An Intelligent Approach to Detect Fake News Using Artificial Intelligence Technique

An Intelligent Approach to Detect Fake News Using Artificial Intelligence Technique

Sumit Das (JIS College of Engineering, India), Manas Kumar Sanyal (University of Kalyani, India), and Sarbajyoti Mallik (JIS College of Engineering, India)
Copyright: © 2021 |Pages: 12
DOI: 10.4018/IJDAI.2021070101
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There is a lot of fake news roaming around various mediums, which misleads people. It is a big issue in this advanced intelligent era, and there is a need to find some solution to this kind of situation. This article proposes an approach that analyzes fake and real news. This analysis is focused on sentiment, significance, and novelty, which are a few characteristics of this news. The ability to manipulate daily information mathematically and statistically is allowed by expressing news reports as numbers and metadata. The objective of this article is to analyze and filter out the fake news that makes trouble. The proposed model is amalgamated with the web application; users can get real data and fake data by using this application. The authors have used the AI (artificial intelligence) algorithms, specifically logistic regression and LSTM (long short-term memory), so that the application works well. The results of the proposed model are compared with existing models.
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The Artificial Intelligence (AI) and Machine Learning (ML) are the recent trend in this digital advancement. It is used in the every corner of the industries to perform the repetitive tasks but they are trying to apply AI to perform the task as human. The healthcare industries are widely applying AI techniques to perform the medical diagnosis, prognosis and treatment with high accuracy (Das, Biswas, et al., 2018; Das et al., 2019; Das, Sanyal, & Datta, 2018; Das, Sanyal, Datta, et al., 2018; Das & Sanyal, 2020). Now, the issues in that areas is that how to acquire accurate data as well as information. If any clinic provide fake information then there will be a trouble in diagnosis by using AI. In this regard, the fake data, information, or news detection is most significant in the literature.

The term "News" corresponds to facts about news events, this will be wiped out a range of the way, including word of mouth, writing, postal services, broadcasting, transmission, and therefore the testimony of incident observers and witnesses. War, government, politics, education, health, the environment, economy, industry, fashion, and entertainment, furthermore as sporting events and quirky or unusual events, are all common topics for news coverage. Since precedent days, government proclamations about royal rituals, rules, taxation, public health, and criminals are dubbed news. Our world is rapidly transforming. Without the necessity for hesitation, the technological society contains a lot of advantages, but it also has some drawbacks. In today's digital world, there is a range of topics to think about. Misinformation is one in every of them. Fake news is de facto easy to spread. Fake news is disseminated additionally to damaging somebody's or organization's credibility. It is getting used to spread propaganda against a organization or an association. This may be accustomed manipulate belief against a organization or a corporation. There is a spread of treatment outlets where fake news may be circulated. The strength of the web publishing news of online content will rely on the predictability and rigidity of a content management system. Humans are naturally not good at differentiating between real and fake news because it will affect the mind. Therefore, this model is differentiating the real and fake news so that humans will be alert. The model is to analyze and filter out the fake news, which makes trouble panic. This model makes users likely to choose “socially safe” options when consuming and disseminating news information, following the norms established in the community even if the news being shared is fake news. A social bot refers to a social media account that is controlled by a computer algorithm to automatically produce content and interact with humans (or other bot users) on social media. Nowadays the increasing popularity of social media, more and more people consume news from social media instead of traditional news media and here they can differentiate between fake and real news.

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