1 "한국조사협회 윤리강령"
2 이경택 ; 이화정 ; 현경보, "유·무선전화 병행조사에 대한 연구 : 2011년 서울시장 보궐선거 여론조사 사례" 13 (13): 135-158, 2012
3 뒤르켐, 에밀, "사회학적 방법의 규칙들" 이른비 2021
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5 Jungherr, Andreas, "Why the Pirate Party Won the German Election of 2009 or the Trouble with Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment" 30 (30): 229-234, 2012
6 Santurkar, Shibani, "Whose Opinions Do Language Models Reflect?" 202 : 29971-30004, 2023
7 Aher, Gati V., "Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies" 202 : 337-371, 2023
8 Sarstedt, Marko, "Using Large Language Models to Generate Silicon Samples in Consumer and Marketing Research : Challenges, Opportunities, and Guidelines" 41 (41): 1254-1270, 2024
9 Hilbert, Martin, "The World’s Technological Capacity to Store, Communicate, and Compute Information" 332 (332): 60-65, 2011
10 Bisbee, James, "Synthetic Replacements for Human Survey Data? The Perils of Large Language Models" 1-16, 2024
1 "한국조사협회 윤리강령"
2 이경택 ; 이화정 ; 현경보, "유·무선전화 병행조사에 대한 연구 : 2011년 서울시장 보궐선거 여론조사 사례" 13 (13): 135-158, 2012
3 뒤르켐, 에밀, "사회학적 방법의 규칙들" 이른비 2021
4 Statham, Simon, "‘Wrap Our Arms around Them Here in Ireland’ : Social Media Campaigns in the Irish Abortion Referendum" 33 (33): 539-557, 2022
5 Jungherr, Andreas, "Why the Pirate Party Won the German Election of 2009 or the Trouble with Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment" 30 (30): 229-234, 2012
6 Santurkar, Shibani, "Whose Opinions Do Language Models Reflect?" 202 : 29971-30004, 2023
7 Aher, Gati V., "Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies" 202 : 337-371, 2023
8 Sarstedt, Marko, "Using Large Language Models to Generate Silicon Samples in Consumer and Marketing Research : Challenges, Opportunities, and Guidelines" 41 (41): 1254-1270, 2024
9 Hilbert, Martin, "The World’s Technological Capacity to Store, Communicate, and Compute Information" 332 (332): 60-65, 2011
10 Bisbee, James, "Synthetic Replacements for Human Survey Data? The Perils of Large Language Models" 1-16, 2024
11 Murthy, Dhiraj, "Sociology of Twitter/X : Trends, Challenges, and Future Research Directions" 50 : 2024
12 Rane, Halim, "Social Media, Social Movements and the Diffusion of Ideas in the Arab Uprisings" 18 (18): 97-111, 2012
13 Anthropic, "Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet"
14 Perez, Ethan, "Red Teaming Language Models with Language Models"
15 Ganguli, Deep, "Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned"
16 Sun, Seungjong, "Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information"
17 Samvelyan, Mikayel, "Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts"
18 Tumasjan, Andranik, "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment" 4 (4): 178-185, 2010
19 Argyle, Lisa P., "Out of One, Many : Using Language Models to Simulate Human Samples" 31 (31): 337-351, 2023
20 Shafayat, Sheikh, "Multi-FAct: Assessing Multilingual LLMs’ Multi-Regional Knowledge Using FActScore"
21 Bai, Xuechunzi, "Measuring Implicit Bias in Explicitly Unbiased Large Language Models"
22 Horton, John J, "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?" National Bureau of Economic Research 2023
23 Yoo, Kang Min, "HyperCLOVA X Technical Report"
24 Jakesch, Maurice, "Human Heuristics for AI-Generated Language are Flawed" 120 (120): e2208839120-, 2023
25 Dong, Xiangjue, "Disclosure and Mitigation of Gender Bias in LLMs"
26 Lazer, David M. J., "Computational Social Science : Obstacles and Opportunities" 369 (369): 1060-1062, 2020
27 Lazer, David, "Computational Social Science" 323 (323): 721-723, 2009
28 Bail, Christopher A, "Can Generative AI Improve Social Science?" 121 (121): e2314021121-, 2024
29 MacKenzie, Donald A, "An Engine, Not a Camera: How Financial Models Shape Markets" Mit Press 2008
30 Kim, Junsol, "AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction"
31 Grossmann, Igor, "AI and the Transformation of Social Science Research" 380 (380): 1108-1109, 2023
32 Wihbey, John, "AI and Epistemic Risk for Democracy: A Coming Crisis of Public Knowledge?" Northeastern University Ethics Institute 2024
33 Pellert, Max, "AI Psychometrics : Assessing the Psychological Profiles of Large Language Models through Psychometric Inventories" 19 (19): 808-826, 2023
34 Park, Peter S., "AI Deception : A Survey of Examples, Risks, and Potential Solutions" 5 (5): 100988-, 2024