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Related papers: Combating Misinformation in the Age of LLMs: Oppor…

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The advent of generative Large Language Models (LLMs) such as ChatGPT has catalyzed transformative advancements across multiple domains. However, alongside these advancements, they have also introduced potential threats. One critical…

Computation and Language · Computer Science 2023-09-28 Bohan Jiang , Zhen Tan , Ayushi Nirmal , Huan Liu

Fake news poses a significant threat to the integrity of information ecosystems and public trust. The advent of Large Language Models (LLMs) holds considerable promise for transforming the battle against fake news. Generally, LLMs represent…

Computation and Language · Computer Science 2024-09-27 Dorsaf Sallami , Yuan-Chen Chang , Esma Aïmeur

Large Language Models (LLMs) have garnered significant attention for their powerful ability in natural language understanding and reasoning. In this paper, we present a comprehensive empirical study to explore the performance of LLMs on…

Computation and Language · Computer Science 2024-12-30 Mengyang Chen , Lingwei Wei , Han Cao , Wei Zhou , Songlin Hu

Automated disinformation generation is often listed as an important risk associated with large language models (LLMs). The theoretical ability to flood the information space with disinformation content might have dramatic consequences for…

Computation and Language · Computer Science 2025-06-13 Ivan Vykopal , Matúš Pikuliak , Ivan Srba , Robert Moro , Dominik Macko , Maria Bielikova

The emergence of Large Language Models (LLMs) presents a dual challenge in the fight against disinformation. These powerful tools, capable of generating human-like text at scale, can be weaponised to produce sophisticated and persuasive…

In this paper, we comprehensively investigate the potential misuse of modern Large Language Models (LLMs) for generating credible-sounding misinformation and its subsequent impact on information-intensive applications, particularly…

Computation and Language · Computer Science 2023-10-30 Yikang Pan , Liangming Pan , Wenhu Chen , Preslav Nakov , Min-Yen Kan , William Yang Wang

The pervasiveness of the dissemination of fake news through social media platforms poses critical risks to the trust of the general public, societal stability, and democratic institutions. This challenge calls for novel methodologies in…

Computation and Language · Computer Science 2025-02-04 Jingyuan Yi , Zeqiu Xu , Tianyi Huang , Peiyang Yu

Large Language Models (LLMs) have demonstrated impressive capabilities in reasoning, positioning them as promising tools for supporting human problem-solving. However, what happens when their performance is affected by misinformation, i.e.,…

Computation and Language · Computer Science 2025-09-24 Yiyang Feng , Yichen Wang , Shaobo Cui , Boi Faltings , Mina Lee , Jiawei Zhou

The advent of Large Language Models (LLMs) has made a transformative impact. However, the potential that LLMs such as ChatGPT can be exploited to generate misinformation has posed a serious concern to online safety and public trust. A…

Computation and Language · Computer Science 2024-04-25 Canyu Chen , Kai Shu

Large Language Models (LLMs) have shown remarkable capabilities in knowledge-intensive tasks, while they remain vulnerable when encountering misinformation. Existing studies have explored the role of LLMs in combating misinformation, but…

Computation and Language · Computer Science 2025-05-29 Miao Peng , Nuo Chen , Jianheng Tang , Jia Li

The spread of fake news has emerged as a critical challenge, undermining trust and posing threats to society. In the era of Large Language Models (LLMs), the capability to generate believable fake content has intensified these concerns. In…

Computation and Language · Computer Science 2023-09-19 Jinyan Su , Terry Yue Zhuo , Jonibek Mansurov , Di Wang , Preslav Nakov

Large Language Models (LLMs) are a double-edged sword capable of generating harmful misinformation -- inadvertently, or when prompted by "jailbreak" attacks that attempt to produce malicious outputs. LLMs could, with additional research, be…

Computation and Language · Computer Science 2025-08-15 Ayana Hussain , Patrick Zhao , Nicholas Vincent

Fake news has now grown into a big problem for societies and also a major challenge for people fighting disinformation. This phenomenon plagues democratic elections, reputations of individual persons or organizations, and has negatively…

The recent success in language generation capabilities of large language models (LLMs), such as GPT, Bard, Llama etc., can potentially lead to concerns about their possible misuse in inducing mass agitation and communal hatred via…

Computation and Language · Computer Science 2024-01-10 Shrey Satapara , Parth Mehta , Debasis Ganguly , Sandip Modha

Increased sophistication of large language models (LLMs) and the consequent quality of generated multilingual text raises concerns about potential disinformation misuse. While humans struggle to distinguish LLM-generated content from…

Computation and Language · Computer Science 2026-02-05 Dominik Macko , Aashish Anantha Ramakrishnan , Jason Samuel Lucas , Robert Moro , Ivan Srba , Adaku Uchendu , Dongwon Lee

The widespread deployment of large language models (LLMs) across critical domains has amplified the societal risks posed by algorithmically generated misinformation. Unlike traditional false content, LLM-generated misinformation can be…

Information Retrieval · Computer Science 2025-07-09 Shuliang Liu , Hongyi Liu , Aiwei Liu , Bingchen Duan , Qi Zheng , Yibo Yan , He Geng , Peijie Jiang , Jia Liu , Xuming Hu

Large Language Models (LLMs) demonstrate impressive capabilities across various fields, yet their increasing use raises critical security concerns. This article reviews recent literature addressing key issues in LLM security, with a focus…

Cryptography and Security · Computer Science 2025-11-26 Benji Peng , Keyu Chen , Ming Li , Pohsun Feng , Ziqian Bi , Junyu Liu , Xinyuan Song , Qian Niu

Despite extensive research and development of tools and technologies for misinformation tracking and detection, we often find ourselves largely on the losing side of the battle against misinformation. In an era where misinformation poses a…

Social and Information Networks · Computer Science 2025-01-28 Harith Alani , Grégoire Burel

Misinformation is on the rise, and the strong writing capabilities of LLMs lower the barrier for malicious actors to produce and disseminate false information. We study how LLMs behave when prompted to spread misinformation across languages…

Existing challenges in misinformation exposure and susceptibility vary across demographic groups, as some populations are more vulnerable to misinformation than others. Large language models (LLMs) introduce new dimensions to these…

Computation and Language · Computer Science 2025-10-15 Angana Borah , Rada Mihalcea , Verónica Pérez-Rosas
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