Privacy and Security in Online Social Media Quiz 2: 1 December 2024 (September 2024 term)

Total Marks: 50

Objective Questions: [10 X 1 Marks] = 10 Marks

Short Answer Questions [5 X 3 Marks] = 15 Marks

Long Answer Questions [5 X 5 Marks] = 25 Marks

Objective Questions [1 Marks each]

Q1. The application ______ was developed to assess the credibility of tweets based on user feedback.

Q2. Which machine learning approach is mentioned for fake news detection on social media platforms?

A) Decision Trees

B) Neural Networks

C) Naive Bayes Classifier

D) K-Means Clustering

Q3. True or False: Cross-posting behavior is often used in identity resolution techniques.

Q4. True or False: Data collected for identity resolution is primarily used to increase user engagement on social media platforms.

Q5. Which type of analysis is commonly used to identify hate videos and hidden communities on YouTube?

A) Sentiment analysis

B) Network graph analysis

C) Facial recognition analysis

D) Content summarization

Q6. What are different Location Based Social Networks? Mention any two.

Q7. Westin's four states of solitude, intimacy, anonymity, and ______.

Q8. Name the features that you can extract from the content of the fake news?

Q9. What is CredEye?

Q10. _______ app used to analyze the fake or manipulated content spread on Whatsapp.

Short Answer Questions [5 X 3 Marks] = 15 Marks

Q11. What is the relationship between privacy and utility?

Q12. What is Identity Resolution?

Q13. What are Privacy enhancing technologies? Give two examples.

Q14. What is MVAE in the context of Fake news detection? Explain its objective.

Q15. How effective are tiplines for identifying potentially misleading content on encrypted social media platforms?

Long Answer Questions [5 Marks each]

Q16. What is SpotFake? Discuss the framework in detail.

Q17. Why is it important for users to be aware of the privacy policy of a social media platform?

Q18. What do you understand by nudges in the context of OSM post? What are the different types of nudges discussed in lecture with reference to facebook post? Explain each in detail.

Q19. What is cyberbullying? What are different types of cyberbullying. Explain with examples.

Q20. Draw and explain the architecture diagram for Identity resolution algorithms to calculate the linkability scores. Show components of client and server sides.