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The proliferation of online misinformation has emerged as one of the biggest threats to society. Considerable efforts have focused on building misinformation detection models, still the perils of misinformation remain abound. Mitigating…

计算与语言 · 计算机科学 2024-01-19 Mohit Chandra , Anush Mattapalli , Munmun De Choudhury

Misinformation entails the dissemination of falsehoods that leads to the slow fracturing of society via decreased trust in democratic processes, institutions, and science. The public has grown aware of the role of social media as a…

The emergence of the COVID-19 pandemic resulted in a significant rise in the spread of misinformation on online platforms such as Twitter. Oftentimes this growth is blamed on the idea of the "echo chamber." However, the behavior said to…

社会与信息网络 · 计算机科学 2024-12-13 Caleb Stam , Emily Saldanha , Mahantesh Halappanavar , Anurag Acharya

The COVID-19 pandemic led to an infodemic where an overwhelming amount of COVID-19 related content was being disseminated at high velocity through social media. This made it challenging for citizens to differentiate between accurate and…

计算与语言 · 计算机科学 2023-05-09 Yida Mu , Ye Jiang , Freddy Heppell , Iknoor Singh , Carolina Scarton , Kalina Bontcheva , Xingyi Song

The ongoing Coronavirus (COVID-19) pandemic highlights the inter-connectedness of our present-day globalized world. With social distancing policies in place, virtual communication has become an important source of (mis)information. As…

社会与信息网络 · 计算机科学 2020-10-23 Karishma Sharma , Sungyong Seo , Chuizheng Meng , Sirisha Rambhatla , Yan Liu

Though significant efforts such as removing false claims and promoting reliable sources have been increased to combat COVID-19 "misinfodemic", it remains an unsolved societal challenge if lacking a proper understanding of susceptible online…

社会与信息网络 · 计算机科学 2021-09-21 Xian Teng , Yu-Ru Lin , Wen-Ting Chung , Ang Li , Adriana Kovashka

Since 2016, the amount of academic research with the keyword "misinformation" has more than doubled [2]. This research often focuses on article headlines shown in artificial testing environments, yet misinformation largely spreads through…

人机交互 · 计算机科学 2020-12-16 Emily Saltz , Claire Leibowicz , Claire Wardle

With the onset of the COVID-19 pandemic, news outlets and social media have become central tools for disseminating and consuming information. Because of their ease of access, users seek COVID-19-related information from online social media…

社会与信息网络 · 计算机科学 2022-08-15 Nayoung Kim , Ahmadreza Mosallanezhad , Lu Cheng , Baoxin Li , Huan Li

News feeds in virtually all social media platforms include engagement metrics, such as the number of times each post is liked and shared. We find that exposure to these social engagement signals increases the vulnerability of users to…

计算机与社会 · 计算机科学 2020-07-31 Mihai Avram , Nicholas Micallef , Sameer Patil , Filippo Menczer

The sudden outbreak of COVID-19 resulted in large volumes of data shared on different social media platforms. Analyzing and visualizing these data is doubtlessly essential to having a deep understanding of the pandemic's impacts on people's…

社会与信息网络 · 计算机科学 2021-06-28 Omar Abdel Wahab , Ali Mustafa , André Bertrand Abisseck Bamatakina

Detecting misinformation threads is crucial to guarantee a healthy environment on social media. We address the problem using the data set created during the COVID-19 pandemic. It contains cascades of tweets discussing information weakly…

计算与语言 · 计算机科学 2023-04-07 Tommaso Fornaciari , Luca Luceri , Emilio Ferrara , Dirk Hovy

The model of the attention economy, where content producers compete for the attention of users, relies on two key forces: information supply and demand. This study leverages the feedback loop between these forces to develop a method for…

计算机与社会 · 计算机科学 2026-02-18 Irene Scalco , Francesco Gesualdo , Roy Cerqueti , Matteo Cinelli

During the COVID-19 pandemic, social media has become a home ground for misinformation. To tackle this infodemic, scientific oversight, as well as a better understanding by practitioners in crisis management, is needed. We have conducted an…

社会与信息网络 · 计算机科学 2020-08-26 Gautam Kishore Shahi , Anne Dirkson , Tim A. Majchrzak

Online engagement with misinformation threatens societal well-being, particularly during health crises when susceptibility to misinformation is heightened in a multi-topic context. Here, we focus on the COVID-19 pandemic and address a…

社会与信息网络 · 计算机科学 2025-07-31 Yuwei Chuai , Jichang Zhao , Gabriele Lenzini

Understanding how different online communities engage with COVID-19 misinformation is critical for public health response, as misinformation confined to a small, isolated community of users poses a different public health risk than…

社会与信息网络 · 计算机科学 2021-12-03 Matthew T. Osborne , Samuel S. Malloy , Erik C. Nisbet , Robert M. Bond , Joseph H. Tien

Today, social media provide the means by which billions of people experience news and events happening around the world. However, the absence of traditional journalistic gatekeeping allows information to flow unencumbered through these…

社会与信息网络 · 计算机科学 2017-01-02 Tanushree Mitra , Graham Wright , Eric Gilbert

The exposure and consumption of information during epidemic outbreaks may alter risk perception, trigger behavioural changes, and ultimately affect the evolution of the disease. It is thus of the uttermost importance to map information…

社会与信息网络 · 计算机科学 2020-06-12 Nicolò Gozzi , Michele Tizzani , Michele Starnini , Fabio Ciulla , Daniela Paolotti , André Panisson , Nicola Perra

The COVID-19 pandemic has witnessed the role of online social networks (OSNs) in the spread of infectious diseases. The rise in severity of the epidemic augments the need for proper guidelines, but also promotes the propagation of fake…

动力系统 · 数学 2024-06-11 Madhu Dhiman , Chen Peng , Veeraruna Kavitha , Quanyan Zhu

During the COVID-19 pandemic, scientific knowledge evolved rapidly, accompanied by a surge of misinformation, labelled an infodemic by the WHO. In this context, we study the interaction between science and misinformation on Twitter (now X)…

We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID-19 topic and provide a differential assessment on the…

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