Fake Job Ads Are Everywhere. This Internet Vigilante Has Removed 60,000 of Them.
7 Articles
7 Articles
39-Year-Old Is on a Mission to Take Down Job Scams
Job hunters scrolling LinkedIn may never see a recruiter at "Confidential Jobs" named "Linda Anthony," but Jay Jones can't stop seeing her. In a piece for the Wall Street Journal, Lindsay Ellis reports the 39-year-old unemployed copywriter turned scam-hunter claims to have identified nearly 60,000 bogus jobs listings and...
An unemployed person starts to hunt down fictitious job offers and manages to have 60,000 of them removed in two years. He flays the laxity of the platforms in the face of this scourge that strikes job seekersA self-proclaimed vigilante nicknamed "The Profiler" has set himself the mission of tracking fake job offers on the Internet. These fictitious ads serve insidious objectives and are wreaking havoc among job seekers. Since 2023, The Profiler…
Looking for work already has enough wear and tear to make anyone who contacts you want to empty your pocket. That's precisely what puts on the table Jay Jones, a user who has turned the search for job fraud into a daily task. His case leaves a rather uncomfortable question for LinkedIn: what's the point of transmitting The entry Nearly 60,000 fake job offers and thousands of reported profiles: a user exposes LinkedIn cracks thanks to AI aparece …
On the career network LinkedIn, US-American Jay Jones, who was originally unemployed, exposed around 60,000 fake job advertisements. Criminals use artificial intelligence and captured accounts to collect sensitive data from applicants. (Continue reading)
Man Spends Two Years Hunting LinkedIn Scams, Finds 60,000 Fake Jobs
Stock Image A Chicago-area job seeker has spent the past two years tracking fraudulent job listings and recruiter profiles across the internet, claiming he has helped remove nearly 60,000 fake postings, most of them from LinkedIn. Jay Jones, who calls himself “The Profiler,” began investigating employment scams after losing his advertising job in late 2023. […]
Coverage Details
Bias Distribution
- 50% of the sources lean Left, 50% of the sources lean Right
Factuality
To view factuality data please Upgrade to Premium










