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Fake News and Social Media
Fake news stories abound on Facebook. Most of the postings are produced by scammers looking to make money on the number of clicks these stories receive. Mark Zuckerberg, the founder and CEO of Facebook, says they are working on a way to weed out these stories. In the meantimes, some creative people have come up with solutions of their own.
The Washington Post ran a story on November 11, 2016 about a group of college students who developed an algorithm that authenticates what is real and what is fake on Facebook. Read about these problem solvers at this link.
A programmer named Daniel Sieradski has developed a Chrome extension called the B.S.Detector. Read about this hoax detector at "Rid Your Feed of Fake News With This Hoax-Detecting Chrome Extension"
How to Spot a Fake Post
Check the account history of the source. Two red flags are:
- the number of posts
- and how long the account has been active.
What did you see?
- Is it a meme shared on Facebook? These can be very entertaining, but they aren’t based on fact.
- Try Googling the information on the meme to see what websites come out to support or refute it.
- Is it a satire site such as The Onion or the Borowitz Report? Satire is a legitimate form of political commentary, but it isn’t meant to express the literal facts.
- Is it a nonpartisan site such as politifact.com or snopes.com? You can usually trust these.
- Is it from a major newspaper such as the LA Times, New York Times, Washington Post? These are usually fact-based. Editorials are opinion, but usually educated opinion.
- Is more than one news source reporting on the event or issue, or just one?
- Can you find peer-reviewed journal articles or library books about the general topic? Even though these may not contain information on specific very recent news items, you can get a good factual background from them.
What should you look for?
- Verifiable facts and statistics, not rumors or wild claims. Just because it “sounds right” or seems to confirm something you already believe doesn’t mean it is actually true.
- Citing sources – just as you cite sources in your research papers, Internet news should do the same. If they don’t clearly state where they got their information, there is no evidence for it being correct.
- Who paid for or sponsored the content? If you can find out who supports it, you can see what viewpoint it is coming from.
- Does the website URL end in “lo” or “com.co”? These are usually not legitimate news sources.
- The website should have an “About Us” or similar tab to let you learn more about them.
- Who is the author? Is he or she a subject expert or a professional journalist? If not, or if you can’t find out who the author is, be careful about trusting the material.
- Try using an advance Google search to search only .gov or .edu
What Are Online Filter Bubbles?
A filter bubble is a result of a personalized search in which a website algorithm selectively guesses what information a user would like to see based on information about the user (such as location, past click behavior and search history) and, as a result, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles.
Source: Huffington Post
TED Talks: Beware of Online Filter Bubbles