LinkedIn Fake Profile Dataset
A LinkedIn dataset of 3,600 profiles: 1,800 legitimate, 600 fake and 1,200 generated by ChatGPT (600 from legitimate profiles' statistics, 600 from fake ones'), released by Ayoobi, Shahriar and Mukherjee (ACM Hypertext 2023). Each record holds the profile sections visible before connecting: intro, about, experience, education, skills, languages, interests, licences and more, with counts per section. Suitable for fake and LLM-generated profile detection.
Cite this dataset at
linkedin-fake-profile.echo.directory
Analytics
The full graph has 10,149 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
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Computed over the full corpus.
Record
- Catalog key
linkedin_fake_profile- Authors
- Ayoobi, Navid; Shahriar, Sadat; Mukherjee, Arjun
- Year
- 2023
- Source paper
- The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention
- DOI / arXiv
- 10.1145/3603163.3609064
- License
- Academic use — see GitHub repo (LicenseRef-Research-Only)
- Records
- 3,600
- Nodes
- 10,149
- Edges
- 14,382
- Nodes are
- user
- Edges are
- connection
- Attributes
- nodes have no attributes; edges have attributes
- Text corpus
- profile text
- Languages
- en
- Collected
- 2023 (2020s)
- Tasks
- Bot detection (multi-class;
label) inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://github.com/navid-aub/LinkedIn-Dataset link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 19.8 MB across 2 files. Checksums in MANIFEST.json.
Citations
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention
Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee
Book · ACM Conference on Hypertext & Social Media · 2023
Cited by
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Li Lin, Neeraj Gupta et al. · arXiv.org · 2024 · cited 114× - A Survey on the Use of Large Language Models (LLMs) in Fake News
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Wafaa Kasri, Yassine Himeur et al. · De Computis · 2025 · cited 63×
Show all 10
- Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
Zhixin Lai, Xue-Sheng Zhang et al. · IEEE International Joint Conference on Neural Network · 2024 · cited 51× - Navigating the Web of Disinformation and Misinformation: Large Language Models as Double-Edged Swords
Siddhant Bikram Shah, Surendrabikram Thapa et al. · IEEE Access · 2025 · cited 51× - Lateral Phishing With Large Language Models: A Large Organization Comparative Study
Mazal Bethany, Athanasios Galiopoulos et al. · IEEE Access · 2024 · cited 44× - A Preliminary Exploration of YouTubers' Use of Generative-AI in Content Creation
Yao Lyu, Zhang He et al. · CHI Extended Abstracts · 2024 · cited 42× - An outline of Prognostics and health management Large Model: Concepts, Paradigms, and challenges
Laifa Tao, Shangyu Li et al. · Mechanical systems and signal processing · 2025 · cited 26×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{Ayoobi_2023,
series = {HT ’23},
title = {The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention},
url = {http://dx.doi.org/10.1145/3603163.3609064},
doi = {10.1145/3603163.3609064},
booktitle = {Proceedings of the 34th ACM Conference on Hypertext and Social Media},
publisher = {ACM},
author = {Ayoobi, Navid and Shahriar, Sadat and Mukherjee, Arjun},
year = {2023},
month = Sept,
pages = {1–10},
collection = {HT ’23}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Ayoobi, N., Shahriar, S., & Mukherjee, A. (2023). LinkedIn Fake Profile Dataset [Data set]. https://doi.org/10.1145/3603163.3609064
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Ayoobi, Navid, et al. LinkedIn Fake Profile Dataset. 2023, doi.org/10.1145/3603163.3609064.