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Signals @research-signals.bsky.social · 21/07/2025

Today we’re launching Sleuth AI — Signals’ AI-powered research integrity assistant research-signals.com/2025/07/21/s...

Signals @research-signals.bsky.social · 05/06/2025

The MAHA report is a clear example of how research credibility issues can have real-world consequences The report cited studies that don’t exist and falsely attributed them to real researchers. AI hallucinations are now putting researchers’ reputations at risk research-signals.com/2025/05/27/f...

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Fake attributions: a persistent and evolving research integrity problem – Signals

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Signals @research-signals.bsky.social · 27/05/2025

What research integrity issue connects AI researcher Yann LeCun with 1980s cardiac drug research in dogs? It’s fake attributions in scholarly publications These tactics are used to increase credibility, but mislead readers and damage reputations Read more 👇 research-signals.com/2025/05/27/f...

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Fake attributions: a persistent and evolving research integrity problem – Signals

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Signals @research-signals.bsky.social · 20/05/2025

High-profile research fraud at MIT 🔴 A study on AI and scientific discovery that gained media attention has been withdrawn following an internal review Read our latest blog to learn more about the case👇 research-signals.com/2025/05/19/m...

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Research Fraud at MIT: High-Profile Study Was Too Good to Be True – Signals

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Signals @research-signals.bsky.social · 17/04/2025

What does the future of research integrity look like? We asked Wu Guangheng (@5gh.bsky.social), research integrity sleuth and founder president of the 5GH Foundation Read the interview on the Signals blog: research-signals.com/2025/04/16/e...

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Expert perspective: Wu Guangheng Looks at the Future of Research Integrity – Signals

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Signals @research-signals.bsky.social · 04/03/2025

We attended @r2rconf.bsky.social and spoke about ‘The Future of Research Integrity’ As part of our talk, we asked the audience for their views on the future of research integrity We received some interesting insights, which we’ve shared in our latest blog post research-signals.com/2025/03/04/r...

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The future of research integrity: insights from the audience at Researcher to Reader – Signals

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Signals @research-signals.bsky.social · 20/02/2025

We provided data and analysis for this insightful @nature.com article, exploring institutional retraction rates: www.nature.com/articles/d41... Institutions can play a key role in preventing misconduct and correcting the scholarly record when issues are identified

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This link will take you to a page that’s not on LinkedIn

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Signals @research-signals.bsky.social · 10/02/2025

Last year, we introduced Expert Contributions This enables researchers to surface potentially problematic research or highlight great work in Signals, and have their contributions amplified through the Signals Data Graph Want to learn more or get involved? 👇 research-signals.com/2024/12/04/e...

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Signals launches Expert Contributions: amplifying insights from the community to restore trust in research – Signals

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Signals @research-signals.bsky.social · 06/02/2025

In an Expert Contribution, @mumumouse2.bsky.social flagged an article with a suspicious trace What’s also interesting is that two of the authors' self-citations have been flagged for suspicious traces See the details on Signals 🔴 : app.research-signals.com/publication/...

app.research-signals.com

Signals

Research Signals

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Signals @research-signals.bsky.social · 29/01/2025

We're on a mission to restore trust in research. Our platform helps publishers, researchers, and institutions evaluate the trustworthiness of any research article research-signals.com

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Signals

Research Signals

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