Year: 2026
Type: article
Abstract: Failures of retraction are common in science. Why do they occur? And what determines whether a retraction is successful? We use data from citation records and Altmetrics to test proposed answers to these questions. LaCroix et al. (2021) employ network models to argue the social spread of information helps explain failures of retraction. One prediction is that widely known results, surprisingly, should be easier to retract, since their retraction is more relevant. Our results support this conclusion. We find highly cited papers show more significant reductions in citation after retraction and garner more attention to their retractions as they occur.
Source: Philosophy of Science
Authors: Shahan Ali Memon, Jevin West, Cailin O’Connor
Institutions: University of Washington, University of California, Irvine
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,550
Award: G3077282742
OpenAlex ID: W4414631295
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