Fake News, Bias & Post-Truth


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What is fake news, anyways?
"Fake news" is a term used to describe lies masquerading as news. This could be satire -- The Onion is one example of how to successfully use a newspaper-like format for making comedic social commentary. But we all know The Onion is fake. It is completely transparent in its lies, so when we see something from The Onion, we laugh and know not to believe a single word. But more often, online "news" sites are making up fake news for non-satirical purposes, and those words are taken as truth. 

Listen Up
Are We in a Post-Truth Era?
The True-but-Biased
The Deceptively Fake
The Obviously Fake

SATIRE


Satirical news sites often use lies to make social commentary, and in the case of The Onion, do it in a funny way. These are normally pretty obvious, but sometimes sites that intend to be satirical are read as literal. When people read information on the web without a critical lens, misinformation can spread like wildfire. 

What is at Stake?
Case Study in Medicine
Some Questions to Think About
  • How many times have you liked or shared a news story on social media without actually reading the entire story? 
  • If you post misinformation on the web, how does that affect your credibility?
  • How do you know the information you share online is true?
Using the SIFT Method
The SIFT method is an easy way to use the skills that professional fact-checkers employ to determine the credibility of an online source. The videos below will give you the knowledge you need to learn these skills in under 13 minutes.

The SIFT method was created by Mike Caulfield. All SIFT information on this page is adapted from his materials with a CC BY 4.0 license. Use the SIFT method to help you analyze information, especially news or other online media.

Introduction
Investigate the Source
Find the Original Source
Look for Trusted Work
Fact Checking Sites
Additional Resources
Web Literacy for Student Fact-Checkers
Check, Please! Starter Course
A free, five-lesson course on fact- and source-checking from Mike Caulfield
How Fake News Works
The Future of Fake News
Case Studies
Scholarly Articles