cross-posted from: https://piefed.world/c/tech/p/1243592/ai-altering-meaning-of-users-drafts-on-issues-from-abortion-to-climate-researchers-say-s

Study.

  • AI writing and editing tools can introduce bias into social media posts. Large language models (LLMs) systematically altered the direction of users’ messages on contested topics, even when instructed to preserve the original meaning;
  • Biases were similar across different AI systems. Multiple models tended to nudge posts in similar directions, favouring some positions such as gun control, marijuana legalisation and feminism, while pushing against others such as atheism and the death penalty;
  • Small changes in individual posts can influence public opinion over time. Simulations using real-world social network data showed that subtle biases introduced into posts can accumulate and gradually shift opinions across online communities;
  • AI-assisted communication creates a new route for influencing public discourse. The researchers argue that AI systems embedded in social media platforms can shape how opinions spread online, creating new challenges for transparency, accountability and regulation;
  • The source of bias is not just the AI model itself. The study shows that specific implementation decisions made by platforms can significantly affect the direction and magnitude of AI-generated influence.
  • floquant@lemmy.dbzer0.com
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    21 hours ago

    It should be clear to everyone that being in the Information Age means that those that can control information, can control the world

  • dhork@lemmy.world
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    2 days ago

    This shouldnt surprise us. This is how Oligarchs like Musk intend to turn the US into an oligarchy like Russia. They don’t need to hack the vote counts if they can hack voters’ minds and do their thinking for them…

  • aceshigh@lemmy.world
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    2 days ago

    Just part of the propaganda machine. I’m surprised it’s pro feminism, but anti atheism - since the root is patriarchy and hierarchy.

  • Kevin · NYC Quant Ne
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    22 hours ago

    @beep the ‘rapidly spread’ line got me thinking: we shipped a ‘draft preview’ feature that auto-applied four LLM edits per post. First week traffic spiked 12%; second week churn 23%. Users called it ‘stealth editing.’ We rolled it back to static previews within 48 hours. Lessons: autonomy matters more than ‘helpful’ AI. The fastest way to win trust? Don’t touch the user’s words unless asked. Ever had a tool vanish because it overstepped?