The aim of this work is to understand the retraction phenomenon in the arts and humanities domain through an analysis of the retraction notices: formal documents stating and describing the retraction of a particular publication. The retractions and the corresponding notices are identified using the data provided by Retraction Watch. Our methodology for the analysis combines a metadata analysis and a content analysis (mainly performed using a topic modeling process) of the retraction notices. Considering 343 cases of retraction, we found that many retraction notices are neither identifiable nor findable. In addition, these were not always separated from the original papers, introducing ambiguity in understanding how these notices were perceived by the community (i.e., cited). Also, we noticed that there is no systematic way to write a retraction notice. Indeed, some retraction notices presented a complete discussion of the reasons for retraction, while others tended to be more direct and succinct. We have also reported many notices having similar text while addressing different retractions. We think a further study with a larger collection should be done using the same methodology to confirm and investigate our findings further.

翻译：本研究旨在通过对撤稿通知（即正式声明并描述特定出版物被撤稿的文件）的分析，理解艺术与人文领域的撤稿现象。我们利用Retraction Watch提供的数据识别了相关撤稿及对应的撤稿通知。分析方法结合了元数据分析与内容分析（主要通过主题建模过程对撤稿通知进行分析）。通过对343个撤稿案例的研究，我们发现许多撤稿通知既无法识别也难以查找。此外，这些通知并不总是与原始论文明确区分，导致学界在理解这些通知如何被引用时产生歧义。我们还注意到，撤稿通知的撰写缺乏系统性：部分通知详细讨论了撤稿原因，而其他通知则更为直接简练。同时，我们报告了多个通知存在文本相似性却涉及不同撤稿案例的现象。我们认为，应采用相同方法对更大规模的样本进行进一步研究，以验证并深入探讨本文发现。