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Fake News: Artificial Intelligence

Understanding the Fake News Ecosystem

Algorithms and Filter Bubbles

Eli Pariser, co-founder of, explains how algorithms limit content in social media feeds and internet search results.

Pariser, Eli. "Beware Online 'Filter Bubbles.'" TED, filmed March 2011,

Algorithms and the Internet


Wardle, Claire. "Deepfakes: Is This Video Even Real?" YouTube, uploaded by New York Times, 14 August 2019,

Deepfake programs use artificial intelligence to create videos, images, or audio that appear authentic, but are not real. As deepfake technology improves, it becomes increasingly difficult to identify fake content.

To learn about deepfakes, get started with MIT's "In Event of Moon Disaster". 

Learn more with LinkedIn Learning's "Understanding the Impact of Deepfake Videos". (Log in using your Fordham email address or your LinkedIn profile.)

Generative AI

Check with your professor about their course policy before using generative AI.

Generative AI uses language prediction models to produce text, images, and more. It is also "trained" by humans with example conversations. It is limited to knowledge pulled from its training data and can sometimes produce responses that sound correct but are false or nonsensical. 

Using AI-generated ideas, text, images, or other output without properly citing it is considered plagiarism. For information on how to use sources in your writing, see the Writing Center’s guide Safeguarding Against Plagiarism

How do I cite Generative AI?

Refer to your citation style guide's website for the most up-to-date information on citing generative AI services like ChatGPT, Copilot, or Gemini:

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