Disinformation
Disinformation is false or misleading information deliberately created or spread to deceive, manipulate, or influence people.
Introduction to Generative AI, Second Edition
Disinformation is false or misleading information deliberately created or distributed to deceive or manipulate.
- How it is used
- Frames disinformation as a risk in political content and online distribution that motivates content policies and platform accountability.
- How deep it goes
- Explains why classification and moderation are contested, but does not provide a test for identifying individual cases.
- Examples
- Uses permitted partisan content and an AI recommendation system that spreads disinformation to distinguish expression from platform-level risk.
- What you can do after
- Evaluate/understand disinformation as a contested moderation problem with consequences for expression, chatbot policies, and platform oversight.
Read how Introduction to Generative AI, Second Edition explains disinformation →
Inside AI
Disinformation is false or misleading information intentionally spread to manipulate public perception or achieve an agenda.
- How it is used
- Frames generative AI as a risk multiplier for propaganda, public manipulation, and confusion between authentic and fabricated content.
- How deep it goes
- Defines intent, explains social consequences, and gives an AI-generated incitement scenario, but stops short of detection or prevention procedures.
- Examples
- Uses a fabricated sacred-book-burning video and ChatGPT’s incorrect personal claims to demonstrate persuasive false content.
- What you can do after
- Evaluate generated claims cautiously and recognize how false narratives can influence beliefs, decisions, trust, and social relations.
Related concepts
- misinformationcontrasts with · Misinformation is false or misleading information that is presented or circulated, whether or not there is an intent to deceive.
- generative modelinguses · Generative modeling is a machine-learning approach that learns patterns or a data distribution to generate new samples resembling the data.
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