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相关论文: Rumor Detection on Social Media: Datasets, Methods…

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False information can be created and spread easily through the web and social media platforms, resulting in widespread real-world impact. Characterizing how false information proliferates on social platforms and why it succeeds in deceiving…

社会与信息网络 · 计算机科学 2018-04-24 Srijan Kumar , Neil Shah

The wide spread of rumors on social media has caused a negative impact on people's daily life, leading to potential panic, fear, and mental health problems for the public. How to debunk rumors as early as possible remains a challenging…

人工智能 · 计算机科学 2024-04-03 Tianrui Liu , Qi Cai , Changxin Xu , Bo Hong , Fanghao Ni , Yuxin Qiao , Tsungwei Yang

The rapid increase in fake news, which causes significant damage to society, triggers many fake news related studies, including the development of fake news detection and fact verification techniques. The resources for these studies are…

机器学习 · 计算机科学 2021-11-08 Taichi Murayama

The proliferation of false information in the digital age has become a pressing concern, necessitating the development of effective and robust detection methods. This paper offers a comprehensive review of existing false information…

社会与信息网络 · 计算机科学 2025-06-24 Kun Xie , Sibo Wang

While social networks can provide an ideal platform for up-to-date information from individuals across the world, it has also proved to be a place where rumours fester and accidental or deliberate misinformation often emerges. In this…

With social media becoming ubiquitous, information consumption from this media has also increased. However, one of the serious problems that have emerged with this increase, is the propagation of rumors. Therefore, rumor identification is a…

社会与信息网络 · 计算机科学 2020-07-23 Mingxuan Chen , Ning Wang , K. P. Subbalakshmi

Rumor source identification in large social networks has received significant attention lately. Most recent works deal with the scale of the problem by observing a subset of the nodes in the network, called sensors, to estimate the source.…

社会与信息网络 · 计算机科学 2015-09-03 Alireza Louni , Anand Santhanakrishnan , K. P. Subbalakshmi

In this work, we investigate to use Large Language Models (LLMs) for rumor detection on social media. However, it is challenging for LLMs to reason over the entire propagation information on social media, which contains news contents and…

信息检索 · 计算机科学 2024-02-09 Qiang Liu , Xiang Tao , Junfei Wu , Shu Wu , Liang Wang

Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as a potentially viable source of information to understand…

信息检索 · 计算机科学 2016-06-29 Fattane Zarrinkalam , Ebrahim Bagheri

Reputed by their low-cost, easy-access, real-time and valuable information, social media also wildly spread unverified or fake news. Rumors can notably cause severe damage on individuals and the society. Therefore, rumor detection on social…

计算与语言 · 计算机科学 2021-11-01 Abderrazek Azri , Cécile Favre , Nouria Harbi , Jérôme Darmont , Camille Noûs

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

Social media is becoming an increasingly important data source for learning about breaking news and for following the latest developments of ongoing news. This is in part possible thanks to the existence of mobile devices, which allows…

计算与语言 · 计算机科学 2019-09-12 Arkaitz Zubiaga

With the advent of social media, an increasing number of netizens are sharing and reading posts and news online. However, the huge volumes of misinformation (e.g., fake news and rumors) that flood the internet can adversely affect people's…

计算与语言 · 计算机科学 2024-02-15 Zhiwei Liu , Tianlin Zhang , Kailai Yang , Paul Thompson , Zeping Yu , Sophia Ananiadou

The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news, and mitigation of its widespread impact on public opinion. While much of the earlier research…

机器学习 · 计算机科学 2019-01-23 Karishma Sharma , Feng Qian , He Jiang , Natali Ruchansky , Ming Zhang , Yan Liu

This study presents a review of research on social media bot detection. Social media bots are used by political and criminal actors for mass distribution of political messages, as well as rumors, conspiracy theories, and other forms of…

社会与信息网络 · 计算机科学 2025-04-01 Blaž Rodič

The propagation of rumours on social media poses an important threat to societies, so that various techniques for rumour detection have been proposed recently. Yet, existing work focuses on \emph{what} entities constitute a rumour, but…

社会与信息网络 · 计算机科学 2022-07-19 Thanh Tam Nguyen , Thanh Cong Phan , Minh Hieu Nguyen , Matthias Weidlich , Hongzhi Yin , Jun Jo , Quoc Viet Hung Nguyen

Social media, such as Facebook and Twitter, has become one of the most important channels for information dissemination. However, these social media platforms are often misused to spread rumors, which has brought about severe social…

社会与信息网络 · 计算机科学 2020-08-28 Shuai Wang , Qingchao Kong , Yuqi Wang , Lei Wang

Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed novel techniques that aim to detect fake news by exploring how…

计算与语言 · 计算机科学 2020-09-18 Xinyi Zhou , Atishay Jain , Vir V. Phoha , Reza Zafarani

Over the past couple of years, the topic of "fake news" and its influence over people's opinions has become a growing cause for concern. Although the spread of disinformation on the Internet is not a new phenomenon, the widespread use of…

计算与语言 · 计算机科学 2019-10-29 Jillian Tompkins

Rumor detection has become an emerging and active research field in recent years. At the core is to model the rumor characteristics inherent in rich information, such as propagation patterns in social network and semantic patterns in post…

社会与信息网络 · 计算机科学 2022-04-20 Yuan Gao , Xiang Wang , Xiangnan He , Huamin Feng , Yongdong Zhang