Module 1 Quiz >>> What is a so called filter bubble >>> Big Data, Artificial Intelligence, and Ethics
8.
Question 8
What is a so-called “filter bubble”?
1 / 1 point
A news bubble where you only get information from one social network
An opinion bubble that only shows what agrees with government filtering
An opinion bubble where you only see the things you want to see
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12.
Question 12
How does today’s machine learning translation get so good?
1 / 1 point
Machine learning algorithms identified relations between humanly translated texts
They feed machine a lot of textbooks on translation and let it learn the patterns
Linguists incorporated ever more comprehensive vocabulary words into the algorithms
Linguists incorporated ever more comprehensive grammatical rules into the algorithms
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9.
Question 9
What is a so-called “echo chamber”?
1 / 1 point
Echoing the most important aspects that result from data fusion
Echoing how people with different opinions see the world
The technique to identify fake news by echoing them back to you
An information isolation where your opinion is reinforced by similar opinions
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14.
Question 14
What is the difference between “content-based filtering” and “collaborative filtering” for recommender systems?
1 / 1 point
The former is based on past data from the individual and the latter on data from other individuals
The former is based on content and the latter on collaboration of the company with the client
The former is based on content about others and the latter on collectively programmed machine learning
The former is based on an indexed table of content and the latter on the combination of different filters
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11.
Question 11
We have seen an example in lecture about what call centers are training when they announce that ‘the call might be recorded for quality and training purposes’. What is being trained?
1 / 1 point
Algorithms that match the caller’s personality with the call center representative
Professionals who detect unprofitable clients
Government officials who design regulations for cybersecurity
Computational social scientists in training, who learn natural language processing
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13.
Question 13
You are part of an online retail company that has the goal to grow quickly. Recommending new clients exactly what they need is an essential part of the successful growth strategy. What kind of recommender system do you recommend?