A newly compiled dataset has shed light on the scale and pricing structure of the market for purchased authorship in academic research, highlighting ongoing concerns about research integrity and the evolving tactics of paper mills.
The dataset, known as BuyTheBy, aggregates more than 18,000 advertisements collected between March 2020 and April 2026 from seven paper mill operations across multiple countries. These advertisements promote authorship positions on manuscripts, along with other academic credentials, revealing a wide pricing spectrum for first-author slots ranging from approximately $56 to over $5,600.
According to the researchers behind the dataset, this represents one of the first systematic efforts to quantify how paper mills operate commercially. The analysis indicates that pricing varies significantly by region, with lower-cost offers commonly linked to operations targeting researchers in lower-income settings, while higher-priced listings are associated with markets where academic advancement carries greater financial incentives.
Evidence suggests that some advertised manuscripts later appeared in academic journals with identical or closely matching titles. However, establishing definitive links between advertisements and published articles remains challenging, as paper mills may alter titles, authorship lists, or target journals during the submission process.
Paper mills function as intermediaries that provide fabricated or heavily manipulated manuscripts and sell authorship positions to individuals seeking rapid academic advancement. This model has expanded over the past decade, particularly in environments where publication metrics are tied to career progression, funding opportunities, or institutional recognition.
In addition to journal authorship, the dataset reveals that paper mills advertise a broad range of academic outputs, including conference papers, patents, book authorship, and even awards, suggesting that any measurable indicator of academic productivity may be commodified.
The findings also point to disciplinary differences, with higher prices often associated with fields such as medicine and engineering, while comparatively lower costs are observed in business and education-related publications. However, the dataset was not designed to draw definitive conclusions about disciplinary pricing trends.
Publishers and research integrity experts acknowledge that detecting and addressing such practices remains difficult. While some cases are identified before publication, others may only surface post-publication through retractions or external scrutiny. The adaptive nature of paper mills, particularly with the integration of AI-generated content, adds further complexity to detection efforts.
Research integrity specialists emphasize that no single indicator can reliably identify fraudulent publications. Instead, a combination of signals, including inconsistencies in authorship contributions, unusual submission patterns, and similarities to known advertisements, may be required to flag potential cases.
The dataset’s creators describe it as a starting point for further investigation rather than a comprehensive map of the paper mill ecosystem. Notably, it does not include data from some major regions known for such activity, nor does it confirm whether advertised transactions were completed.
The broader implication is that the commercialization of academic authorship continues to evolve alongside technological advancements. While datasets like BuyTheBy provide valuable insight into the structure of this market, stakeholders across the publishing ecosystem, including journals, institutions, and funding bodies, face ongoing challenges in developing effective and scalable responses.
This case underscores the need for strengthened editorial screening processes, clearer authorship verification practices, and continued collaboration across the scholarly publishing community to safeguard research integrity.