"shallowfake" meaning in All languages combined

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        "2": "shallow",
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      "expansion": "Compound of shallow + fake",
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  "etymology_text": "Compound of shallow + fake, modelled after deepfake. Coined by AI and human rights researcher Sam Gregory.",
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      "form": "shallowfakes",
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  "pos": "noun",
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        {
          "ref": "2019 March 25, Bobbie Johnson, “Deepfakes are solvable—but don't forget that \"shallowfakes\" are already pervasive”, in MIT Technology Review, Cambridge, M.A.: Massachusetts Institute of Technology, →ISSN, →OCLC, archived from the original on 2023-12-04:",
          "text": "The technology industry has a unique opportunity to tackle \"deepfakes\"—the problem of fake audio and video created using artificial intelligence—before they become a widespread problem, according to human rights campaigner Sam Gregory. ¶ But, he warns, major companies are still a very long way from tackling the pervasive and more damaging issue of cruder \"shallowfake\" misinformation.",
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        {
          "ref": "2020 January 13, Ian Sample, “What are deepfakes – and how can you spot them?”, in Katharine Viner, editor, The Guardian, London: Guardian News & Media, →ISSN, →OCLC, archived from the original on 2023-12-25:",
          "text": "Facebook last week banned deepfake videos that are likely to mislead viewers into thinking someone \"said words that they did not actually say\", in the run-up to the 2020 US election. However, the policy covers only misinformation produced using AI, meaning \"shallowfakes\" (see below) are still allowed on the platform.",
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        },
        {
          "ref": "2022 August 26, Sam Gregory, “Shallowfakes are rampant: Tools to spot them must be equally accessible”, in The Hill, Washington, D.C.: Nexstar Media Inc., →ISSN, →OCLC, archived from the original on 2023-03-23:",
          "text": "Hundreds of articles have focused on these and hypothetical deepfake scenarios and what they mean for the future of video and trust. But despite all this attention, shallowfakes — videos shared with misleading contexts or small edits — are far more widespread and easier to produce.",
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      "glosses": [
        "A misleading or slightly edited piece of media (such as a video clip or image) created using conventional methods, as opposed to AI deep learning algorithms."
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          "misleading",
          "misleading#Adjective"
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          "edited",
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          "video clip",
          "video clip#Noun"
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          "image",
          "image#Noun"
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          "AI",
          "AI#Noun"
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        [
          "deep learning",
          "deep learning#Noun"
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      "raw_glosses": [
        "(neologism, technology) A misleading or slightly edited piece of media (such as a video clip or image) created using conventional methods, as opposed to AI deep learning algorithms."
      ],
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        {
          "word": "cheapfake"
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        "engineering",
        "natural-sciences",
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        "technology"
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  "word": "shallowfake"
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  "etymology_text": "Compound of shallow + fake, modelled after deepfake. Coined by AI and human rights researcher Sam Gregory.",
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          "ref": "2019 March 25, Bobbie Johnson, “Deepfakes are solvable—but don't forget that \"shallowfakes\" are already pervasive”, in MIT Technology Review, Cambridge, M.A.: Massachusetts Institute of Technology, →ISSN, →OCLC, archived from the original on 2023-12-04:",
          "text": "The technology industry has a unique opportunity to tackle \"deepfakes\"—the problem of fake audio and video created using artificial intelligence—before they become a widespread problem, according to human rights campaigner Sam Gregory. ¶ But, he warns, major companies are still a very long way from tackling the pervasive and more damaging issue of cruder \"shallowfake\" misinformation.",
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          "text": "Facebook last week banned deepfake videos that are likely to mislead viewers into thinking someone \"said words that they did not actually say\", in the run-up to the 2020 US election. However, the policy covers only misinformation produced using AI, meaning \"shallowfakes\" (see below) are still allowed on the platform.",
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          "text": "Hundreds of articles have focused on these and hypothetical deepfake scenarios and what they mean for the future of video and trust. But despite all this attention, shallowfakes — videos shared with misleading contexts or small edits — are far more widespread and easier to produce.",
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      ],
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          "technology",
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          "misleading",
          "misleading#Adjective"
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          "edited",
          "edited#Adjective"
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          "video clip",
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          "image",
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        "(neologism, technology) A misleading or slightly edited piece of media (such as a video clip or image) created using conventional methods, as opposed to AI deep learning algorithms."
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  "word": "shallowfake"
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