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Related papers: Anatomy of an online misinformation network

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Massive amounts of misinformation have been observed to spread in uncontrolled fashion across social media. Examples include rumors, hoaxes, fake news, and conspiracy theories. At the same time, several journalistic organizations devote…

Social and Information Networks · Computer Science 2016-03-07 Chengcheng Shao , Giovanni Luca Ciampaglia , Alessandro Flammini , Filippo Menczer

Misinformation under the form of rumor, hoaxes, and conspiracy theories spreads on social media at alarming rates. One hypothesis is that, since social media are shaped by homophily, belief in misinformation may be more likely to thrive on…

Social and Information Networks · Computer Science 2018-09-26 Marcella Tambuscio , Diego F. M. Oliveira , Giovanni Luca Ciampaglia , Giancarlo Ruffo

In recent years, malicious information had an explosive growth in social media, with serious social and political backlashes. Recent important studies, featuring large-scale analyses, have produced deeper knowledge about this phenomenon,…

Social and Information Networks · Computer Science 2020-01-29 Francesco Pierri , Carlo Piccardi , Stefano Ceri

Over the past couple of years, the topic of "fake news" and its influence over people's opinions has become a growing cause for concern. Although the spread of disinformation on the Internet is not a new phenomenon, the widespread use of…

Computation and Language · Computer Science 2019-10-29 Jillian Tompkins

The massive spread of digital misinformation has been identified as a major global risk and has been alleged to influence elections and threaten democracies. Communication, cognitive, social, and computer scientists are engaged in efforts…

Social and Information Networks · Computer Science 2026-05-19 Chengcheng Shao , Giovanni Luca Ciampaglia , Onur Varol , Kaicheng Yang , Alessandro Flammini , Filippo Menczer

Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the problem, detect fake news in real time, and mitigate its…

The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains to be clarified. Here, we use a dataset of 171 million tweets in the five months preceding the election day to identify 30 million tweets,…

Social and Information Networks · Computer Science 2019-03-21 Alexandre Bovet , Hernan A. Makse

To curb the spread of fake news on social media platforms, recent studies have considered an online crowdsourcing fact-checking approach as one possible intervention method to reduce misinformation. However, it remains unclear under what…

Physics and Society · Physics 2022-06-10 Matthew I Jones , Scott D. Pauls , Feng Fu

As people rely on social media as their primary sources of news, the spread of misinformation has become a significant concern. In this large-scale study of news in social media we analyze eleven million posts and investigate propagation…

Social and Information Networks · Computer Science 2018-12-11 Maria Glenski , Tim Weninger , Svitlana Volkova

With the increasing use of online social networks as a source of news and information, the propensity for a rumor to disseminate widely and quickly poses a great concern, especially in disaster situations where users do not have enough time…

Social and Information Networks · Computer Science 2020-02-27 Abiola Osho , Caden Waters , George Amariucai

Fact-checking has been promoted as a key method for combating political misinformation. Comparing the spread of election-related misinformation narratives along with their relevant political fact-checks, this study provides the most…

Social and Information Networks · Computer Science 2024-12-19 Morgan Wack , Kayla Duskin , Damian Hodel

Identifying and characterizing disinformation in political discourse on social media is critical to ensure the integrity of elections and democratic processes around the world. Persistent manipulation of social media has resulted in…

Social and Information Networks · Computer Science 2021-10-22 Karishma Sharma , Emilio Ferrara , Yan Liu

Fake news has emerged as a pervasive problem within Online Social Networks, leading to a surge of research interest in this area. Understanding the dissemination mechanisms of fake news is crucial in comprehending the propagation of…

Social and Information Networks · Computer Science 2023-08-29 Yichen Jiang , Michael D. Porter

Recent work in the domain of misinformation detection has leveraged rich signals in the text and user identities associated with content on social media. But text can be strategically manipulated and accounts reopened under different…

Social and Information Networks · Computer Science 2020-02-07 Nir Rosenfeld , Aron Szanto , David C. Parkes

While Twitter provides an unprecedented opportunity to learn about breaking news and current events as they happen, it often produces skepticism among users as not all the information is accurate but also hoaxes are sometimes spread. While…

Social and Information Networks · Computer Science 2013-12-31 Arkaitz Zubiaga , Heng Ji

In recent years, the reliability of information on the Internet has emerged as a crucial issue of modern society. Social network sites (SNSs) have revolutionized the way in which information is spread by allowing users to freely share…

Machine Learning · Computer Science 2017-10-23 Eugenio Tacchini , Gabriele Ballarin , Marco L. Della Vedova , Stefano Moret , Luca de Alfaro

Much of the research quantifying volume and spread of online misinformation measures the construct at the source level, identifying a set of specific unreliable domains that account for a relatively small share of news consumption. This…

Social and Information Networks · Computer Science 2025-06-11 Pranav Goel , Jon Green , David Lazer , Philip Resnik

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

Social and Information Networks · Computer Science 2019-02-20 Rakshit Agrawal , Luca de Alfaro , Gabriele Ballarin , Stefano Moret , Massimo Di Pierro , Eugenio Tacchini , Marco L. Della Vedova

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…

Social and Information Networks · Computer Science 2021-09-27 Marius Paraschiv , Nikos Salamanos , Costas Iordanou , Nikolaos Laoutaris , Michael Sirivianos

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
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