Claire Wardle (2019), a leading researcher in the field of misinformation, identified 3 types of "information disorder":
According to Wardle (2019), there are 7 types of mis- / dis- information and fake content:
Potential Level of Harm | Type of Mis-/Dis- information | Description |
---|---|---|
High
|
Fabricated Content | "New content that is 100% false, designed to deceive and do harm" |
Manipulated Content | "When genuine information or imagery is manipulated to deceive" | |
Imposter Content | "When genuine sources are impersonated" | |
False Context | "When genuine content is shared with false contextual information" | |
Misleading Content | "Misleading use of information to frame an issue or individual" | |
False Connection | "When headlines, visuals or captions don't support the content" | |
Satire or Parody | "No intention to cause harm but has potential to fool" |
The four-step SIFT method, which was originally developed by Mike Caulfield, can help you maneuver through false and distorted information:
Pause to give yourself time to think about the source's credibility and reliability.
Critically examine the credibility of the source. (See the ASSESS tab on the left for additional information).
Look for a more credible source that can be used instead.
Try to follow the breadcrumbs of information back to the original quotation or claim.
Biases--in the media, and our own--can interfere with analyzing information. It's important to be aware of potential biases that can shape the messages you read so that you can think more critically about them.
A few bias identification tools to consider:
Sometimes it can be hard to determine the reliability of information found online just by reviewing the website itself. Journalists, and others interested in assessing information online, make use of organizations and agencies that specialize in fact checking.
A few fact checking sites to consider:
Like fake news, fake images and videos help promote misinformation, and have become common in social media platforms.
A few tools to consider using when determining if a photo or video is real or not: