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Author: Arif Wali

Arif Wali is an IT graduate from Middlesex University, London, and the creator of BiasBreak, an AI-powered Fake News Authenticity Predictor. With a focus on Data Analytics and AI Development, he builds tools that combine technical expertise with practical solutions for real-world challenges.
Why Bias Detection Matters in Gambling Reviews A Case Study Using BiasBreak
Why Bias Detection Matters in Gambling Reviews: A Case Study Using BiasBreak
Published on January 1, 2026 by Arif Wali
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Announcing BiasBreak Version 25.02: More Accurate, More Reliable
Published on August 27, 2025 by Arif Wali
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Focused on mobile device with popup text describing misinformation, fake news, conspiray theories, and biasness
Can We Ever Have a Misinformation-Free Internet?
Published on August 27, 2025 by Arif Wali
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A girl scrolling mobile with popups representing news and deepfakes circulating on the web
How Fake News Spreads Faster Than the Truth
Published on August 27, 2025 by Arif Wali
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A person using mobile phone with popup stating fake news
How to Spot Fake News: A Beginner’s Guide
Published on August 27, 2025 by Arif Wali
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One side human and other side AI Represent
Can AI Detect Bias Better Than Humans?
Published on August 27, 2025 by Arif Wali
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Detects Hidden Bias in content
Unmasking the Slant: How BiasBreak AI Detects Hidden Bias
Published on August 27, 2025 by Arif Wali
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The Tone Analysis How AI Reveals Manipulative and Sensational Language
Tone Analysis: How AI Reveals Manipulative and Sensational Language
Published on August 27, 2025 by Arif Wali
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Beyond the Headline How BiasBreak Determines Trust Score
Beyond the Headline: How BiasBreak Determines Trust Score
Published on August 27, 2025 by Arif Wali
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