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This thesis addresses two paradoxes: (1) why empirical studies find that fake news represent only a small share of the information consulted and shared on social media despite the absence of editorial control or journalistic norms, and (2)…

计算与语言 · 计算机科学 2025-11-25 Manon Berriche

We consider a network of $n$ user nodes that receives updates from a source and employs an age-based gossip protocol for faster dissemination of version updates to all nodes. When a node forwards its packet to another node, the packet…

信息论 · 计算机科学 2023-05-09 Priyanka Kaswan , Sennur Ulukus

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…

Social media for news consumption is becoming increasingly popular due to its easy access, fast dissemination, and low cost. However, social media also enable the wide propagation of "fake news", i.e., news with intentionally false…

社会与信息网络 · 计算机科学 2018-04-30 Kai Shu , H. Russell Bernard , Huan Liu

This study examines how fake news affects social media users across a range of age groups and how machine learning (ML) and artificial intelligence (AI) can help reduce the spread of false information. The paper evaluates various machine…

计算与语言 · 计算机科学 2024-11-11 Kahlil bin Abdul Hakim , Sathishkumar Veerappampalayam Easwaramoorthy

The technological revolution of the Internet has digitized the social, economic, political, and cultural activities of billions of humans. While researchers have been paying due attention to concerns of misinformation and bias, these…

计算机与社会 · 计算机科学 2025-10-14 Saurabh Khanna

Cumulative effect in social contagions underlies many studies on the spread of innovation, behaviors, and influence. However, few large-scale empirical studies are conducted to validate the existence of cumulative effect in the information…

社会与信息网络 · 计算机科学 2014-03-05 Peng Bao , Hua-Wei Shen , Wei Chen , Xue-Qi Cheng

"Fake news" is an old problem. In recent years, however, increasing usage of social media as a source of information, the spread of unverified medical advice during the Covid-19 pandemic, and the rise of generative artificial intelligence…

计算机与社会 · 计算机科学 2025-05-22 Simon Chesterman

Users rely on search engines for information in critical contexts, such as public health emergencies. Understanding how users evaluate the trustworthiness of search results is therefore essential. Research has identified rank and the…

人机交互 · 计算机科学 2023-09-21 Sterling Williams-Ceci , Michael Macy , Mor Naaman

Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but usually neglect online users who are the main drivers of the…

信息检索 · 计算机科学 2020-10-08 Nguyen Vo , Kyumin Lee

The impact that information diffusion has on epidemic spreading has recently attracted much attention. As a disease begins to spread in the population, information about the disease is transmitted to others, which in turn has an effect on…

物理与社会 · 物理学 2015-06-15 Xiu-Xiu Zhan , Chuang Liu , Ge Zhou , Zi-Ke Zhang , Gui-Quan Sun , Jonathan J. H. Zhu

Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who are more likely to adopt ideas and spread them is essential in order to develop effective…

社会与信息网络 · 计算机科学 2024-10-31 Vedran Sekara , Ivan Dotu , Manuel Cebrian , Esteban Moro , Manuel Garcia-Herranz

Modern social networks rely on recommender systems that inadvertently amplify misinformation by prioritizing engagement over content veracity. We present a control framework that mitigates misinformation spread while maintaining user…

社会与信息网络 · 计算机科学 2025-11-18 Nicolo' Pagan , Andreas Philippou , Giulia De Pasquale

Modern social media platforms play an important role in facilitating rapid dissemination of information through their massive user networks. Fake news, misinformation, and unverifiable facts on social media platforms propagate disharmony…

机器学习 · 计算机科学 2023-10-24 Mor Oren-Loberman , Vered Azar , Wasim Huleihel

Social networks affect the diffusion of information, and thus have the potential to reduce or amplify inequality in access to opportunity. We show empirically that social networks often exhibit a much larger potential for unequal diffusion…

应用统计 · 统计学 2022-10-21 Eaman Jahani , Dean Eckles , Alex 'Sandy' Pentland

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

Social media is interactive, and interaction brings misinformation. With the growing amount of user-generated data, fake news on online platforms has become much frequent since the arrival of social networks. Now and then, an event occurs…

社会与信息网络 · 计算机科学 2021-11-24 Chahat Raj , Priyanka Meel

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

Online disinformation often provokes strong anger, driving social media users to spread it; however, few measures specifically target sharing behaviors driven by this emotion to curb the spread of disinformation. This study aimed to…

人机交互 · 计算机科学 2025-10-16 Haruka Nakajima Suzuki , Midori Inaba

The COVID-19 pandemic has impacted on every human activity and, because of the urgency of finding the proper responses to such an unprecedented emergency, it generated a diffused societal debate. The online version of this discussion was…

社会与信息网络 · 计算机科学 2021-09-14 Guido Caldarelli , Rocco de Nicola , Marinella Petrocchi , Manuel Pratelli , Fabio Saracco