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Generative artificial intelligence (AI) is increasingly integrated into the online platforms where humans exchange opinions; large language models (LLMs) now polish users' posts on LinkedIn and provide context for content shared on X. While…

计算机与社会 · 计算机科学 2026-05-18 Stratis Tsirtsis , Kai Rawal , Chris Russell , Brent Mittelstadt , Sandra Wachter

Political beliefs vary significantly across different countries, reflecting distinct historical, cultural, and institutional contexts. These ideologies, ranging from liberal democracies to rigid autocracies, influence human societies, as…

计算机与社会 · 计算机科学 2025-10-07 Natalia Ożegalska-Łukasik , Szymon Łukasik

Social media user profiling through content analysis is crucial for tasks like misinformation detection, engagement prediction, hate speech monitoring, and user behavior modeling. However, existing profiling techniques, including tweet…

社会与信息网络 · 计算机科学 2025-05-12 Vahid Rahimzadeh , Ali Hamzehpour , Azadeh Shakery , Masoud Asadpour

Social media platforms play a pivotal role in shaping political discourse, but analyzing their vast and rapidly evolving content remains a major challenge. We introduce an end-to-end framework for automatically inducing an interpretable…

计算与语言 · 计算机科学 2026-01-07 Alexander Brady , Tunazzina Islam

With the rise of AI-generated content spewed at scale from large language models (LLMs), genuine concerns about the spread of fake news have intensified. The perceived ability of LLMs to produce convincing fake news at scale poses new…

计算与语言 · 计算机科学 2025-04-01 Xinyu Wang , Wenbo Zhang , Sai Koneru , Hangzhi Guo , Bonam Mingole , S. Shyam Sundar , Sarah Rajtmajer , Amulya Yadav

Large language models (LLMs) have gained significant attention due to their ability to mimic human language. Identifying texts generated by LLMs is crucial for understanding their capabilities and mitigating potential consequences. This…

计算与语言 · 计算机科学 2024-07-19 Anjali Rawal , Hui Wang , Youjia Zheng , Yu-Hsuan Lin , Shanu Sushmita

We seek to democratise public-opinion research by providing practitioners with a general methodology to make representative inference from cheap, high-frequency, highly unrepresentative samples. We focus specifically on samples which are…

统计方法学 · 统计学 2023-09-13 Roberto Cerina , Raymond Duch

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…

计算与语言 · 计算机科学 2024-07-19 Steffen Herbold , Alexander Trautsch , Zlata Kikteva , Annette Hautli-Janisz

Large Language Models (LLMs) have shown impressive performance across a variety of Artificial Intelligence (AI) and natural language processing tasks, such as content creation, report generation, etc. However, unregulated malign application…

计算与语言 · 计算机科学 2023-09-15 Harika Abburi , Michael Suesserman , Nirmala Pudota , Balaji Veeramani , Edward Bowen , Sanmitra Bhattacharya

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

Recent advancements in pre-trained language models have enabled convenient methods for generating human-like text at a large scale. Though these generation capabilities hold great potential for breakthrough applications, it can also be a…

计算与语言 · 计算机科学 2023-03-08 Tharindu Kumarage , Joshua Garland , Amrita Bhattacharjee , Kirill Trapeznikov , Scott Ruston , Huan Liu

Our work addresses the critical issue of distinguishing text generated by Large Language Models (LLMs) from human-produced text, a task essential for numerous applications. Despite ongoing debate about the feasibility of such…

计算与语言 · 计算机科学 2023-10-04 Souradip Chakraborty , Amrit Singh Bedi , Sicheng Zhu , Bang An , Dinesh Manocha , Furong Huang

We have witnessed lately a rapid proliferation of advanced Large Language Models (LLMs) capable of generating high-quality text. While these LLMs have revolutionized text generation across various domains, they also pose significant risks…

计算与语言 · 计算机科学 2024-03-05 Tharindu Kumarage , Garima Agrawal , Paras Sheth , Raha Moraffah , Aman Chadha , Joshua Garland , Huan Liu

Large Language Models (LLMs) offer new avenues to simulate online communities and social media. Potential applications range from testing the design of content recommendation algorithms to estimating the effects of content policies and…

The potential of artificial intelligence (AI)-based large language models (LLMs) holds considerable promise in revolutionizing education, research, and practice. However, distinguishing between human-written and AI-generated text has become…

计算与语言 · 计算机科学 2023-11-14 Kadhim Hayawi , Sakib Shahriar , Sujith Samuel Mathew

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…

计算与语言 · 计算机科学 2026-04-14 Lionel Z. Wang , Ka Chung Ng , Yiming Ma , Wenqi Fan

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 advancement of generative AI, particularly large language models (LLMs), has a significant impact on politics and democracy, offering potential across various domains, including policymaking, political communication, analysis, and…

计算与语言 · 计算机科学 2024-12-17 Goshi Aoki

In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and misinformation detection. Meanwhile, the need to systematically…

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