The Evolution of Social Media Algorithms: Test Your Knowledge
Published Jul 2, 2026 · Updated Jul 23, 2026 · Editorial Team
A challenging quiz exploring how algorithms have shaped content delivery on major platforms from early feeds to AI-driven recommendations.
❓ 10 Questions
⏱️ 5 Minutes
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Question 1 of 100 correct
⏱️ 05:00
QUESTION 1
Which 2006 innovation first introduced algorithmic ranking to Facebook's News Feed?
All Questions in This Quiz
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Which 2006 innovation first introduced algorithmic ranking to Facebook's News Feed?
- A. EdgeRank
- B. Graph Search
- C. Timeline
- D. News Feed Algorithm
What primary metric did Facebook's 2012 algorithm update aim to maximize?
- A. Number of friends
- B. Time spent on platform
- C. Engagement (likes, comments, shares)
- D. Ad click-through rate
Which technique did Instagram's Explore page adopt in 2016 to personalize content?
- A. Collaborative filtering
- B. Reinforcement learning
- C. Graph neural networks
- D. Natural language processing
TikTok's For You page recommendation system heavily relies on which type of model?
- A. Decision trees
- B. Convolutional neural networks
- C. Recurrent neural networks
- D. Transformer-based models
YouTube's recommendation algorithm shifted in 2016 to primarily optimize for which metric?
- A. Click‑through rate
- B. Watch time
- C. Number of shares
- D. Subscriber growth
The concept of 'filter bubble' was popularized by which researcher in relation to social media algorithms?
- A. Eli Pariser
- B. Sherry Turkle
- C. Zeynep Tufekci
- D. danah boyd
Which platform introduced a chronological 'Following' feed option in 2022 as a response to algorithmic criticism?
- A. Twitter
- B. Instagram
- C. Facebook
- D. TikTok
In the context of algorithmic transparency, the EU's Digital Services Act (DSA) requires large platforms to provide users with what?
- A. Access to raw data
- B. Ability to opt‑out of algorithmic recommendation
- C. Explanation of why specific content was shown
- D. Daily usage reports
Which algorithmic technique is commonly used to detect and reduce the spread of misinformation by scoring content credibility?
- A. Collaborative filtering
- B. Bayesian networks
- C. Truth scoring models
- D. Sentiment analysis
What is the primary goal of 'edge computing' in the context of social media algorithms?
- A. Reduce latency by processing data closer to the user
- B. Increase data storage capacity
- C. Improve encryption of user data
- D. Centralize all computation in data centers
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