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Electioneering

As explained in Introduction to Generative AI, Second Edition

Electioneering is organized activity intended to influence electoral choices or outcomes.

Electioneering is organized activity intended to influence electoral choices or outcomes. With large language models (LLMs), it occupies a gray area alongside partisan content, misinformation, and propaganda. section 5.5

Partisan expression may be biased toward or against a viewpoint without violating platform rules, making moderation difficult. Chatbot providers face a similar boundary problem, compounded by uncertainty about why probabilistic systems produce particular answers. section 5.5

Key governance questions include:

  • How should platforms distinguish misinformation, disinformation, propaganda, and permitted partisan speech? section 5.5
  • How transparent should political advertising and platform data be to researchers and fact-checkers? section 5.5
  • Where should chatbot policies draw limits without suppressing free expression? section 5.5

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Distinguishes political speech from misinformation and examines moderation dilemmas, but stops short of implementation details.
Examples
Uses social-media policies, political advertising transparency, chatbot behavior, and ChatGPT’s perceived political stance as examples.
What you can do after
Evaluate policy boundaries around political content, moderation uncertainty, transparency, and free expression.
How it connects
Connects electioneering with misinformation, disinformation, propaganda, partisan content, chatbots, free expression, and content policies.

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.