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Social media is a popular platform for timely information sharing. One of the important challenges for social media platforms like Twitter is whether to trust news shared on them when there is no systematic news verification process. On the…

Machine Learning · Computer Science 2020-04-28 Chandra Mouli Madhav Kotteti , Xishuang Dong , Lijun Qian

Kyle (1985) proposes two types of rumors: informed rumors which are based on some private information and uninformed rumors which are not based on any information (i.e. bluffing). Also, prior studies find that when people have credible…

Computation and Language · Computer Science 2023-12-07 Alex Kim , Sangwon Yoon

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

In recent years people have become increasingly reliant on social media to read news and get information, and some social media users post unsubstantiated information to gain attention. Such information is known as rumours. Nowadays, rumour…

Computation and Language · Computer Science 2023-04-05 Yaohou Fan

With the growing popularity and ease of access to the internet, the problem of online rumors is escalating. People are relying on social media to gain information readily but fall prey to false information. There is a lack of credibility…

Social and Information Networks · Computer Science 2021-11-24 Chahat Raj , Priyanka Meel

The spread of rumors along with breaking events seriously hinders the truth in the era of social media. Previous studies reveal that due to the lack of annotated resources, rumors presented in minority languages are hard to be detected.…

Computation and Language · Computer Science 2023-05-29 Hongzhan Lin , Pengyao Yi , Jing Ma , Haiyun Jiang , Ziyang Luo , Shuming Shi , Ruifang Liu

The spread of content on social media is shaped by intertwining factors on three levels: the source, the content itself, and the pathways of content spread. At the lowest level, the popularity of the sharing user determines its eventual…

Machine Learning · Computer Science 2024-08-22 Pio Calderon , Marian-Andrei Rizoiu

The plague of false information, popularly called fake news has affected lives of news consumers ever since the prevalence of social media. Thus understanding the spread of false information in social networks has gained a lot of attention…

Social and Information Networks · Computer Science 2021-02-05 Bhavtosh Rath , Wei Gao , Jaideep Srivastava

An important aspect of preventing fake news dissemination is to proactively detect the likelihood of its spreading. Research in the domain of fake news spreader detection has not been explored much from a network analysis perspective. In…

Social and Information Networks · Computer Science 2020-11-24 Bhavtosh Rath , Aadesh Salecha , Jaideep Srivastava

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

$\textit{Fake followers}$ are those Twitter accounts specifically created to inflate the number of followers of a target account. Fake followers are dangerous for the social platform and beyond, since they may alter concepts like popularity…

Social and Information Networks · Computer Science 2020-06-29 Stefano Cresci , Roberto Di Pietro , Marinella Petrocchi , Angelo Spognardi , Maurizio Tesconi

Users of social networks tend to post and share content with little restraint. Hence, rumors and fake news can quickly spread on a huge scale. This may pose a threat to the credibility of social media and can cause serious consequences in…

Social and Information Networks · Computer Science 2021-09-07 Abderrazek Azri , Cécile Favre , Nouria Harbi , Jérôme Darmont , Camille Noûs

The contagion dynamics can emerge in social networks when repeated activation is allowed. An interesting example of this phenomenon is retweet cascades where users allow to re-share content posted by other people with public accounts. To…

Social and Information Networks · Computer Science 2020-11-03 Zbigniew Palmowski , Daria Puchalska

Online Social Media (OSM) platforms such as Twitter, Facebook are extensively exploited by the users of these platforms for spreading the (mis)information to a large audience effortlessly at a rapid pace. It has been observed that the…

Artificial Intelligence · Computer Science 2021-07-07 Shakshi Sharma , Rajesh Sharma

We propose multi-agent reinforcement learning as a new method for modeling fake news in social networks. This method allows us to model human behavior in social networks both in unaccustomed populations and in populations that have adapted…

Artificial Intelligence · Computer Science 2025-10-14 Christoph Aymanns , Jakob Foerster , Co-Pierre Georg , Matthias Weber

Automatically verifying rumorous information has become an important and challenging task in natural language processing and social media analytics. Previous studies reveal that people's stances towards rumorous messages can provide…

Computation and Language · Computer Science 2019-09-19 Penghui Wei , Nan Xu , Wenji Mao

The proliferation of fake news poses a serious threat to society, as it can misinform and manipulate the public, erode trust in institutions, and undermine democratic processes. To address this issue, we present FakeSwarm, a fake news…

Social and Information Networks · Computer Science 2023-11-01 Jun Wu , Xuesong Ye

Rumor spreading on online social media is presenting a significant threat to society of post-truth epoch. Extensive efforts have been devoted to rumor identification and debunking, assuming that a specific rumor propagation is a single…

Physics and Society · Physics 2018-04-17 Daqing Li , Jiali Gao , Jichang Zhao , Zilong Zhao , Levy Orr , Shlomo Havlin

The spread of fake news on online social networks (OSNs) has become a matter of concern. These platforms are also used for propagating important authentic information. Thus, there is a need for mitigating fake news without significantly…

Social and Information Networks · Computer Science 2022-07-18 Suyog Kapsikar , Indrajit Saha , Khushboo Agarwal , Veeraruna Kavitha , Quanyan Zhu

Today's social media platforms enable to spread both authentic and fake news very quickly. Some approaches have been proposed to automatically detect such "fake" news based on their content, but it is difficult to agree on universal…

Social and Information Networks · Computer Science 2018-08-30 Oana Balmau , Rachid Guerraoui , Anne-Marie Kermarrec , Alexandre Maurer , Matej Pavlovic , Willy Zwaenepoel