Digital Verification & Fact Checking, Sentiment Analysis and Cyber Security
Digital Verification & Fact Checking, Sentiment Analysis and Cyber Security
This track explores Digital Verification and Fact-Checking, Sentiment Analysis, and Cybersecurity to combat misinformation, understand public opinion, and protect digital spaces. It combines AI-driven tools, data analysis, and security protocols to equip learners with the skills to validate content, analyze sentiment trends, and safeguard online platforms from threats.
Module 1: Digital Verification & Fact Checking
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Introduction to Misinformation and Disinformation
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Tools for Image and Video Verification (e.g., InVID, TinEye)
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Source Evaluation Techniques
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Real-time Fact-Checking Tools
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Case Studies: Election Misinformation, Deepfakes
Module 2: Sentiment Analysis
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Basics of Natural Language Processing (NLP)
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Sentiment Scoring (Lexicon-based & ML-based approaches)
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Text Preprocessing and Tokenization
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Social Media Sentiment Analysis
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Hands-on: Analyzing Tweets using Python (e.g., TextBlob, VADER)
Module 3: Cybersecurity Fundamentals
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Cyber Threats: Malware, Phishing, Ransomware
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Digital Hygiene and Safe Browsing Practices
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Network Security Basics
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Encryption and Data Protection
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Tools: Wireshark, VPNs, Antivirus
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Case Study: Real-world Cyberattacks & Response
Capstone Project:
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Build a fact-checking bot or
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Sentiment analysis dashboard for social media trends or
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Create a cybersecurity awareness campaign
