Fake News Detection Using NLP

Abstract

AI Fake News Analysis is an advanced AI-powered
platform designed to revolutionize the way people
consume news by transforming lengthy and
scattered information from various formats—such
as video, audio, and text—into concise and
meaningful summaries. With the ever-increasing
volume of content and the growing concern over
fake news, this platform addresses the core issues of
information overload, lack of verification, and
inefficiency in traditional news consumption. The
platform is built to cater to the needs of busy
professionals, students, journalists, and the general
public, providing them with an efficient, reliable,
and engaging way to stay updated. Users no longer
need to spend time watching entire videos or reading
lengthy articles; instead, they receive quick,
digestible summaries extracted using cutting-edge
AI technologies such as natural language processing
(NLP), speech-to-text conversion, and computer
vision. A key feature of the system is its fake news
detection module, which evaluates the credibility of
news sources and content, thereby reducing the risk
of misinformation. Another standout capability is
the interactive cross-questioning AI that allows users
to ask follow-up questions and receive intelligent
responses, enhancing engagement and
understanding. The platform also includes a daily
live news feed, ensuring users have access to the
most recent and relevant information. By
automating news verification and summarization,
the platform not only saves time but also enhances
the decision-making process in various fields.
Overall, AI Fake News Analysis is a practical and
innovative solution that streamlines the news
consumption process, ensures content authenticity,
and fosters critical engagement, addressing the
growing challenges in the modern information
ecosystem.