The Role of Artificial Intelligence in Monitoring Social Media

Abstract

Although social media relies relatively on short phrases, pictures and symbols, it is considered a rich source of information. Thus, all categories of society members resort to it in search of information, fun or work. And with the spread of social networking sites, an increasing need emerged to develop smart methods to monitor them. Henceforth, applications of artificial intelligence appeared as human attempts to control everything in the space of these programs, with the aim of protection, surveillance and security. This raised the curiosity of researchers to know the extent of the effect of artificial intelligence applications in monitoring social media. In fact, this work aims at studying the extent of the effectiveness of artificial intelligence applications in monitoring social media. And because this topic bifurcates and covers many areas, it has been addressed through three axes: The first is the detection of fake news and rumors, the second is marketing products and knowing the tendencies of consumers, and the third is increasing security and the protection of communication platforms from spying and fraud. Moreover, and in order to achieve the goal of the study, the researchers used the evaluation method to review the theoretical literature and previous studies related to the study subjects. It also aimed at identifying the objectives pursued by the studies, results, and recommendations, and clarifying the aspects of agreement and disagreement in light of the data. This study reached several results namely the high capacity of smart applications in tracking, monitoring, and analyzing human tendencies and desires, the diversity of the quality of smart algorithms in the accuracy of results between accurate and average performance, and that artificial intelligence applications broke into most aspects of life, which made robots and machine learning systems the main feature of the new era. Thus, we find that the field needs to increase research, develop new types of algorithms and apply them in practice to produce the best, most accurate results that are similar to human intelligence and its decisions.