐technologists with an understanding of key issues and, equally important, considering its relation to the broader enterprise of suicide prevention. Our emphasis here is on naturally occurring language in social media, motivated by its non‐intrusive ability to yield high‐value information that in the past has been largely unavailable to clinicians.     

The Effects of Applicant Résumé Contents on Recruiters' Hiring Recommendations: The Mediating Roles of Recruiter Fit Perceptions

The résumé is the most commonly used selection tool for organisations. Past studies have demonstrated that recruiter hiring recommendations can be predicted based on the content of applicant résumés. However, the mechanisms underlying the links between résumé contents and hiring recommendations remain unclear. The present study extends previous research by examining the mediating roles of recruiters' multi‐faceted fit perceptions in a field setting. Data were collected from 216 organisational recruiters who participated in campus recruitment at seven universities in Taiwan. The results showed that applicant work experience and educational background increased recruiter hiring recommendations through recruiter perceived person–job (P–J) fit. In addition, applicant work experience predicted recruiter perceived person–organisation (P–O) fit, which in turn enhanced recruiter hiring recommendations.