Detecting Fake News Using Machine Learning : A Systematic Literature Review
Internet is one of the important inventions and a large number of persons are its users. These persons use this for different purposes. There are different social media platforms that are accessible to these users. Any user can make a post or spread the news through the online platforms. These platforms do not verify the users or their posts. So some of the users try to spread fake news through these platforms. These news can be propaganda against an individual, society, organization or political party. A human being is unable to detect all these fake news. So there is a need for machine learning classifiers that can detect these fake news automatically. Use of machine learning classifiers for detecting fake news is described in this systematic literature review.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningSystematic Literature ReviewSimilar Papers 제목 키워드 기반
Blessing or curse? A survey on the Impact of Generative AI on Fake News
Fake news significantly influence our society. They impact consumers, voters, and many other societal groups. While Fake News exist for a centuries, Generative AI brings fake news on a new level. It is now possible to au…
Fake News DetectionSurveyA Systematic Review on the Detection of Fake News Articles
It has been argued that fake news and the spread of false information pose a threat to societies throughout the world, from influencing the results of elections to hindering the efforts to manage the COVID-19 pandemic. T…
ArticlesFake News DetectionLexicon generation for detecting fake news
With the digitization of media, an immense amount of news data has been generated by online sources, including mainstream media outlets as well as social networks. However, the ease of production and distribution resulte…
Fake News DetectionCOVID-19 Infodemic. Understanding content features in detecting fake news using a machine learning approach
The use of content features, particularly textual and linguistic for fake news detection is under-researched, despite empirical evidence showing the features could contribute to differentiating real and fake news. To thi…
Fake News DetectionAdapting Fake News Detection to the Era of Large Language Models
In the age of large language models (LLMs) and the widespread adoption of AI-driven content creation, the landscape of information dissemination has witnessed a paradigm shift. With the proliferation of both human-writte…
ArticlesFake News Detection