Misinformation is false information that is spread by people who mistakenly believe it to be true, while disinformation is false information that is spread with the intent to deceive or mislead others (Encyclopedia Britannica).
You might also hear the term "fake news," which is a type of disinformation created and shared for commercial or political reasons. Often you'll see provocative headlines or titles for the purpose of getting you to click through to advertising. Some politicians or media personalities use the term to describe sources that oppose their views, or to discredit a legitimate source.
Regardless of intent or motivation, spreading inaccurate information can cause significant harm. We all share the responsibility of stopping its spread by being critical consumers of information and checking our sources before we share something online. The SIFT method provides great strategies for this.
Image source: International Federation of Library Associations and Institutions
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Several think tanks, journalism schools, and news outlets provide fact-checking help. You can check these sites to see if a story or meme is known to be false or misleading. The following sites are among the signatories to the Poynter Institute's Code of Principles for fact-checking organization. This is not meant to be an exhaustive list, just a starting point:
Fake news sites deliberately publish misinformation to generate web traffic. You can avoid these sites altogether. See these lists to check if a site is known to be "fake" or satirical. Keep in mind that websites not on these lists could still be fake.
Spotting bad science information takes additional skills. See this chart for tips.
A deepfake ("deep learning" + "fake") is a highly realistic but AI-generated image, video, or audio of someone doing or saying something they never did or said. Check out this detailed learning module covering what deepfakes are and strategies for recognizing them:
Keep in mind that AI image generators are continually getting better at generating realistic images, so these tips won’t always work.
Falsified images, videos, and audio were around long before generative AI tools became popular. Some were made with Photoshop, and some were merely cropped or re-captioned to make them appear to be from a different context. But now there is more concern about harms of deepfakes since generative AI tools make them so easy to create and difficult to recognize.
Here are a few tips for identifying an image that may have been generated with AI:
Here are a couple of additional strategies for determining the origin of an image, video, or audio:
Adapted from What is a “deepfake?” And how can I recognize images that have been created with generative AI? by University of Arizona Libraries, © 2024 The Arizona Board of Regents on behalf of The University of Arizona, licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under CC BY-NC-SA 4.0