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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…

计算与语言 · 计算机科学 2024-04-25 Canyu Chen , Kai Shu

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…

计算与语言 · 计算机科学 2023-09-28 Bohan Jiang , Zhen Tan , Ayushi Nirmal , Huan Liu

The emergence of large language models (LLMs) has resulted in the production of LLM-generated texts that is highly sophisticated and almost indistinguishable from texts written by humans. However, this has also sparked concerns about the…

计算与语言 · 计算机科学 2023-06-06 Ruixiang Tang , Yu-Neng Chuang , Xia Hu

The capabilities of recent large language models (LLMs) to generate high-quality content indistinguishable by humans from human-written texts raises many concerns regarding their misuse. Previous research has shown that LLMs can be…

计算与语言 · 计算机科学 2025-07-28 Aneta Zugecova , Dominik Macko , Ivan Srba , Robert Moro , Jakub Kopal , Katarina Marcincinova , Matus Mesarcik

Generative AI and misinformation research has evolved since our 2024 survey. This paper presents an updated perspective, transitioning from literature review to practical countermeasures. We report on changes in the threat landscape,…

计算机与社会 · 计算机科学 2026-02-12 Alexander Loth , Martin Kappes , Marc-Oliver Pahl

The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT have led to an increase in synthetic content generation with implications across a variety of sectors, including media, cybersecurity, public discourse,…

计算与语言 · 计算机科学 2023-10-25 Xianjun Yang , Liangming Pan , Xuandong Zhao , Haifeng Chen , Linda Petzold , William Yang Wang , Wei Cheng

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…

计算与语言 · 计算机科学 2025-06-13 Ivan Vykopal , Matúš Pikuliak , Ivan Srba , Robert Moro , Dominik Macko , Maria Bielikova

ChatGPT has become a global sensation. As ChatGPT and other Large Language Models (LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating fake news, plagiarism, manipulating public opinion, cheating, and…

机器学习 · 计算机科学 2023-04-06 Alessandro Pegoraro , Kavita Kumari , Hossein Fereidooni , Ahmad-Reza Sadeghi

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…

计算与语言 · 计算机科学 2024-12-30 Mengyang Chen , Lingwei Wei , Han Cao , Wei Zhou , Songlin Hu

While recent advancements in the capabilities and widespread accessibility of generative language models, such as ChatGPT (OpenAI, 2022), have brought about various benefits by generating fluent human-like text, the task of distinguishing…

计算与语言 · 计算机科学 2023-09-15 Mahdi Dhaini , Wessel Poelman , Ege Erdogan

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…

计算与语言 · 计算机科学 2023-09-19 Jinyan Su , Terry Yue Zhuo , Jonibek Mansurov , Di Wang , Preslav Nakov

The increasing popularity of large language models (LLMs) such as ChatGPT has led to growing concerns about their safety, security risks, and ethical implications. This paper aims to provide an overview of the different types of security…

密码学与安全 · 计算机科学 2023-05-16 Erik Derner , Kristina Batistič

Since the proliferation of LLMs, there have been concerns about their misuse for harmful content creation and spreading. Recent studies justify such fears, providing evidence of LLM vulnerabilities and high potential of their misuse. Humans…

计算与语言 · 计算机科学 2025-03-20 Dominik Macko , Robert Moro , Ivan Srba

In recent years, large language models (LLMs) have become incredibly popular, with ChatGPT for example being used by over a billion users. While these models exhibit remarkable language understanding and logical prowess, a notable challenge…

计算与语言 · 计算机科学 2024-02-06 Elijah Berberette , Jack Hutchins , Amir Sadovnik

As large language models (LLMs) like ChatGPT have gained traction, an increasing number of news websites have begun utilizing them to generate articles. However, not only can these language models produce factually inaccurate articles on…

计算机与社会 · 计算机科学 2024-03-21 Hans W. A. Hanley , Zakir Durumeric

Misinformation such as fake news and rumors is a serious threat on information ecosystems and public trust. The emergence of Large Language Models (LLMs) has great potential to reshape the landscape of combating misinformation. Generally,…

计算机与社会 · 计算机科学 2023-11-13 Canyu Chen , Kai Shu

While Large Language Models (LLMs) can amplify online misinformation, they also show promise in tackling misinformation. In this paper, we empirically study the capabilities of three LLMs -- ChatGPT, Gemini, and Claude -- in countering…

计算与语言 · 计算机科学 2025-09-29 Adiba Mahbub Proma , Neeley Pate , James Druckman , Gourab Ghoshal , Hangfeng He , Ehsan Hoque

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…

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.,…

计算与语言 · 计算机科学 2025-09-24 Yiyang Feng , Yichen Wang , Shaobo Cui , Boi Faltings , Mina Lee , Jiawei Zhou

Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investigation into the capabilities of LLMs to automate stages of an…

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