Summary of The Dark Patterns Of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features For Big Five Personality Traits in Llms Responses, by Wiktoria Mieleszczenko-kowszewicz et al.
The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses
by Wiktoria Mieleszczenko-Kowszewicz, Dawid Płudowski, Filip Kołodziejczyk, Jakub Świstak, Julian Sienkiewicz, Przemysław Biecek
First submitted to arxiv on: 8 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The study investigates how Large Language Models (LLMs) adjust linguistic features to create personalized persuasive outputs. Researchers identified 13 crucial linguistic features for influencing personalities across different levels of the Big Five model. They analyzed prompts with personality trait information on 19 LLMs from five model families, finding that models use anxiety-related words for neuroticism, achievement-related words for conscientiousness, and fewer cognitive processes words for openness to experience. The study shows how LLMs tailor responses based on personality cues in prompts, indicating their potential to create persuasive content affecting the mind and well-being of recipients. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The study looks at how computers can make personalized messages that try to persuade people. Researchers found 13 important things about language that help computers make more effective messages for different personalities. They tested these languages on 19 computer programs from five different groups, finding that some are better than others at changing their language based on the personality they’re trying to influence. This study shows how computers can use information about a person’s personality to create messages that might affect how people think and feel. |
