Conference paper submission filter that detects AI-generated author bios, fabricated affiliations, and synthetic researcher profiles using Claude API - protecting journal integrity and reviewer credibility.
Request Early AccessAcademic conferences face an unprecedented wave of submissions with fabricated author credentials:
Editorial teams manually flag these submissions, consuming hours per conference. False submissions waste reviewer bandwidth and undermine paper quality.
Connect your submission platform (OJS, Scholar One, Easychair) or upload CSV with author names, bios, and affiliations.
Send author profiles to Claude API. The model checks: tone consistency with genuine researchers, plausibility of affiliation + bio pairing, patterns indicative of synthetic generation.
Receive confidence scores (0-100) for each author profile: synthetic-generated, overinflated credentials, institutional mismatch. Detailed reasoning for editorial review.
Flag high-risk submissions for manual review. Admins can reject outright or request author verification. Reduce false positives via editorial override feedback.
Identifies author bios written by AI models using linguistic and structural patterns that distinguish generated from human-authored text.
Cross-references institutional claims with public databases. Flags implausible or fabricated university affiliations.
Checks consistency between claimed expertise, publication history (if available), and bio narrative. Catches overinflated or contradictory credentials.
Process 100+ submissions in minutes. Scale with conference size. No per-author cap or manual bottleneck.
Web interface for review teams. Sort by risk score, bulk-action flagged submissions, export reports for board review.
Editors override false positives to retrain the filter. Improves accuracy over time for your specific conference discipline.
Conference Organizers: Reduce manual vetting of 500+ submissions by 40-60%. Focus editor time on paper quality, not author credential validation.
Editorial Teams: Get AI-backed risk signals, not binary accept/reject. Make faster, more confident decisions about suspicious submissions.
Reviewers: Receive only submissions with credible author bios. Fewer "fake" papers waste review time and dilute conference reputation.
Let's talk. Schedule a 15-minute call with our team to discuss your conference's author vetting challenges, see a live demo, and explore a custom plan.
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