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Editorial Note

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Editorial Note: Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society

  • The PLOS One Editors

The PLOS One Editors issue this Editorial Note to inform readers that the articles cited in this article [1] as References 13, 17, and 71 do not appear to support the corresponding cited statements.

Reference

  1. 1. Zamir MT, Ullah F, Tariq R, Bangyal WH, Arif M, Gelbukh A. Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society. PLoS One. 2024;19(12):e0315407. pmid:39700256

Citation: The PLOS One Editors (2026) Editorial Note: Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society. PLoS One 21(9): e0357518. https://doi.org/10.1371/journal.pone.0357518

Published: September 3, 2026

Copyright: © 2026 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.