March 26, 2024, 4:44 a.m. | Er-Te Zheng, Hui-Zhen Fu, Zhichao Fang

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.16851v1 Announce Type: cross
Abstract: Detecting problematic research articles timely is a vital task. This study explores whether Twitter mentions of retracted articles can signal potential problems with the articles prior to retraction, thereby playing a role in predicting future retraction of problematic articles. A dataset comprising 3,505 retracted articles and their associated Twitter mentions is analyzed, alongside 3,505 non-retracted articles with similar characteristics obtained using the Coarsened Exact Matching method. The effectiveness of Twitter mentions in predicting article retraction …

abstract article articles arxiv chatgpt cs.ai cs.cl cs.dl cs.lg dataset future playing prior research role signal study twitter type vital

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