Big Data Was A Mistake – Wisecrack Edition

Big Data Was A Mistake – Wisecrack Edition

Assessment

Interactive Video

Other

10th - 12th Grade

Hard

Created by

Quizizz Content

FREE Resource

The video explores the pervasive influence of big data, highlighting how tech giants collect and use data for profit. It discusses the role of interpretation and bias in data models, the societal impact of these models, and the privacy concerns they raise. The video also questions the implications for free will and suggests the need for ethical standards in data science.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the main ways YouTube uses big data?

To increase ad revenue

To predict user preferences

To improve video quality

To reduce buffering time

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a primary motive for data collection by tech companies?

Developing new technologies

Enhancing user privacy

Improving user experience

Generating profit through targeted ads

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can big data be misused according to the transcript?

By creating more engaging games

By reinforcing existing biases

By improving healthcare services

By enhancing educational tools

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What role do algorithms play in data interpretation?

They reduce data volume

They organize data

They increase data accuracy

They eliminate biases

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might data models be considered biased?

They use too much data

They are too transparent

They are influenced by human interpretation

They are based on objective facts

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key difference between data models in baseball and other industries?

Other industries have simpler models

Other industries use more data

Baseball models are transparent

Baseball models are more complex

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential consequence of opaque data models?

Increased innovation

Greater transparency

Improved accuracy

Lack of accountability

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