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相关论文: Can Large Language Models Detect Rumors on Social …

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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

Detecting online sexual predatory behaviours and abusive language on social media platforms has become a critical area of research due to the growing concerns about online safety, especially for vulnerable populations such as children and…

计算与语言 · 计算机科学 2023-08-29 Thanh Thi Nguyen , Campbell Wilson , Janis Dalins

Large language models (LLMs) have exploded in popularity due to their ability to perform a wide array of natural language tasks. Text-based content moderation is one LLM use case that has received recent enthusiasm, however, there is little…

人机交互 · 计算机科学 2024-01-18 Deepak Kumar , Yousef AbuHashem , Zakir Durumeric

Large Language Models (LLMs) have emerged as powerful tools in the field of Natural Language Processing (NLP) and have recently gained significant attention in the domain of Recommendation Systems (RS). These models, trained on massive…

信息检索 · 计算机科学 2024-06-19 Likang Wu , Zhi Zheng , Zhaopeng Qiu , Hao Wang , Hongchao Gu , Tingjia Shen , Chuan Qin , Chen Zhu , Hengshu Zhu , Qi Liu , Hui Xiong , Enhong Chen

Social media platforms are rife with politically charged discussions. Therefore, accurately deciphering and predicting partisan biases using Large Language Models (LLMs) is increasingly critical. In this study, we address the challenge of…

计算与语言 · 计算机科学 2023-11-17 Zihao He , Siyi Guo , Ashwin Rao , Kristina Lerman

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…

计算机与社会 · 计算机科学 2025-03-10 Nicolo' Fontana , Francesco Corso , Enrico Zuccolotto , Francesco Pierri

Due to the rapid spread of rumors on social media, rumor detection has become an extremely important challenge. Existing methods for rumor detection have achieved good performance, as they have collected enough corpus from the same data…

人工智能 · 计算机科学 2024-03-28 Xiang Tao , Mingqing Zhang , Qiang Liu , Shu Wu , Liang Wang

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

Recently, online social media has become a primary source for new information and misinformation or rumours. In the absence of an automatic rumour detection system the propagation of rumours has increased manifold leading to serious…

计算与语言 · 计算机科学 2022-12-21 Shaswat Patel , Prince Bansal , Preeti Kaur

Detecting deception in an increasingly digital world is both a critical and challenging task. In this study, we present a comprehensive evaluation of the automated deception detection capabilities of Large Language Models (LLMs) and Large…

计算与语言 · 计算机科学 2025-06-12 Md Messal Monem Miah , Adrita Anika , Xi Shi , Ruihong Huang

While large language models (LLMs) excel in mathematical and code reasoning, we observe they struggle with social reasoning tasks, exhibiting cognitive confusion, logical inconsistencies, and conflation between objective world states and…

计算与语言 · 计算机科学 2025-10-14 Jialu Du , Guiyang Hou , Yihui Fu , Chen Wu , Wenqi Zhang , Yongliang Shen , Weiming Lu

The capabilities of large language models (LLMs) are widely regarded as relying on autoregressive models (ARMs). We challenge this notion by introducing LLaDA, a diffusion model trained from scratch under the pre-training and supervised…

计算与语言 · 计算机科学 2025-10-21 Shen Nie , Fengqi Zhu , Zebin You , Xiaolu Zhang , Jingyang Ou , Jun Hu , Jun Zhou , Yankai Lin , Ji-Rong Wen , Chongxuan Li

Knowing the reliability of a model's response is essential in practical applications. Given the strong generation capabilities of large language models (LLMs), research has focused on generating verbalized confidence. This approach is…

计算与语言 · 计算机科学 2026-04-02 Ante Wang , Weizhi Ma , Yang Liu

Social media discourse involves people from different backgrounds, beliefs, and motives. Thus, often such discourse can devolve into toxic interactions. Generative Models, such as Llama and ChatGPT, have recently exploded in popularity due…

机器学习 · 计算机科学 2024-11-21 Anique Tahir , Lu Cheng , Manuel Sandoval , Yasin N. Silva , Deborah L. Hall , Huan Liu

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…

计算与语言 · 计算机科学 2024-12-24 Cameron R. Jones , Benjamin K. Bergen

Sensitive attributes are legally protected characteristics that should not be used to discriminate. Careful steps have been taken to minimize the risk of human bias regarding these fields, such as race and age. Large language models (LLMs)…

计算机与社会 · 计算机科学 2026-04-14 Anay Agarwalla , Simeon Sayer

An essential part of monitoring machine learning models in production is measuring input and output data drift. In this paper, we present a system for measuring distributional shifts in natural language data and highlight and investigate…

计算与语言 · 计算机科学 2023-12-06 Gyandev Gupta , Bashir Rastegarpanah , Amalendu Iyer , Joshua Rubin , Krishnaram Kenthapadi

The rise of social media has amplified the spread of fake news, now further complicated by large language models (LLMs) like ChatGPT, which ease the generation of highly convincing, error-free misinformation, making it increasingly…

计算与语言 · 计算机科学 2024-10-28 Muhammad Zain Ali , Yuxia Wang , Bernhard Pfahringer , Tony Smith

Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform…

密码学与安全 · 计算机科学 2024-03-15 Biwei Yan , Kun Li , Minghui Xu , Yueyan Dong , Yue Zhang , Zhaochun Ren , Xiuzhen Cheng

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