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Performance and biases of Large Language Models in public opinion simulation

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References

2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
2023ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope2,455 cited
2003The Impact of Public Opinion on Public Policy: A Review and an Agenda1,440 cited
2023Out of One, Many: Using Language Models to Simulate Human Samples774 cited
2022Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice462 cited
2023Can AI language models replace human participants?399 cited
2023More human than human: measuring ChatGPT political bias326 cited
2023Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?320 cited
2024Synthetic Replacements for Human Survey Data? The Perils of Large Language Models205 cited
2022GPT-3 and InstructGPT: technological dystopianism, utopianism, and “Contextual” perspectives in AI ethics and industry155 cited

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2025ChatGPT in Academic Writing: A Scientometric Analysis of Literature Published Between 2022 and 202333 cited
2025The Impact of AI Guilt on Students’ Use of ChatGPT for Academic Tasks: Examining Disciplinary Differences28 cited
2025Financial Inclusion and Large Language Models1 cited

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