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Over-Cited AI Articles: A Dilemma for Researchers

🤖 Models & LLM·Tom Levy·

Over-Cited AI Articles: A Dilemma for Researchers

Over-Cited AI Articles: A Dilemma for Researchers
Key Takeaways
1Peter Degen discovered that his 2017 paper was being cited exponentially, which raised suspicions.
2The paper, initially moderately cited, suddenly received hundreds of references, raising questions about the validity of the citations.
3This situation highlights a growing problem in the academic world: the impact of artificially inflated citations on scientific research.
💡Why it mattersCitations are crucial for academic careers, and their manipulation can distort the evaluation of research work.
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Full Analysis

A Suspicious Increase in Citations

Last summer, Peter Degen, a postdoctoral researcher, faced an unusual situation. His postdoctoral supervisor informed him that one of his papers was being cited at an abnormally high frequency. Published in 2017, this paper focused on the accuracy of a specific statistical analysis applied to epidemiological data. Over the years, it had accumulated a respectable number of citations, but recently, it was being cited every few days, reaching hundreds of references.

An Investigation is Necessary

While other researchers might have rejoiced at such popularity, Degen's supervisor preferred to investigate the situation. The sudden and massive increase in citations seemed suspicious and warranted a thorough check to understand the reasons behind this phenomenon.

A Problem for the Scientific Community

This situation highlights a growing issue in the field of academic research. Citations are essential for assessing the relevance and impact of scientific work. However, when they are artificially inflated, it can distort the evaluation of research quality and have repercussions on the careers of the researchers involved. This phenomenon raises questions about the integrity of academic practices and the need for mechanisms to ensure the validity of citations.

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