Challenging MCQs GRADE 10
1. AI Recommendation Algorithms
A social media AI learns that a user watches controversial videos longer than educational videos. If the AI is optimized only for engagement, what is it most likely to do?
A) Remove all controversial content
B) Recommend more content designed to maximize watch time
C) Stop collecting user data
D) Recommend only government-approved content
Answer: B
2. AI-Generated Deepfakes
A video of a school principal appears online announcing a fake emergency. The video looks and sounds authentic but was created using AI. What is the most appropriate cybersecurity response?
A) Share it quickly to warn everyone
B) Trust it because the face looks real
C) Verify the announcement through trusted official channels
D) Download and edit the video
Answer: C
3. Algorithmic Filter Bubbles
An AI recommendation system repeatedly shows users content that matches their existing beliefs. What is a major potential consequence?
A) Increased exposure to diverse viewpoints
B) Reduced internet speed
C) Creation of an algorithmic filter bubble
D) Automatic deletion of all social media accounts
Answer: C
4. Generative AI & Social Engineering
A cybercriminal uses Generative AI to study a target’s public social media posts and create a highly personalized fake message. What attack technique is this most closely associated with?
A) Social engineering
B) Data compression
C) Software debugging
D) Network optimization
Answer: A
5. AI Bias in Social Media
An AI moderation system incorrectly flags posts from one particular language community more frequently than others. What is the most likely underlying concern?
A) AI bias
B) Strong encryption
C) Faster processing
D) Hardware failure
Answer: A
6. Synthetic Social Media Accounts
Thousands of AI-controlled accounts suddenly begin posting identical political messages and artificially increasing their popularity. What is this best described as?
A) Organic viral growth
B) Coordinated inauthentic behavior
C) Cloud computing
D) Digital photography
Answer: B
7. AI and Privacy
A social media platform uses AI to infer a user’s interests, personality, and behavior from seemingly harmless posts and interactions. What is the primary privacy concern?
A) Excessive battery consumption
B) Inference and profiling from personal data
C) Low video quality
D) Slow keyboard response
Answer: B
8. Adversarial AI Manipulation
Researchers discover that carefully modified images can cause an AI content-moderation system to misclassify harmful content as safe. What does this demonstrate?
A) An adversarial attack against an AI system
B) A successful software update
C) A normal recommendation algorithm
D) A cloud backup process
Answer: A
9. AI Misinformation Detection
An AI system identifies a suspicious viral post, but its confidence level is low because the original source cannot be verified. What is the BEST approach?
A) Automatically delete the post
B) Automatically promote the post
C) Flag it for human review and additional verification
D) Ignore it completely
Answer: C
10. The Future of AI-Powered Social Media — MOST ADVANCED
Which scenario represents the greatest combined cybersecurity and ethical challenge of future AI-powered social media?
A) AI automatically improves photo quality
B) AI recommends music based on listening history
C) Autonomous AI agents generate realistic content, impersonate people, personalize persuasion, coordinate across platforms, and adapt their behavior in real time
D) AI changes the color of a user’s profile
Answer: C
