Module 3: How To Fact-Check

Name: Module 3: How To Fact-Check
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To succeed as a fact-checker, you need an effective and repeatable process to get from start to finish. You need to know what to check, how to check it, and how to share the results with the content owner. There are also special considerations for AI output, which adds another layer to the process. Mastering your approach will help you work with confidence, no matter what kind of content you’re reviewing.

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5 Informative Lessons

6 Handy Top Tips

2 Practical Exercises

How This Module Works

This module takes a closer look at each step of the fact-checking process across various industries and how to identify the different information types you’re expected to review. You’ll also learn best practices for fact-checking AI content, sharing your findings with clients, and communicating nuanced or complex results.

3.1: Fact-Checking Process

Learn about the different types of factual information that can be included in content, and pick up tips for approaching the first phase of fact-checking.

3.2: Sourcing And Analyzing Information

Discover how to collect and organize your relevant source material and begin verifying your facts. Plus, find out how to approach short- and medium-length fact-checking tasks.

3.3: Sharing Your Findings

Get an overview of some of the ways fact-checkers communicate their results to their clients, including when the results are uncertain or complex.

3.4: Fact-Checking AI-Generated Content

Explore the pros and cons of generative AI models and how to best draw conclusions about AI-produced content.

3.5: Module Quiz

Review what you’ve learned with an 18-question quiz on this module’s lessons.

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Why Is It Important to Fact-Check AI Content?

Given the ever-increasing prevalence of AI tools in content creation, learning to fact-check AI-generated content is a valuable skill to add to your professional repertoire. Here are some of the key reasons why you can’t take everything produced by AI at face value:

AI models are trained on a wide range of content, and some can pull information from the entire internet, meaning output can include inaccurate or misleading data.
Information, such as dates, figures, and statistics, can come from outdated sources.
Models can confidently present hallucinations as fact.
Only humans are able to make complex judgements regarding the accuracy and logic of statements.

All of this means that human review is an essential stage in the creation process when AI is involved. Great news for trained fact-checkers!

Fact-Check AI Output with Confidence

Generative AI can produce content quickly – but not always accurately. Our blog posts expand upon how to assess AI-generated material, manage hallucinations, and fact-check effectively in this fast-evolving space.