Deepfakes and misinformation in AI for Everyone - Mini Project: Build & Apply

Understanding Deepfakes and Misinformation

📖 Scenario: You are learning about how deepfake videos and images can spread false information online. This project will help you understand what deepfakes are, how misinformation spreads, and how to recognize and respond to them.

🎯 Goal: Build a simple guide that explains deepfakes and misinformation step-by-step. You will create a list of examples, set a threshold for trustworthiness, identify deepfake examples, and add advice on how to stay safe from misinformation.

📋 What You'll Learn

Create a list of example deepfake scenarios with exact text entries

Add a trust threshold variable with a specific value

Use a loop to filter deepfake examples based on trustworthiness

Add a final advice statement about verifying information

💡 Why This Matters

🌍 Real World

Understanding deepfakes helps people recognize false videos and images online, reducing the spread of misinformation.

💼 Career

This knowledge is important for roles in media, education, cybersecurity, and social media management to promote truthful information.

1

Create a list of deepfake examples

Create a list called examples with these exact strings: 'Fake celebrity video', 'Altered political speech', 'Manipulated news image', 'False social media post'.

AI for Everyone

# Create the list called examples with the given entries
# Your code here

Need a hint?

Use square brackets [] to create a list and include the exact strings separated by commas.

2

Set a trustworthiness threshold

Create a variable called trust_threshold and set it to the number 3 to represent the minimum trust level for information.

AI for Everyone

examples = ['Fake celebrity video', 'Altered political speech', 'Manipulated news image', 'False social media post']
# Set trust_threshold to 3
# Your code here

Need a hint?

Assign the number 3 to the variable trust_threshold.

3

Identify deepfake examples below the trust threshold

Create a list called deepfake_examples that includes only the first three items from examples using a for loop and an if condition comparing the index to trust_threshold.

AI for Everyone

examples = ['Fake celebrity video', 'Altered political speech', 'Manipulated news image', 'False social media post']
trust_threshold = 3
# Create deepfake_examples list using a for loop and if condition
# Your code here

Need a hint?

Use range(len(examples)) to loop over indexes and add items with index less than trust_threshold to deepfake_examples.

4

Add advice on verifying information

Create a variable called advice and set it to the string 'Always check multiple sources before trusting online content.'

AI for Everyone

examples = ['Fake celebrity video', 'Altered political speech', 'Manipulated news image', 'False social media post']
trust_threshold = 3
deepfake_examples = []
for i in range(len(examples)):
    if i < trust_threshold:
        deepfake_examples.append(examples[i])
# Add advice string variable
# Your code here

Need a hint?

Assign the exact advice string to the variable advice.