This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …

The advancements of search engines for traditional text documents have enabled the
effective retrieval of massive textual information in a resource-efficient manner. However …

Employing paraphrasing tools to conceal plagiarized text is a severe threat to academic
integrity. To enable the detection of machine-paraphrased text, we evaluate the …

The conventional text documents have made it possible to efficiently retrieve large amounts
of text data with the development of various search engines. However, these traditional …

Media bias describes differences in the content or presentation of news. It is an ubiquitous
phenomenon in news coverage that can have severely negative effects on individuals and …

With the expansion of animation industry, there has been a recurring issue of animation
plagiarism. Currently, the technology for copyright protection and plagiarism detection in …

Current plagiarism detection systems reliably find instances of copied and moderately
altered text, but often fail to detect strong paraphrases, translations, and the reuse of non …

Identifying academic plagiarism is a pressing task for educational and research institutions,
publishers, and funding agencies. Current plagiarism detection systems reliably find …

Blockchain technology is used to support digital assets such as cryptocurrencies and tokens.
Commonly, smart contracts are used to generate tokens on top of the blockchain network …

Research on academic integrity has identified online paraphrasing tools as a severe threat
to the effectiveness of plagiarism detection systems. To enable the automated identification …