{"id":43269,"date":"2023-09-20T07:45:55","date_gmt":"2023-09-20T05:45:55","guid":{"rendered":"https:\/\/www.inovex.de\/?p=43269"},"modified":"2023-09-20T10:31:14","modified_gmt":"2023-09-20T08:31:14","slug":"how-blind-is-a-blind-peer-review-really","status":"publish","type":"post","link":"https:\/\/www.inovex.de\/de\/blog\/how-blind-is-a-blind-peer-review-really\/","title":{"rendered":"How Blind Is A Blind Peer Review Really?"},"content":{"rendered":"

During the process of academic publishing, the double-blind peer review was introduced to conceal the identity of the author of a paper to reduce the bias toward minorities. This should ensure an equal and fair evaluation across all authors, regardless of gender, country of origin, or affiliation.<\/p>\n

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But you might be wondering: isn’t it possible to recognize and identify the authors based on other factors such as the content<\/strong>, writing style<\/strong>, or references<\/strong>? Based on a self-generated citation network, this article provides various prediction models that could identify patterns and predict the authors‘ sensitive information in their selected references.<\/p>\n

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