The authors of an much-ballyhooed 2017 paper about the spread of fake news on social media have retracted their article after finding that they’d botched their analysis.
The paper, “Limited individual attention and online virality of low-quality information,” presented an argument for why bogus facts seem to gain so much traction on sites such as Facebook. According to the researchers — — from Shanghai Institute of Technology, Indiana University and Yahoo — the key was in the sheer volume of bad information, which swamps the brain’s ability to discern the real from the merely plausible or even the downright ridiculous, competing with limited attention spans and time.
One of the suggestions we get regularly here at Retraction Watch is something along the lines of “This researcher publishes too much. You should look into that.” But how much is too much?
The phenomenon was the subject of a 2015 paper. It’s also the subject of a new article in Nature by John Ioannidis, of Stanford, and researchers at SciTech Strategies. The new article is unlikely to answer the question of how much is too much. But it provides some fascinating figures on just how often some authors publish, and even more so how they respond when asked just how they manage to publish so much, in the process raising questions about whether measuring productivity and quality in science should involve a ruler for stacked papers.Continue reading When it comes to authorship, how prolific is too prolific?
What happened appears to be a case of “he said, she said:” Littman asked to retract the paper after his lab couldn’t reproduce it, and Huang insists the data remain correct, saying the process had been “unfair and done without due process:”
More than two thousand researchers have signed a petition to boycott a new Nature journal over the fact it will be available only by subscription.
The new journal — Nature Machine Intelligence, about machine learning — plans to charge readers for access, unlike most other journals in the field. The researchers who signed the petition have pledged not to submit their work to the new journal, and will decline to review or edit papers for it, as well.
Most journals published by Nature Publishing Group are available only by subscription — but that doesn’t work for the machine learning community, the signatories argue:
How much role did a potentially problematic paper play in the demise of a once-promising compound?
Researchers are questioning the validity of a high-profile article, published by Nature in 2006. Although the letter is 12 years old, the concerns have current implications: It was among the early evidence used to develop a cancer compound that recently failed a number of clinical trials.
It’s unclear whether the problems with the paper — if validated — could have contributed to the compound’s demise. But an outside expert has some thoughts — and so do image experts and multiple external reports, including one released this month, which agree the concerns about the figures have merit. (The first author’s ex-husband isn’t too happy with the article, either.)
The authors of a highly cited 2016 research letter on a way to improve the efficiency of solar panels have retracted their work following “concerns about the reproducibility.”
Given the potential importance of the data, it would be nice to know what exactly went wrong, and why. However, the retraction notice doesn’t provide many details, and doesn’t even specify if the authors did indeed fail to reproduce the data.