bretthollenbeck/fake-reviews-data

Let’s Talk About Amazon Reviews: How We Spot the Fakes

Lauren Dragan takes a look at the world of compensated reviews and astroturfing, and explains how we tell the real Amazon reviews from the fakes.

Fakebook: Using Data Science to Spot Fake News

As fake news permeates throughout social media outlets (like Facebook), it's more important than ever to identify what is fact vs. fiction. This is especially true in the age of COVID where the spread of misinformation can impact the spread of the virus. Data scientists are emerging on the front lines of this fight, using programs to help them identify fake news sources. Led by Dr. Teon Brooks, Josh Modeste, and Steven Azeka from the Gotham Data Clinic (fka CiELabs), this workshop will explore the “life cycle” of scientific research and how scientists come to consensus about how we interpret data. We’ll examine what to look for in credible news sources, and the consequences of leaning on not-so-trusty pseudoscientific sources. Then you’ll put that knowledge to work by developing a rubric for identifying fake news. No experience necessary!   https://www.eventbrite.com/e/fakebook-using-data-science-to-spot-fake-news-tickets-137833492687

“Paging Dr. Fraud”: The Fake Publishers That Are Ruining Science

For years, spurious journals have proliferated online, promising academic credibility in exchange for cash.

The Increasing Problem With the Misinformed - Baekdal

Baekdal is your premium site for media reports and trend analysis. Subscribe from €7.55/month

White House Health Report Included Fake Citations (Published 2025)

A report on children’s health released by the Make America Healthy Again Commission referred to scientific papers that did not exist.

GRN · German Reproducibility Network

Working together for trustworthy and useful research

The review mills, not just (self-)plagiarism in review reports, but a step further

Review mills sum up a new category of reviewer misconduct that flies in the face of reviewer ethics and integrity. A pattern of generic, vague, and repeated affirmations (identical or very similar boilerplate phrasing) is noted in the analysis of 263 review reports, regardless of the scientific content of the papers under review, coupled with coercive citation (perhaps among the main reasons for such behavior), which when combined produce fake reviews. The misconduct associated with review mills is unlike mere plagiarism (self-plagiarism) of reviewer comments. It is important to quantify the problem and to take urgent measures: (a) to identify the review millers; (b) to rectify the published literature; and (c) to determine procedures for journals and publishers on procedures to counter this new type of misconduct.

Librarian finds ‘preposterous number’ of fake references in paper from Springer Nature journal

Gunnar Ridderström/Pexels As a hospital librarian, Jessica Waite is typically successful at tracking down elusive articles for clinicians at Royal Hallamshire Hospital in England. So when a colleag…

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Fabricated citations: an audit across 2·5 million biomedical papers

Scientific literature depends on the integrity of its references. Each reference implicitly asserts that a verifiable source exists and supports the claims being made. When references point to non-existent studies, readers, reviewers, and policy makers are unable to evaluate the evidence.

Fabricated citations: an audit across 2·5 million biomedical papers

Scientific literature depends on the integrity of its references. Each reference implicitly asserts that a verifiable source exists and supports the claims being made. When references point to non-existent studies, readers, reviewers, and policy makers are unable to evaluate the evidence.

[109] Data Falsificada (Part 1): "Clusterfake" - Data Colada

This is the introduction to a four-part series of posts detailing evidence of fraud in four academic papers co-authored by Harvard Business School Professor