ICT IN FIGHT AGAINST FAKE NEWS AND MISINFORMATION.pptx

ICT IN FIGHT AGAINST FAKE NEWS AND MISINFORMATION.pptx

1. ICT IN FIGHT AGAINST FAKE NEWS AND MISINFORMATION BY: Atika Bilal Qurat - ul -ain Saleem Maryam Ikram

2. Introduction to Fake News and Misinformation Definition of Fake News: Deliberately false information spread to mislead or deceive. Misinformation vs. Disinformation: Misinformation is false information spread unintentionally, while disinformation is intentional. The Impact: Threats to democracy, public health, and societal trust.

3. The Growing Problem of Fake News Rise of Social Media: Platforms like Facebook, Twitter, WhatsApp, and TikTok are key channels for the spread of misinformation. Speed of Spread: The viral nature of misinformation makes it difficult to control. Challenges for Traditional Media: News outlets face increasing difficulty distinguishing between real and fake news.

4. How ICT Contributes to the Spread of Fake News Algorithmic Amplification: Social media algorithms prioritize sensational content, which often includes fake news. Anonymity and Bots: Use of fake accounts and automated bots to spread misleading information. Echo Chambers: ICT creates filter bubbles where individuals only encounter information that reinforces their beliefs.

5. The Role of ICT in Combating Fake News Technology as a Double-Edged Sword: While ICT enables the spread of misinformation, it can also be a powerful tool to counteract it. The Need for ICT Tools: To identify, verify, and flag misinformation in real-time. This Photo by Unknown Author is licensed under CC BY-SA-NC

6. Automated Fact-Checking Tools What is Automated Fact-Checking? Tools like ClaimBuster , Full Fact, and FactCheck.org How They Work: Use of AI and machine learning algorithms to detect false claims and verify information.

7. AI and Machine Learning in Fake News Detection

8. Blockchain for Misinformation Tracking How Blockchain Works in Misinformation Tracking: records of content origins. Transparent, traceable content verification. Example: How blockchain technology can verify the authenticity of news sources and prevent the alteration of original content .

9. Social Media Platforms and Misinformation Controls Facebook/Meta and Misinformation: Initiatives like fact-checking partnerships with third-party organizations. Automated detection of fake news using AI. Twitter/X: Misinformation labeling and removal tools. Instagram and TikTok: Collaboration with fact-checking organizations, content restrictions, and user warnings. This Photo by Unknown Author is licensed under CC BY-SA-NC

10. Collaboration with Fact-Checking Organizations

11. Role of Media Literacy and ICT Education

12. Government Regulations and ICT Policy Interventions: How governments are using ICT to regulate fake news and misinformation. Examples: EU Code of Practice on Disinformation. India's Information Technology (Intermediary Guidelines) Rules. Challenges: Balancing free speech with the need to curb misinformation.

13. The Role of Big Data and Data Analytics Data Collection for Misinformation Detection: Using big data to track the spread of fake news. Predictive Analytics: AI models can predict where fake news is likely to spread. Behavioral Analysis: Examining user behavior patterns to identify potential fake news promoters.

14. he Future of ICT in Misinformation Combat

15. Case Studies of Successful ICT Initiatives

16. Conclusion ICT's Dual Role : ICT can both spread and fight fake news. Key Tools : AI, blockchain, and fact-checking tools are crucial for combating misinformation. Collaboration Needed : Governments, tech companies, and fact-checkers must work together. Education is Key : Media literacy and ongoing public awareness are essential.

17. Thank you