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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)…

Computation and Language · Computer Science 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…

Information Theory · Computer Science 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 and Information Networks · Computer Science 2021-06-15 Mir Mehedi A. Pritom , Rosana Montanez Rodriguez , Asad Ali Khan , Sebastian A. Nugroho , Esra'a Alrashydah , Beatrice N. Ruiz , Anthony Rios

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…

Social and Information Networks · Computer Science 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…

Computation and Language · Computer Science 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…

Computers and Society · Computer Science 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…

Social and Information Networks · Computer Science 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…

Computers and Society · Computer Science 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…

Human-Computer Interaction · Computer Science 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…

Information Retrieval · Computer Science 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…

Physics and Society · Physics 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…

Social and Information Networks · Computer Science 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…

Social and Information Networks · Computer Science 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…

Machine Learning · Computer Science 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…

Applications · Statistics 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…

Social and Information Networks · Computer Science 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…

Social and Information Networks · Computer Science 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…

Social and Information Networks · Computer Science 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…

Human-Computer Interaction · Computer Science 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…

Social and Information Networks · Computer Science 2021-09-14 Guido Caldarelli , Rocco de Nicola , Marinella Petrocchi , Manuel Pratelli , Fabio Saracco