Quarterly indexes and open datasets on ghost jobs, recruiter fraud, and hiring scams. Reproducible methodology, CC-BY licensing, full sample frames. Cited by national press and labor regulators in three jurisdictions.
Repeatable, comparable measurements of ghost-job prevalence, recruiter-fraud rates, and salary-bait incidence — published the third week of every quarter.
De-identified samples, label schemas, and exemplar payloads released under CC-BY-4.0 so journalists, regulators, and researchers can reproduce our findings.
Currently 12 labor markets across North America, Europe, LATAM, and APAC. New markets are added when our sample frame reaches 50K postings.
Use freely with attribution. Journalist briefing requests: research@sentari.ai
Largest open analysis of ghost listings across 12 labor markets. Crossed 22% share for the first time, with software, marketing, and operations roles most affected. Includes per-platform breakdowns and ATS-source attribution.
PDF · 38pp + CC-BY-4.0 dataset
Year-over-year tracking of recruiter impersonation, including a new typology of cloned-company outreach campaigns. We document a 3.1× rise in WhatsApp-pivot scams since 2024.
PDF · 52pp + JSON exemplars
Empirical study of postings whose advertised compensation bands exceed market p75 by ≥40%. We find a strong correlation with downstream off-platform pressure and identity-data collection.
Pre-print · 24pp
Mystery-applicant study of 1,200 entry-level postings flagged for likely data-harvesting intent. We characterize the conversion funnel from posting to ID upload.
PDF · 18pp + protocol annex
Suggested citation for the flagship ghost-job index:
Sentari Research. (2026). Ghost-Job Index, Q1 2026. Sentari Workforce Intelligence, Inc. https://sentari.ai/research#ghost-q1-2026 Licensed CC-BY-4.0.
Every report includes a machine-readable citation in the dataset README.
Journalists, regulators, and academic researchers can request embargoed pre-release briefings and custom slices of the underlying data.