LinkedIn study reveals rising job scam awareness among Indian professionals
New findings from LinkedIn show rising caution among Indian job seekers, with 82% checking for scams before applying. However, Gen Z professionals remain vulnerable, prompting LinkedIn to introduce stronger verification, detection and safety measures across its platform.
Hyderabad: New research from LinkedIn revealed that Indian professionals are becoming increasingly cautious about job scams during their job search, with more than four in five (82 per cent) pausing to assess whether a role is legitimate before applying. More than half (53 per cent) said they are more likely to question whether a job is a scam than they were a year ago.
Findings from LinkedIn’s Job Search Safety Pulse highlight a growing awareness of job scams across the market, alongside a more nuanced risk for early‑career professionals. While awareness continues to rise, the pressure to secure opportunities can sometimes override caution – especially in the early stages of a career.
While professionals across age groups are becoming more vigilant, the data shows that early-career job seekers can still be vulnerable in specific moments. More than half (54 per cent) of Gen Z job‑seekers admit they have overlooked warning signs at times when opportunities felt too important to pass up, highlighting how urgency and competition can influence decision-making.
Nearly half (49 per cent) of Indian Gen Z professionals said they have come close to falling for a job scam, compared to 36 per cent of Gen X, pointing to higher exposure to scam-related situations among younger job‑seekers.
LinkedIn uses a three‑layer defence against job scams, including detection and stopping fake accounts, scam messages and fraudulent job postings, verification for companies, recruiters, jobs and the ability to apply and communicate on LinkedIn.
LinkedIn has recently introduced new measures which help keep job-seekers safe, including requiring ID verification for high-risk job posters, reducing visibility of posts and comments that may be more likely to be scams, and enhancing spam filtering and detection systems.
