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相关论文: CovidMis20: COVID-19 Misinformation Detection Syst…

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With the rapid increase in access to internet and the subsequent growth in the population of online social media users, the quality of information posted, disseminated and consumed via these platforms is an issue of growing concern. A large…

社会与信息网络 · 计算机科学 2020-10-20 Amrita Bhattacharjee , Kai Shu , Min Gao , Huan Liu

Spreading of misleading information on social web platforms has fuelled huge panic and confusion among the public regarding the Corona disease, the detection of which is of paramount importance. To address this issue, in this paper, we have…

信息检索 · 计算机科学 2021-09-28 Deepika Varshney , Dinesh Kumar Vishwakarma

As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unverified rumours. While many sophisticated and successful…

计算与语言 · 计算机科学 2021-04-15 Kellin Pelrine , Jacob Danovitch , Reihaneh Rabbany

Social media platforms such as Twitter have become a breeding ground for unverified information or rumors. These rumors can threaten people's health, endanger the economy, and affect the stability of a country. Many researchers have…

计算与语言 · 计算机科学 2020-12-15 Yudianto Sujana , Jiawen Li , Hung-Yu Kao

Prior work has extensively studied misinformation related to news, politics, and health, however, misinformation can also be about technological topics. While less controversial, such misinformation can severely impact companies'…

计算机与社会 · 计算机科学 2023-06-19 Mohit Singhal , Nihal Kumarswamy , Shreyasi Kinhekar , Shirin Nilizadeh

Online platforms play a relevant role in the creation and diffusion of false or misleading news. Concerningly, the COVID-19 pandemic is shaping a communication network - barely considered in the literature - which reflects the emergence of…

社会与信息网络 · 计算机科学 2024-05-28 Piergiorgio Castioni , Giulia Andrighetto , Riccardo Gallotti , Eugenia Polizzi , Manlio De Domenico

We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable intelligence on misinformation prevalent in social media. Specifically, it uses language processing and machine learning tools to identify subtopics of…

计算与语言 · 计算机科学 2023-09-06 Shakshi Sharma , Anwitaman Datta , Vigneshwaran Shankaran , Rajesh Sharma

Malicious accounts spreading misinformation has led to widespread false and misleading narratives in recent times, especially during the COVID-19 pandemic, and social media platforms struggle to eliminate these contents rapidly. This is…

社会与信息网络 · 计算机科学 2022-02-28 Karishma Sharma , Emilio Ferrara , Yan Liu

False claims about COVID-19 vaccines can undermine public trust in ongoing vaccination campaigns, thus posing a threat to global public health. Misinformation originating from various sources has been spreading online since the beginning of…

社会与信息网络 · 计算机科学 2021-05-18 Goran Muric , Yusong Wu , Emilio Ferrara

Since the classification of COVID-19 as a global pandemic, there have been many attempts to treat and contain the virus. Although there is no specific antiviral treatment recommended for COVID-19, there are several drugs that can…

信息检索 · 计算机科学 2020-10-12 Ramya Tekumalla , Juan M. Banda

News in social media such as Twitter has been generated in high volume and speed. However, very few of them can be labeled (as fake or true news) in a short time. In order to achieve timely detection of fake news in social media, a novel…

计算与语言 · 计算机科学 2019-06-14 Xishuang Dong , Uboho Victor , Shanta Chowdhury , Lijun Qian

Withtheadventofsocialmedia,therehasbeenanextremely rapid increase in the content shared online. Consequently, the propagation of fake news and hostile messages on social media platforms has also skyrocketed. In this paper, we address the…

计算与语言 · 计算机科学 2021-01-18 Ayush Gupta , Rohan Sukumaran , Kevin John , Sundeep Teki

Misinformation has emerged as a major societal threat in recent years in general; specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by fuelling vaccine hesitancy. Cost-effective, scalable solutions…

人工智能 · 计算机科学 2024-07-29 Shakshi Sharma , Anwitaman Datta , Rajesh Sharma

Vaccinations play a critical role in mitigating the impact of COVID-19 and other diseases. This study explores COVID-19 vaccine misinformation circulating on Twitter during 2021, when vaccines were being released to the public in an effort…

社会与信息网络 · 计算机科学 2023-02-27 Francesco Pierri , Matthew R. DeVerna , Kai-Cheng Yang , David Axelrod , John Bryden , Filippo Menczer

Social scientists and psychologists take interest in understanding how people express emotions and sentiments when dealing with catastrophic events such as natural disasters, political unrest, and terrorism. The COVID-19 pandemic is a…

计算与语言 · 计算机科学 2021-09-15 Rohitash Chandra , Aswin Krishna

In this paper, we present a manually annotated corpus of 10,000 tweets containing public reports of five COVID-19 events, including positive and negative tests, deaths, denied access to testing, claimed cures and preventions. We designed…

计算与语言 · 计算机科学 2022-09-12 Shi Zong , Ashutosh Baheti , Wei Xu , Alan Ritter

The spread of fake news has long been a social issue and the necessity of identifying it has become evident since its dangers are well recognized. In addition to causing uneasiness among the public, it has even more devastating…

社会与信息网络 · 计算机科学 2022-08-24 Yuxuan Tian

As recent events have demonstrated, disinformation spread through social networks can have dire political, economic and social consequences. Detecting disinformation must inevitably rely on the structure of the network, on users…

社会与信息网络 · 计算机科学 2021-09-27 Marius Paraschiv , Nikos Salamanos , Costas Iordanou , Nikolaos Laoutaris , Michael Sirivianos

The pervasive influence of misinformation has far-reaching and detrimental effects on both individuals and society. The COVID-19 pandemic has witnessed an alarming surge in the dissemination of medical misinformation. However, existing…

社会与信息网络 · 计算机科学 2023-06-16 Yanshen Sun , Jianfeng He , Shuo Lei , Limeng Cui , Chang-Tien Lu

It is very critical to analyze messages shared over social networks for cyber threat intelligence and cyber-crime prevention. In this study, we propose a method that leverages both domain-specific word embeddings and task-specific features…

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