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The prevalence of propaganda in our digital society poses a challenge to societal harmony and the dissemination of truth. Detecting propaganda through NLP in text is challenging due to subtle manipulation techniques and contextual…

计算与语言 · 计算机科学 2023-11-28 Kilian Sprenkamp , Daniel Gordon Jones , Liudmila Zavolokina

The use of propagandistic techniques in online content has increased in recent years aiming to manipulate online audiences. Fine-grained propaganda detection and extraction of textual spans where propaganda techniques are used, are…

计算与语言 · 计算机科学 2024-10-08 Maram Hasanain , Fatema Ahmad , Firoj Alam

The growing complexity and diversity of news coverage have made framing analysis a crucial yet challenging task in computational social science. Traditional approaches, including manual annotation and fine-tuned models, remain limited by…

计算与语言 · 计算机科学 2026-05-22 Valeria Pastorino , Jasivan A. Sivakumar , Nafise Sadat Moosavi

The overwhelming success of GPT-4 in early 2023 highlighted the transformative potential of large language models (LLMs) across various sectors, including national security. This article explores the implications of LLM integration within…

密码学与安全 · 计算机科学 2024-07-08 William N. Caballero , Phillip R. Jenkins

Social media influence campaigns pose significant challenges to public discourse and democracy. Traditional detection methods fall short due to the complexity and dynamic nature of social media. Addressing this, we propose a novel detection…

社会与信息网络 · 计算机科学 2023-11-15 Luca Luceri , Eric Boniardi , Emilio Ferrara

Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have demonstrated their ability in a multitude of tasks. This project aims to explore the capabilities of GPT-3.5, a leading…

计算与语言 · 计算机科学 2023-11-02 Jingjing Wang , Joshua Luo , Grace Yang , Allen Hong , Feng Luo

The success of Large Language Models (LLMs) in multicultural environments hinges on their ability to understand users' diverse cultural backgrounds. We measure this capability by having an LLM simulate human profiles representing various…

计算与语言 · 计算机科学 2024-08-14 Louis Kwok , Michal Bravansky , Lewis D. Griffin

Large Language Models (LLMs) are able to provide assistance on a wide range of information-seeking tasks. However, model outputs may be misleading, whether unintentionally or in cases of intentional deception. We investigate the ability of…

计算与语言 · 计算机科学 2024-07-17 Betty Li Hou , Kejian Shi , Jason Phang , James Aung , Steven Adler , Rosie Campbell

A Large Language Model (LLM) is an artificial intelligence system that has been trained on vast amounts of natural language data, enabling it to generate human-like responses to written or spoken language input. GPT-3.5 is an example of an…

人工智能 · 计算机科学 2023-05-09 Gaurav Suri , Lily R. Slater , Ali Ziaee , Morgan Nguyen

Large Language Models (LLMs) have recently emerged as powerful tools for natural language generation, with applications spanning from content creation to social simulations. Their ability to mimic human interactions raises both…

计算与语言 · 计算机科学 2025-06-30 Daniele Cirulli , Giulio Cimini , Giovanni Palermo

As the application of Large Language Models (LLMs) spreads across various industries, there are increasing concerns about the potential for their misuse, especially in sensitive areas such as political discourse. Deliberately aligning LLMs…

计算与语言 · 计算机科学 2026-04-28 Lisa Korver , Mohamed Mostagir , Sherief Reda

Propagandists use rhetorical devices that rely on logical fallacies and emotional appeals to advance their agendas. Recognizing these techniques is key to making informed decisions. Recent advances in Natural Language Processing (NLP) have…

计算与语言 · 计算机科学 2025-05-21 Julia Jose , Rachel Greenstadt

With the development of large language models (LLMs) like ChatGPT, both their vast applications and potential vulnerabilities have come to the forefront. While developers have integrated multiple safety mechanisms to mitigate their misuse,…

计算与语言 · 计算机科学 2024-07-23 Xiao Liu , Liangzhi Li , Tong Xiang , Fuying Ye , Lu Wei , Wangyue Li , Noa Garcia

Large Language Models (LLMs) are a transformational technology, fundamentally changing how people obtain information and interact with the world. As people become increasingly reliant on them for an enormous variety of tasks, a body of…

计算机与社会 · 计算机科学 2025-05-08 Nouar Aldahoul , Hazem Ibrahim , Matteo Varvello , Aaron Kaufman , Talal Rahwan , Yasir Zaki

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…

人工智能 · 计算机科学 2024-08-09 S. Lee , T. Q. Peng , M. H. Goldberg , S. A. Rosenthal , J. E. Kotcher , E. W. Maibach , A. Leiserowitz

Large Language Models (LLMs) are widely used for text generation, making it crucial to address potential bias. This study investigates ideological framing bias in LLM-generated articles, focusing on the subtle and subjective nature of such…

计算与语言 · 计算机科学 2026-01-13 Molly Kennedy , Ayyoob Imani , Timo Spinde , Akiko Aizawa , Hinrich Schütze

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…

Large language models (LLMs) have demonstrated human-level performance on a vast spectrum of natural language tasks. However, few studies have addressed the LLM threat and vulnerability from an ideology perspective, especially when they are…

计算与语言 · 计算机科学 2023-09-29 Xiaotian Zhou , Qian Wang , Xiaofeng Wang , Haixu Tang , Xiaozhong Liu

The development and popularization of large language models (LLMs) have raised concerns that they will be used to create tailor-made, convincing arguments to push false or misleading narratives online. Early work has found that language…

计算机与社会 · 计算机科学 2025-05-21 Francesco Salvi , Manoel Horta Ribeiro , Riccardo Gallotti , Robert West

We use instruction-tuned Large Language Models (LLMs) like GPT-4, Llama 3, MiXtral, or Aya to position political texts within policy and ideological spaces. We ask an LLM where a tweet or a sentence of a political text stands on the focal…

计算与语言 · 计算机科学 2024-09-06 Gaël Le Mens , Aina Gallego
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