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  2. Fake news websites in the United States - Wikipedia

    en.wikipedia.org/wiki/Fake_news_websites_in_the...

    Fake news websites target United States audiences by using disinformation to create or inflame controversial topics such as the 2016 election. [1] [2] Most fake news websites target readers by impersonating or pretending to be real news organizations, which can lead to legitimate news organizations further spreading their message. [3]

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  4. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    An audio deepfake (also known as voice cloning or deepfake audio) is a product of artificial intelligence [1] used to create convincing speech sentences that sound like specific people saying things they did not say.

  5. Fake news in the Philippines - Wikipedia

    en.wikipedia.org/wiki/Fake_news_in_the_Philippines

    Fake news in the Philippines refers to the general and widespread misinformation or disinformation in the country by various actors. It has been problematic in the Philippines where social media and alike plays a key role in influencing topics and information ranging from politics, health, belief, religion, current events, aid, lifestyle, elections and others.

  6. Paper generator - Wikipedia

    en.wikipedia.org/wiki/Paper_generator

    A paper generator is computer software that composes scholarly papers in the style of those that appear in academic journals or conference proceedings. Typically, the generator uses technical jargon from the field to compose sentences that are grammatically correct and seem erudite but are actually nonsensical. [1]

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  8. SCIgen - Wikipedia

    en.wikipedia.org/wiki/SCIgen

    SCIgen is a paper generator that uses context-free grammar to randomly generate nonsense in the form of computer science research papers. Its original data source was a collection of computer science papers downloaded from CiteSeer. All elements of the papers are formed, including graphs, diagrams, and citations.

  9. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    The generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or not the image is generated. [citation needed] This causes the generator to create images that mimic reality extremely well as any defects would be caught by the discriminator. [65]

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