AI job screeners prefer AI-written resumes over human ones, researchers find
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Read the original article: https://nypost.com/2026/05/16/us-news/artificial-intelligence-job-screeners-pref…
psychologyDetected Techniques
warning
Loaded Language
80% confidence
Using words with strong emotional connotations to influence an audience.
fact_checkFact-Check Results
9 claims extracted and verified against multiple sources including cross-references, web search, and Wikipedia.
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Single Source
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Insufficient Evidence
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“AI-powered applicant tracking systems, or ATS, not only prefer AI-written resumes over those composed by humans — they’re more likely to put candidates on the short list if they used the same large language model the company already employs.”
CORROBORATED
Multiple independent sources (LinkedIn, The Register, and other news snippets) confirm that AI hiring tools prefer AI-written resumes and specifically those generated by the same model used for evaluation.
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NEUTRAL
— Researchers tested whether AI hiring tools fairly compare human-written resumes against AI-written resumes. They often do not. The study found that large language models tend to prefer resumes that so…
https://www.linkedin.com/posts/eligunduz_ai-self-preferencin…
https://www.linkedin.com/posts/eligunduz_ai-self-preferencin…
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— Job seekers who use the same AI model to compose their resumes as the AI model used to evaluate their application are more likely to advance through the hiring process than those submitting human-writ…
https://www.theregister.com/2025/09/03/ai_hiring_biased/
https://www.theregister.com/2025/09/03/ai_hiring_biased/
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NEUTRAL
— AI hiring tools prefer AI-written resumes over human onesApplicants using employers’ AI tools get shortlisted moreArtificial intelligence systems used in hiring are showing a clear preference for resu…
https://www.moneycontrol.com/news/trends/ai-hiring-tools-may…
https://www.moneycontrol.com/news/trends/ai-hiring-tools-may…
““LLMs, when used as evaluators, systematically prefer resumes they generated themselves over equivalent resumes written by humans,” according to the study, “AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights.””
VERIFIED
The claim is directly supported by the abstract and findings of the specific study titled 'AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights'.
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— As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderatio…
https://arxiv.org/abs/2509.00462
https://arxiv.org/abs/2509.00462
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NEUTRAL
— Using a large-scale controlled resume correspondence experiment, we find that LLMs consistently prefer resumes generated by themselves over those written by humans or produced by alternative models, e…
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5417394
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5417394
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— We focus on the hiring context, where job applicants often rely on LLMs to refine resumes, while employers deploy them to screen those same resumes. Using a large-scale controlled resume correspondenc…
https://nodesk.co/articles/ai-self-preferencing-in-algorithm…
https://nodesk.co/articles/ai-self-preferencing-in-algorithm…
“The bias discovered by researchers Jiannan Xu of the University of Maryland, Gujie Li of the National University of Singapore and Jane Jiang of Ohio State University”
VERIFIED
Web search results explicitly name Jiannan Xu (University of Maryland), Gujie Li (National University of Singapore), and Jane Yi Jiang (Ohio State University) as the authors/researchers of the study.
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— Authors Jiannan Xu, a PhD candidate at the University of Maryland, Gujie Li, assistant professor at the National University of Singapore, and Jane Yi Jiang, assistant professor at Ohio State Universit…
https://www.theregister.com/2025/09/03/ai_hiring_biased/
https://www.theregister.com/2025/09/03/ai_hiring_biased/
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— Jiannan Xu, Gujie Li, and Jane Yi Jiang found that LLM hiring screeners tend to prefer resumes written by the same model evaluating them.A team from the University of Maryland, the National University…
https://www.linkedin.com/posts/kulembetov_ai-self-preferenci…
https://www.linkedin.com/posts/kulembetov_ai-self-preferenci…
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— University of Maryland. Email.AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights with Gujie Li and Jane Yi Jiang. Under Review – [SSRN]. Media Coverage: The Register.
https://jiannan-xu.github.io/research/
https://jiannan-xu.github.io/research/
“the August study, which was published on the research sharing platform arxiv.org in February.”
SINGLE SOURCE
The provided web search results for this specific claim returned generic educational sites (Study.com, StudyFetch) and did not provide the publication date or platform for the specific paper in question.
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NEUTRAL
— Take online courses on Study.com that are fun and engaging. Pass exams to earn real college credit. Research schools and degrees to further your education.
https://study.com/
https://study.com/
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NEUTRAL
— Master any subject with Studley AI. Trusted by more than 2,000,000 top students. Create beautiful and interactive notes, flashcards, quizzes and podcasts from any content. Study smarter, not harder.
https://www.studley.ai/
https://www.studley.ai/
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— StudyFetch builds a personalized study plan from your materials, breaking them into an ordered sequence of topics so you learn things the right way. Instead of guessing what to review, you get flashca…
https://www.studyfetch.com/
https://www.studyfetch.com/
“Emma Wiles, who studies information systems and AI’s impact on the labor market [is a] Boston University Professor”
VERIFIED
Multiple sources confirm Emma Wiles is a professor at Boston University's Questrom School of Business specializing in Information Systems.
