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Users seek security & privacy (S&P) advice from online resources, including trusted websites and content-sharing platforms. These resources help users understand S&P technologies and tools and suggest actionable strategies. Large Language…

Human-Computer Interaction · Computer Science 2023-10-05 Yufan Chen , Arjun Arunasalam , Z. Berkay Celik

Cognitive biases often shape human decisions. While large language models (LLMs) have been shown to reproduce well-known biases, a more critical question is whether LLMs can predict biases at the individual level and emulate the dynamics of…

Artificial Intelligence · Computer Science 2026-02-27 Stephen Pilli , Vivek Nallur

Large Language Models (LLMs) can generate content that is as persuasive as human-written text and appear capable of selectively producing deceptive outputs. These capabilities raise concerns about potential misuse and unintended…

Computation and Language · Computer Science 2024-12-24 Cameron R. Jones , Benjamin K. Bergen

Large Language Models (LLMs) are becoming increasingly persuasive, demonstrating the ability to personalize arguments in conversation with humans by leveraging their personal data. This may have serious impacts on the scale and…

Computation and Language · Computer Science 2025-01-30 Jasper Timm , Chetan Talele , Jacob Haimes

Large Language Models (LLMs) can generate human-like disinformation, yet their ability to personalise such content across languages and demographics remains underexplored. This study presents the first large-scale, multilingual analysis of…

Computation and Language · Computer Science 2025-10-30 João A. Leite , Arnav Arora , Silvia Gargova , João Luz , Gustavo Sampaio , Ian Roberts , Carolina Scarton , Kalina Bontcheva

Recent advances in Large Language Models (LLMs) have enabled multi-agent systems that simulate real-world interactions with near-human reasoning. While previous studies have extensively examined biases related to protected attributes such…

Artificial Intelligence · Computer Science 2025-06-03 Min Choi , Keonwoo Kim , Sungwon Chae , Sangyeob Baek

Previous fake speech datasets were constructed from a defender's perspective to develop countermeasure (CM) systems without considering diverse motivations of attackers. To better align with real-life scenarios, we created…

Audio and Speech Processing · Electrical Eng. & Systems 2025-01-07 Hieu-Thi Luong , Haoyang Li , Lin Zhang , Kong Aik Lee , Eng Siong Chng

Large language models (LLMs) encapsulate vast amounts of knowledge but still remain vulnerable to external misinformation. Existing research mainly studied this susceptibility behavior in a single-turn setting. However, belief can change…

Computation and Language · Computer Science 2024-06-03 Rongwu Xu , Brian S. Lin , Shujian Yang , Tianqi Zhang , Weiyan Shi , Tianwei Zhang , Zhixuan Fang , Wei Xu , Han Qiu

Large language models (LLMs) are increasingly involved in shaping public understanding on contested issues. This has led to substantial discussion about the potential of LLMs to reinforce or correct misperceptions. While existing literature…

Social and Information Networks · Computer Science 2025-06-09 Adiba Mahbub Proma , Neeley Pate , Sean Kelty , Gourab Ghoshal , James N. Druckman , Ehsan Hoque

In an era increasingly influenced by artificial intelligence, the detection of fake news is crucial, especially in contexts like election seasons where misinformation can have significant societal impacts. This study evaluates the…

Computation and Language · Computer Science 2024-06-12 Sahas Koka , Anthony Vuong , Anish Kataria

Autistic adults often experience stigma and discrimination at work, leading them to seek social communication support from coworkers, friends, and family despite emotional risks. Large language models (LLMs) are increasingly considered an…

Human-Computer Interaction · Computer Science 2025-12-29 JiWoong Jang , Sanika Moharana , Patrick Carrington , Andrew Begel

Fake news significantly influences decision-making processes by misleading individuals, organizations, and even governments. Large language models (LLMs), as part of generative AI, can amplify this problem by generating highly convincing…

Computation and Language · Computer Science 2026-04-14 Lionel Z. Wang , Ka Chung Ng , Yiming Ma , Wenqi Fan

The presence of political misinformation and ideological echo chambers on social media platforms is concerning given the important role that these sites play in the public's exposure to news and current events. Algorithmic systems employed…

Social and Information Networks · Computer Science 2024-04-10 Kayla Duskin , Joseph S. Schafer , Jevin D. West , Emma S. Spiro

Echo chambers in online social networks, in which users prefer to interact only with ideologically-aligned peers, are believed to facilitate misinformation spreading and contribute to radicalize political discourse. In this paper, we gauge…

Physics and Society · Physics 2019-12-11 Wesley Cota , Silvio C. Ferreira , Romualdo Pastor-Satorras , Michele Starnini

The increasing prevalence of online misinformation has heightened the demand for automated fact-checking solutions. Large Language Models (LLMs) have emerged as potential tools for assisting in this task, but their effectiveness remains…

Computers and Society · Computer Science 2025-03-10 Nicolo' Fontana , Francesco Corso , Enrico Zuccolotto , Francesco Pierri

The emergence of the COVID-19 pandemic resulted in a significant rise in the spread of misinformation on online platforms such as Twitter. Oftentimes this growth is blamed on the idea of the "echo chamber." However, the behavior said to…

Social and Information Networks · Computer Science 2024-12-13 Caleb Stam , Emily Saldanha , Mahantesh Halappanavar , Anurag Acharya

Large language models (LLMs) such as those embedded in 'chatbots' are accelerating and democratizing research by providing comprehensible information and expertise from many different fields. However, these models may also confer easy…

Computers and Society · Computer Science 2023-06-07 Emily H. Soice , Rafael Rocha , Kimberlee Cordova , Michael Specter , Kevin M. Esvelt

With the recent advent of Large Language Models (LLMs), such as ChatGPT from OpenAI, BARD from Google, Llama2 from Meta, and Claude from Anthropic AI, gain widespread use, ensuring their security and robustness is critical. The widespread…

Human-Computer Interaction · Computer Science 2023-11-28 Sonali Singh , Faranak Abri , Akbar Siami Namin

Recent progress in artificial intelligence (AI), particularly in the domain of large language models (LLMs), has resulted in powerful and versatile dual-use systems. This intelligence can be put towards a wide variety of beneficial tasks,…

Computers and Society · Computer Science 2023-12-25 Julian Hazell

The proliferation of disinformation, particularly in multimodal contexts combining text and images, presents a significant challenge across digital platforms. This study investigates the potential of large multimodal models (LMMs) in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Yasmina Kheddache , Marc Lalonde
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