![Man ultramarathon runner in the mountains he trains at sunset](https://d2csxpduxe849s.cloudfront.net/media/E32629C6-9347-4F84-81FEAEF7BFA342B3/0B4B1380-42EB-4FD5-9D7E2DBC603E79F8/webimage-C4875379-1478-416F-B03DF68FE3D8DBB5.png)
94% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
RETRACTION article
Front. Environ. Sci. , 26 September 2023
Sec. Environmental Citizen Science
Volume 11 - 2023 | https://doi.org/10.3389/fenvs.2023.1286398
This article is part of the Research Topic Carbon Neutrality, Social Media, Artificial Intelligence, volume II View all 13 articles
This article is a retraction of:
RETRACTED: Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality
A Retraction of the Original Research Article
Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality
by Feng H and Pi Z (2023). Front. Environ. Sci. doi: 10.3389/fenvs.2022.1075943
Following publication, concerns were raised over the lack of transparency of the methodology, and potential political partiality presented in the article. An investigation was conducted in line with Frontiers policies, and it was confirmed that the conclusions presented were undermined by the above concerns, therefore the article has been retracted.
The retraction of the article was approved by the Chief Editor of Frontiers in Environmental Science and the Editor-in-Chief of Frontiers. The authors agree to the retraction.
Citation: Frontiers Editorial Office (2023) Retraction: Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality. Front. Environ. Sci. 11:1286398. doi: 10.3389/fenvs.2023.1286398
Received: 31 August 2023; Accepted: 22 September 2023;
Published: 26 September 2023.
Approved by:
Steffen Fritz, International Institute for Applied Systems Analysis (IIASA), AustriaCopyright © 2023 Frontiers Editorial Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Frontiers Editorial Office, cmVzZWFyY2guaW50ZWdyaXR5QGZyb250aWVyc2luLm9yZw==
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Research integrity at Frontiers
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.