Fake_News_Detection_Presentation (3).pptx

Fake news is a growing problem in today's digital world. Misinformation spreads quickly, leading to social and political consequences. Using machine learning, we can automatically classify news articles as real or fake, helping people verify information easily

1. Fake News Detection Using Machine Learning Presented by: [Your Name] Institution: [Your Institution]

2. Introduction • Fake news spreads misinformation and influences public opinion. • Social media and online platforms make it easy to distribute false information. • Need for automated detection using Machine Learning.

3. Problem Statement • Traditional fact-checking is slow and manual. • Fake news is designed to look credible. • Challenge: How to automatically detect fake news efficiently?

4. Objective • Develop a Machine Learning model to classify news as real or fake. • Use Natural Language Processing (NLP) techniques. • Improve accuracy and reliability of fake news detection.

5. Existing Solutions • Manual fact-checking (slow and subjective). • Keyword-based detection (not always accurate). • Need for AI-based solutions for better accuracy.

6. Proposed Solution • Use NLP and ML algorithms to analyze text patterns. • Train models on labeled datasets. • Automate detection with higher accuracy.

7. Methodology • Dataset: Collect news articles labeled as real or fake. • Feature Extraction: TF-IDF, Word Embeddings. • ML Models: Logistic Regression, Random Forest, LSTM, BERT. • Model Training and Evaluation.

8. Implementation 1. Data Collection & Preprocessing. 2. Feature Engineering. 3. Model Selection & Training. 4. Testing & Evaluation. 5. Deployment (Optional).

9. Expected Results • Improved accuracy in detecting fake news. • Faster and automated classification. • Comparison with traditional methods.

10. Challenges & Future Scope • Handling evolving fake news patterns. • Dataset biases and accuracy issues. • Future: Real-time detection, multi-language support, deep learning improvements.

11. Conclusion • ML can enhance fake news detection. • Helps in minimizing misinformation spread. • Future improvements for real-time detection systems.

12. Q&A Thank you! Questions?