https://sol.sbc.org.br/journals/index.php/reviews <p>SBC Reviews on Computer Science (ROCS) - or simply <em>SBC Reviews</em> - is an SBC journal that aims to publish comprehensive and detailed literature reviews on various topics of interest in computing, offering a channel for the dissemination of high-quality secondary studies and a reliable source for researchers looking for information about the state of the art in computer technologies. The works submitted for publication in <em>SBC Reviews</em> are evaluated taking into account both the rigor and reproducibility of the selection process of primary works, as well as the quality and reliability of the analysis of these works, which should offer a contribution to the target area of the study.</p> Sociedade Brasileira de Computação - SBC en-US SBC Reviews on Computer Science https://sol.sbc.org.br/journals/index.php/reviews/article/view/2718 <p>Fake news has been a critical problem for society, to the extent that its damaging effects can already be seen in several areas, such as democracy and health. However, as fake news grow in number, manual fact-checking becomes impractical for identifying them, which makes automatic detection a compelling alternative. In this sense, this study gathers multiple solutions for the problem of automatically detecting fake news, through the usage of both lexical and syntactic information. This study consists of a systematic review on fake news detection through linguistic patterns, focusing on the use of syntax to aid in the task. Solving complex problems by capturing linguistic patterns is mostly explored in the Natural Language Processing (NLP) area. In general, the use of shallow syntax representations, such as Parts of speech, only marginally increases the performance of classifiers in this task. However, relying on deeper syntactic representations, such as context-free grammars or syntactic dependency trees, present more promising results.</p> Matheus José Garcia Fagundes Norton Trevisan Roman Luciano Antonio Digiampietri Copyright (c) 2024 SBC Reviews on Computer Science 2024-03-07 2024-03-07 4 1 1 10 10.5753/reviews.2024.2718