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The content creation process on the Internet changed with the emergence of Social Networks, with the volume of information overgrowing. Unfortunately, social networks have shown a high potential for disseminating hoaxes and, more recently, fake news. This fact encouraged the emergence of fact-checking organizations, usually carried out by journalism organizations. However, they have limitations to meet the enormous demand arising from the immense volume of fake news currently on the Internet. Thus, this study proposes a crowd-based solution as a way to meet this high demand for fact-checking. The proposed fact-checking process uses crowdsourcing to performing the filtering, analysis and classification of news. In this way, we can use a checking mechanism that may scale proportionally to the creation of fake news.