Large language models (LLMs) and the institutionalization of misinformation

被引:4
|
作者
Garry, Maryanne [1 ]
Chan, Way Ming [1 ]
Foster, Jeffrey [2 ]
Henkel, Linda A. [3 ]
机构
[1] Univ Waikato, Psychol, Hamilton, New Zealand
[2] Macquarie Univ, Cybersecur Studies, Sydney, Australia
[3] Fairfield Univ, Psychol & Brain Sci, Fairfield, CT USA
关键词
TRUTH; ACCURACY; CONFIDENCE; RESISTANCE; FLUENCY; MEMORY;
D O I
10.1016/j.tics.2024.08.007
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Large language models (LLMs), such as ChatGPT, flood the Internet with true and false information, crafted and delivered with techniques that psychological science suggests will encourage people to think that information is true. What's more, as people feed this misinformation back into the Internet, emerging LLMs will adopt it and feed it back in other models. Such a scenario means we could lose access to information that helps us tell what is real from unreal - to do 'reality monitoring.' If that happens, misinformation will be the new foundation we use to plan, to make decisions, and to vote. We will lose trust in our institutions and each other.
引用
收藏
页码:1078 / 1088
页数:11
相关论文
共 50 条
  • [41] LLMs, Turing tests and Chinese rooms: the prospects for meaning in large language models
    Borg, Emma
    INQUIRY-AN INTERDISCIPLINARY JOURNAL OF PHILOSOPHY, 2025,
  • [42] Adversarial attacks and defenses for large language models (LLMs): methods, frameworks & challenges
    Kumar, Pranjal
    INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, 2024, 13 (03)
  • [43] Mitigating Insecure Outputs in Large Language Models(LLMs): A Practical Educational Module
    Barek, Md Abdul
    Rahman, Md Mostafizur
    Akter, Mst Shapna
    Riad, A. B. M. Kamrul Islam
    Rahman, Md Abdur
    Shahriar, Hossain
    Rahman, Akond
    Wu, Fan
    2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024, 2024, : 2424 - 2429
  • [44] Legal large language models (LLMs): legal dynamos or “fancifully packaged ChatGPT”?
    Fife Ogunde
    Discover Artificial Intelligence, 5 (1):
  • [45] EchoSwift An Inference Benchmarking and Configuration Discovery Tool for Large Language Models (LLMs)
    Krishna, Karthik
    Bandili, Ramana
    COMPANION OF THE 15TH ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING, ICPE COMPANION 2024, 2024, : 158 - 162
  • [46] Artificial Intelligence and content analysis: the large language models (LLMs) and the automatized categorization
    Carius, Ana Carolina
    Teixeira, Alex Justen
    AI & SOCIETY, 2024,
  • [47] Causality Extraction from Medical Text Using Large Language Models (LLMs)
    Gopalakrishnan, Seethalakshmi
    Garbayo, Luciana
    Zadrozny, Wlodek
    INFORMATION, 2025, 16 (01)
  • [48] USING LARGE LANGUAGE MODELS (LLMS) FOR DATA EXTRACTION IN LITERATURE REVIEWS: AN ENHANCED APPROACH
    Lambova, A.
    Matev, K.
    Gallinaro, J.
    Guerra, I
    Rtveladze, K.
    Caverly, S.
    VALUE IN HEALTH, 2024, 27 (12)
  • [49] "Conversing" With Qualitative Data: Enhancing Qualitative Research Through Large Language Models (LLMs)
    Hayes, Adam S.
    INTERNATIONAL JOURNAL OF QUALITATIVE METHODS, 2025, 24
  • [50] Potentials and Challenges of Large Language Models (LLMs) in the Context of Administrative Decision-Making
    Pesch, Paulina Jo
    EUROPEAN JOURNAL OF RISK REGULATION, 2025,