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The capabilities of large language models (LLMs) have raised concerns about their potential to create and propagate convincing narratives.
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Weaponized health communication: Twitter bots and russian trolls amplify the vaccine debate
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Asking about social circles improves election predictions
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The tactics & tropes of the internet research agency
Chatgpt and the rise of large language models: the new ai-driven infodemic threat in public health
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Beyond memorization: Violating privacy via inference with large language models
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American public opinion: Its origins, content, and impact
Robert S Erikson and Kent L Tedin. 2019 · 2019
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Exploiting personal characteristics of debaters for predicting persuasiveness
Khalid Al Khatib, Michael Völske, Shahbaz Syed, Nikolay Kolyada, and Benno Stein. 2020 · 2020
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The small effects of political advertising are small regardless of context, message, sender, or receiver: Evidence from 59 real-time randomized experiments
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On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al. 2021 · 2021
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Robin Staab, Mark Vero, Mislav Balunović, and Martin Vechev. 2023 · 2023
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Quantifying the potential persuasive returns to political microtargeting
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Sociotechnical safety evaluation of generative AI systems
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The Persuasive Power of Large Language Models
Simon Martin Breum, Daniel Vædele Egdal, Victor Gram Mortensen, Anders Giovanni Møller, and Luca Maria Aiello. 2024 · 2024
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Measuring the persuasiveness of language models
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Evaluating the persuasive influence of political microtargeting with large language models
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Quantifying the persona effect in llm simulations
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Are large language models reliable argument quality annotators?
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On the conversational persuasiveness of large language models: A randomized controlled trial
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Wisdom of the silicon crowd: Llm ensemble prediction capabilities match human crowd accuracy
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The persuasive effects of political microtargeting in the age of generative artificial intelligence
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Argument quality assessment in the age of instruction-following large language models
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