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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

Retraction: Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality

This article is a retraction of:

  1. RETRACTED: Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality

    1. Read original article
Frontiers Editorial Office Frontiers Editorial Office*

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and it was confirmed that the conclusions presented were undermined by the above concerns, therefore the article has been retracted.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), Austria

Copyright © 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==

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