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Our society is facing rampant misinformation harming public health and trust. To address the societal challenge, we introduce FACT-GPT, a system leveraging Large Language Models (LLMs) to automate the claim matching stage of fact-checking.…

Computation and Language · Computer Science 2024-02-09 Eun Cheol Choi , Emilio Ferrara

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…

Modern AI technology like Large language models (LLMs) has the potential to pollute the public information sphere with made-up content, which poses a significant threat to the cohesion of societies at large. A wide range of research has…

Computation and Language · Computer Science 2024-07-19 Steffen Herbold , Alexander Trautsch , Zlata Kikteva , Annette Hautli-Janisz

As large language models (LLMs) have been deployed in various real-world settings, concerns about the harm they may propagate have grown. Various jailbreaking techniques have been developed to expose the vulnerabilities of these models and…

Computation and Language · Computer Science 2025-02-19 Yubin Ge , Neeraja Kirtane , Hao Peng , Dilek Hakkani-Tür

The paper considers the possibility of fine-tuning Llama 2 large language model (LLM) for the disinformation analysis and fake news detection. For fine-tuning, the PEFT/LoRA based approach was used. In the study, the model was fine-tuned…

Computation and Language · Computer Science 2023-09-12 Bohdan M. Pavlyshenko

The increasing sophistication of large language models (LLMs) has sparked growing concerns regarding their potential role in exacerbating ideological polarization through the automated generation of persuasive and biased content. This study…

Computation and Language · Computer Science 2025-06-18 . Pazzaglia , V. Vendetti , L. D. Comencini , F. Deriu , V. Modugno

In recent years, significant concern has emerged regarding the potential threat that Large Language Models (LLMs) pose to democratic societies through their persuasive capabilities. We expand upon existing research by conducting two survey…

Computation and Language · Computer Science 2025-05-02 Zhongren Chen , Joshua Kalla , Quan Le , Shinpei Nakamura-Sakai , Jasjeet Sekhon , Ruixiao Wang

Echo chambers may exclude social media users from being exposed to other opinions, therefore, can cause rampant negative effects. Among abundant evidence are the 2016 and 2020 US presidential elections conspiracy theories and polarization,…

Social and Information Networks · Computer Science 2021-08-13 Bohan Jiang , Mansooreh Karami , Lu Cheng , Tyler Black , Huan Liu

Large language models (LLMs) have been shown to be persuasive across a variety of contexts. But it remains unclear whether this persuasive power advantages truth over falsehood, or if LLMs can promote misbeliefs just as easily as refuting…

Misinformation regarding climate change is a key roadblock in addressing one of the most serious threats to humanity. This paper investigates factual accuracy in large language models (LLMs) regarding climate information. Using true/false…

Computation and Language · Computer Science 2024-05-31 Michael Fore , Simranjit Singh , Chaehong Lee , Amritanshu Pandey , Antonios Anastasopoulos , Dimitrios Stamoulis

Social media echo chambers play a central role in the spread of misinformation, yet existing models often overlook the influence of individual confirmation bias. An existing model of echo chambers is the "gravity well" model, which creates…

Social and Information Networks · Computer Science 2025-09-09 Joseph Jackson , Georgiy Lapin , Jeremy E. Thompson

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

AI, especially Large Language Models (LLMs) like ChatGPT, have rapidly developed and gained widespread adoption in the past five years, shifting user preference from traditional search engines. However, the generative nature of LLMs raises…

Human-Computer Interaction · Computer Science 2025-04-22 Phillip Driscoll , Priyanka Kumar

Large Language Models (LLMs) represent a major step toward artificial general intelligence, significantly advancing our ability to interact with technology. While LLMs perform well on Natural Language Processing tasks -- such as…

Computation and Language · Computer Science 2025-05-15 Brandon Smith , Mohamed Reda Bouadjenek , Tahsin Alamgir Kheya , Phillip Dawson , Sunil Aryal

Large language models (LLMs) have demonstrated their potential in social science research by emulating human perceptions and behaviors, a concept referred to as algorithmic fidelity. This study assesses the algorithmic fidelity and bias of…

Artificial Intelligence · Computer Science 2024-08-09 S. Lee , T. Q. Peng , M. H. Goldberg , S. A. Rosenthal , J. E. Kotcher , E. W. Maibach , A. Leiserowitz

The latest advancements in AI and deep learning have led to a breakthrough in large language model (LLM)-based agents such as GPT-4. However, many commercial conversational agent development tools are pipeline-based and have limitations in…

Computation and Language · Computer Science 2023-09-08 Mina Foosherian , Hendrik Purwins , Purna Rathnayake , Touhidul Alam , Rui Teimao , Klaus-Dieter Thoben

The purpose of this study is to assess how large language models (LLMs) can be used for fact-checking and contribute to the broader debate on the use of automated means for veracity identification. To achieve this purpose, we use AI…

Computation and Language · Computer Science 2025-03-12 Elizaveta Kuznetsova , Ilaria Vitulano , Mykola Makhortykh , Martha Stolze , Tomas Nagy , Victoria Vziatysheva

The recent popularity of large language models (LLMs) has brought a significant impact to boundless fields, particularly through their open-ended ecosystem such as the APIs, open-sourced models, and plugins. However, with their widespread…

Machine Learning · Computer Science 2023-08-31 Wentao Ye , Mingfeng Ou , Tianyi Li , Yipeng chen , Xuetao Ma , Yifan Yanggong , Sai Wu , Jie Fu , Gang Chen , Haobo Wang , Junbo Zhao

Real-world information, often multimodal, can be misinformed or potentially misleading due to factual errors, outdated claims, missing context, misinterpretation, and more. Such "misinformation" is understudied, challenging to address, and…

Computation and Language · Computer Science 2026-01-13 Xinyi Zhou , Ashish Sharma , Amy X. Zhang , Tim Althoff

Large language models (LLMs) can reproduce a wide variety of rhetorical styles and generate text that expresses a broad spectrum of sentiments. This capacity, now available at low cost, makes them powerful tools for manipulation and…

Social and Information Networks · Computer Science 2024-05-08 Yaqub Chaudhary , Jonnie Penn