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— Emma Wiles. Isabel Anderson Career Development Professor of Information Systems.Boston University. Google Scholar. ORCID.
https://www.emmawiles.com/
https://www.emmawiles.com/
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— Boston University Names Seven Junior Faculty Career Development Professors. This year’s recipients study from AI to the structure of the universe.
https://www.bu.edu/articles/2025/bu-junior-faculty-career-de…
https://www.bu.edu/articles/2025/bu-junior-faculty-career-de…
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— Emma Wiles is an Assistant Professor in the Information Systems group at Boston University’s Questrom School of Business and a digital fellow at the MIT Initiative on the Digital Economy.
https://ide.mit.edu/people/emma-wiles/
https://ide.mit.edu/people/emma-wiles/
“The researchers used 2,245 human-written resumes in their study, then created “multiple counterfactual versions using a range of state-of-the-art LLMs,” including GPT-4o and Deepseek-V3.1.”
SINGLE SOURCE
While the existence of GPT-4o and DeepSeek-V3.1 is confirmed via Wikipedia and Hugging Face, the specific methodology (2,245 resumes and counterfactual versions) is not explicitly detailed in the provided evidence snippets, though it aligns with the study's general description.
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— DeepSeek-R1-Zero was trained exclusively using GRPO RL without SFT. Unlike previous versions, it used no model-based reward. All reward functions were rule-based, "mainly" of two types (other types we…
https://en.wikipedia.org/wiki/DeepSeek
https://en.wikipedia.org/wiki/DeepSeek
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— Instructions to use deepseek-ai/DeepSeek-R1 with libraries, inference providers, notebooks, and local apps.DeepSeek-R1 series support commercial use, allow for any modifications and derivative works, …
https://huggingface.co/deepseek-ai/DeepSeek-R1
https://huggingface.co/deepseek-ai/DeepSeek-R1
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— ⚡️ Faster thinking: DeepSeek-V3.1-Think reaches answers in less time vs. DeepSeek-R1-0528🛠️ Stronger agent skills: Post-training boosts tool use and multi-step agent tasks
https://api-docs.deepseek.com/news/news250821
https://api-docs.deepseek.com/news/news250821
“They then simulated hiring pipelines for 24 occupations, and found the AI evaluators were 23% to 60% more likely to select candidates which used the same LLM.”
SINGLE SOURCE
The search results for this claim returned generic simulation software (PhET, Gizmos) and did not contain the specific statistics (24 occupations, 23% to 60% likelihood) from the research paper.
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NEUTRAL
— Free science and math simulations for teaching STEM topics, including physics, chemistry, biology, and math, from University of Colorado Boulder
https://phet.colorado.edu/
https://phet.colorado.edu/
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— Unlock STEM potential with our 550+ virtual labs and interactive math and science simulations. Discover engaging activities and STEM lessons with Gizmos!
https://gizmos.explorelearning.com/
https://gizmos.explorelearning.com/
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NEUTRAL
— Free interactive simulations and professional engineering tools for science, engineering, and finance. From beam deflection calculators to thermodynamic cycle simulators — explore, calculate, and veri…
https://simulations4all.com/
https://simulations4all.com/
“The problem was “most severe” in accounting, sales and finance, the research found.”
SINGLE SOURCE
The search results provided for this claim are either irrelevant (PFAS chemicals) or general descriptions of the study's design, without mentioning the specific sectors (accounting, sales, finance) where the bias was most severe.
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— found to have much higher levels of the endocrine-disrupting chemicals PFAS.
https://www.tandfonline.com/doi/full/10.1080/19440049.2023.2…
https://www.tandfonline.com/doi/full/10.1080/19440049.2023.2…
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— To empirically examine AI self-preference bias as defined in Section 3, we design a series of resume correspondence experiments (Bertrand and Mullainathan 2004) in which LLMs act as evaluators (evalua…
https://arxiv.org/pdf/2509.00462
https://arxiv.org/pdf/2509.00462
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NEUTRAL
— If left unchecked, self-preference could subtly distort evaluative processes. across hiring, education, publishing, and more—privileging those who employ the same AI system. Author: AI Self-preferenci…
https://www.researchgate.net/publication/395059710_AI_Self-p…
https://www.researchgate.net/publication/395059710_AI_Self-p…
“More than 300,000 job cuts were announced between January and April 2026, particularly in the tech sector, research firm Challenger, Gray & Christmas found.”
INSUFFICIENT EVIDENCE
No evidence was found in the search results to support the claim regarding job cuts in 2026 by Challenger, Gray & Christmas.
info
Disclaimer: This analysis is generated by AI and should be used as a starting point for critical thinking, not as definitive truth. Claims are verified against publicly available sources. Always consult the original article and additional sources for complete context.