Disinformation, false information, post-truth phenomenon, scientific denialism, use of the term fake news, and algorithm enhancement are some characteristics of contemporary society. A contextualization is presented in the theoretical foundation about misinformation and algorithms, which are two themes that guide the study. Given this critical information scenario, it becomes necessary to propose and research measures to combat misinformation, mainly because false information can influence users' decision making. The overall objective of the research is to analyze the different approaches to the use of algorithms and technology as a solution to misinformation that appear in scientific articles indexed in the Web of Science (WoS). The study is exploratory; literature search, with a quantitative and qualitative approach, using content analysis. It was adopted to retrieve documents between the years 1945 and 2019. The results indicate that there are 66 articles with solutions that use technology or algorithms to address the problem. The proposals that had the highest incidence were algorithms, Artificial Intelligence (AI), blockchain, and technological solutions. As for productivity, it was in 2017 that more articles containing solutions were observed, more than half of them in English and belonging to three WoS research areas, Computer Science, Engineering, and Information Science & Library Science. Information Science (IC) focuses on the study of the properties of information, therefore being an interdisciplinary science, addressing misinformation, proposing solutions is necessary for the advancement and progress of the area