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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…

Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous,…

社会与信息网络 · 计算机科学 2013-08-14 Kristina Lerman , Rumi Ghosh , Tawan Surachawala

The global spread of the novel coronavirus is affected by the spread of related misinformation -- the so-called COVID-19 Infodemic -- that makes populations more vulnerable to the disease through resistance to mitigation efforts. Here we…

社会与信息网络 · 计算机科学 2021-04-06 Kai-Cheng Yang , Francesco Pierri , Pik-Mai Hui , David Axelrod , Christopher Torres-Lugo , John Bryden , Filippo Menczer

Diffusion of information and viral content, social contagion and influence are still topics of broad evaluation. As theory explaining the role of influentials moves slightly to reduce their importance in the propagation of viral content,…

社会与信息网络 · 计算机科学 2014-12-01 Anita Zbieg , Blazej Zak , Jaroslaw Jankowski , Radoslaw Michalski , Sylwia Ciuberek

Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous,…

计算机与社会 · 计算机科学 2010-03-16 Kristina Lerman , Rumi Ghosh

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

Misleading newsletters can shape individuals' perceptions, and pose a threat to societies; as we witnessed by lowering the severity of follow-up stay-at-home orders and burdening a significant challenge to the fight against COVID-19. In…

物理与社会 · 物理学 2024-12-23 Lucila G. Alvarez-Zuzek , Lucio La Cava , Jelena Grujic , Riccardo Gallotti

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

An information outbreak occurs on social media along with the COVID-19 pandemic and leads to infodemic. Predicting the popularity of online content, known as cascade prediction, allows for not only catching in advance hot information that…

社会与信息网络 · 计算机科学 2021-08-13 Ninghan Chen , Xihui Chen , Zhiqiang Zhong , Jun Pang

We introduce a model for predicting the diffusion of content information on social media. When propagation is usually modeled on discrete graph structures, we introduce here a continuous diffusion model, where nodes in a diffusion cascade…

机器学习 · 计算机科学 2014-02-04 Cédric Lagnier , Simon Bourigault , Sylvain Lamprier , Ludovic Denoyer , Patrick Gallinari

The deluge of digital information in our daily life -- from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising -- offers unprecedented opportunities to explore and…

社会与信息网络 · 计算机科学 2021-03-25 Fan Zhou , Xovee Xu , Goce Trajcevski , Kunpeng Zhang

COVID-19 pandemic has generated what public health officials called an infodemic of misinformation. As social distancing and stay-at-home orders came into effect, many turned to social media for socializing. This increase in social media…

Amidst COVID-19 misinformation spreading, social media platforms like Facebook and Twitter rolled out design interventions, including banners linking to authoritative resources and more specific "false information" labels. In late March…

计算机与社会 · 计算机科学 2020-12-22 Christine Geeng , Tiona Francisco , Jevin West , Franziska Roesner

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 spread of information has become faster and wider than ever with the advent of social network platforms. The question raised in this study is whether information dissemination in social networks is random or follows a discernible…

社会与信息网络 · 计算机科学 2026-03-30 Rozhin Mohammadikian , Parsa Bigdeli , Behrouz Askari , G. Reza Jafari

Since December 2019, COVID-19 has been spreading rapidly across the world. Not surprisingly, conversation about COVID-19 is also increasing. This article is a first look at the amount of conversation taking place on social media,…

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

The Web consists of numerous Web communities, news sources, and services, which are often exploited by various entities for the dissemination of false information. Yet, we lack tools and techniques to effectively track the propagation of…

社会与信息网络 · 计算机科学 2019-11-26 Savvas Zannettou

Social media has fundamentally transformed how people access information and form social connections, with content expression playing a critical role in driving information diffusion. While prior research has focused largely on network…

社会与信息网络 · 计算机科学 2026-03-13 Ziqing Qian , Jiaying Lei , Shengqi Dang , Nan Cao

How can the birth and evolution of ideas and communities in a network be studied over time? We use a multimodal pipeline, consisting of network mapping, topic modeling, bridging centrality, and divergence to analyze Twitter data surrounding…

社会与信息网络 · 计算机科学 2020-07-08 Liz McQuillan , Erin McAweeney , Alicia Bargar , Alex Ruch
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