Abstract
The Web is the largest source of information today, a group of these data is the news that is disseminated using Social Networks which are information that needs to be processed in order to know what is its main use in a way that contributes to understanding the impact of these media in the dissemination of news. To solve this problem, we propose the use of data mining techniques such as the Sentiment Analysis to validate the information that comes from social media. The objective of this research is to make a proposal of a method of Systematic Mapping that allows determining the state of the art related to the investigations of the diffusion of news applying Sentiment Analysis and impact on human behavior through Social Media. This initial research presented as a case study a time range until 2017 in research related to the news that uses Data mining techniques like to sentiment analysis for social media in major search engines.
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Peñafiel, M., Navarrete, R., Tenemaza, M., Vásquez, M., Vásquez, D., Luján-Mora, S. (2020). The Diffusion of News Applying Sentiment Analysis and Impact on Human Behavior Through Social Media. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-20454-9_25
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