Practice Misinformation (15.7.3) - Natural Language Processing (NLP)

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10 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is misinformation?
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Think about the content and its truthfulness.
Question 2.
What is data bias?
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Consider how data quality impacts AI.
3Question 3.
What is misinformation?
- True information
- False or misleading information
- Neutral information
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Focus on the definition aspects.
4Question 4.
Does data bias play a role in misinformation generation?
- True
- False
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Consider how models learn from data.
Question 5.
Scenario: An NLP chatbot is found to disseminate biased content based on its training data. Evaluate the measures that could be taken to address this issue.
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Remember to consider data sources and training techniques.
Question 6.
Discuss the balance between using personal data in NLP and maintaining user privacy. What ethical guidelines should be applied?
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Think about user trust and transparency.

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