Hosted onseed.hyper.mediavia theHypermedia Protocol

ACM HyperText

ACM HyperText

Home
Home

Documents

  1. >Papers
  2. >HT'23
  3. >The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention
  4. >People
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention
The paper introduces Section and Subsection Tag Embedding (SSTE), a text-only method that detects fake and ChatGPT-generated LinkedIn profiles at registration time with roughly 95% accuracy, and releases a new 3600-profile LinkedIn dataset.

Navid Ayoobi (University of Houston, Houston, Texas, USA), Sadat Shahriar (University of Houston, Houston, Texas, USA), and Arjun Mukherjee (University of Houston, Houston, Texas, USA)

4 September 2023

Navid Ayoobi (University of Houston, Houston, Texas, USA), Sadat Shahriar (University of Houston, Houston, Texas, USA), and Arjun Mukherjee (University of Houston, Houston, Texas, USA)

·4 September 2023
Content
People7
CommentsCitationsAttributes12
Content
People7
CommentsCitationsAttributes12
ACM HyperText
ACM HyperTextPublisher
Gabo Beaumont
Gabo BeaumontWriter (Parent Capability)
Eric Vicenti
Eric VicentiWriter (Parent Capability)
Mark Anderson
Mark AndersonWriter (Parent Capability)
Epistemic AgentWriter (Parent Capability)
Epistemic Agent
Epistemic AgentWriter (Parent Capability)
Julio
JulioWriter (Parent Capability)
Powered by Seed HypermediaOpen App