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Homogeneity-Based Transmissive Process to Model True and False News in Social Networks

Jooyeon Kim, Dongkwan Kim, Alice Oh
2019 Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining - WSDM '19  
An overwhelming number of true and false news stories are posted and shared in social networks, and users diffuse the stories based on multiple factors.  ...  Our model extends hierarchical Dirichlet process to model the topics of the news stories and incorporates Bayesian Gaussian process latent variable model to discover the homogeneity values.  ...  There are feature-based methods that leverage text, social network, temporal traces and propagation models to classify true and false news in supervised fashion [39, 50, 20, 29, 72, 70, 31, 32] .  ... 
doi:10.1145/3289600.3291009 dblp:conf/wsdm/KimKO19 fatcat:4hp6bcgfb5f27oo6mnprqsw4ci

Combating fake news by empowering fact-checked news spread via topology-based interventions [article]

Ke Wang, Waheeb Yaqub, Abdallah Lakhdari, Basem Suleiman
2021 arXiv   pre-print
The obtained results demonstrate that empowering the diffusion of fact-checked news combats the spread of false news further and deeper in social networks.  ...  Our methodology mainly relies on defining the potential super-spreaders in a social network based on their centrality metrics.  ...  The contribution of this paper is a novel centrality-based information diffusion model for true news to combat conflicting false news in large social networks.  ... 
arXiv:2107.05016v1 fatcat:ebv3mgoc4zcdxgxyxjk6wy7hau

Bayesian Model Selection with Network Based Diffusion Analysis

Andrew Whalen, William J. E. Hoppitt
2016 Frontiers in Psychology  
A number of recent studies have used Network Based Diffusion Analysis (NBDA) to detect the role of social transmission in the spread of a novel behavior through a population.  ...  , including under the presence of random effects, individual level variables, and alternative models of social transmission.  ...  ACKNOWLEDGMENTS We would like to thank Kevin Laland for preliminary comments on this manuscript.  ... 
doi:10.3389/fpsyg.2016.00409 pmid:27092089 pmcid:PMC4820461 fatcat:cvgpleh2brbyhh35b2gndlxpfa

Cultural diffusion dynamics depend on behavioural production rules [article]

Michael Chimento, Brendan J. Barrett, Anne Kandler, Lucy M. Aplin
2021 bioRxiv   pre-print
Transmission and production are often discussed interchangeably or modeled separately, yet to date, no study has accounted for both processes and explored their interaction.  ...  We then investigate how such dependencies might affect the performance of two commonly used inferential models for social learning; Network-based Diffusion Analysis (NBDA), and Experienced Weighted Attraction  ...  To accomplish this, we construct a generative agent-based model of cultural diffusion that synthesizes both processes in networked populations.  ... 
doi:10.1101/2021.12.22.473828 fatcat:frweenpuyrgzrjfff6sq3ftpkm

A Game Theoretical Approach to Modeling Information Dissemination in Social Networks

Dmitry Zinoviev and Vy Duong and Honggang Zhang
2010 arXiv   pre-print
To understand such human aspects of the information dissemination, we propose a game theoretical model of the information forwarding and feedback mechanisms in a social network that take into account the  ...  One major function of social networks (e.g., massive online social networks) is the dissemination of information such as scientific knowledge, news, and rumors.  ...  Acknowledgment This research has been supported in part by the College of Arts and Sciences, Suffolk University, through an undergraduate research assistantship grant.  ... 
arXiv:1006.5493v1 fatcat:hfg25shw5ndddbtjd5mjar3yfi

A Game Theoretical Approach to Modeling Full-Duplex Information Dissemination

Dmitry Zinoviev, Vy Duong
2010 arXiv   pre-print
One major function of social networks (e.g., massive online social networks) is the dissemination of information such as scientific knowledge, news, and rumors.  ...  To understand such human aspects of the information dissemination, we propose a game theoretical model of the two-way full duplex information forwarding and feedback mechanisms in a social network that  ...  Acknowledgment The authors are grateful to Honggang Zhang and Ali Yakamercan for their help with model building and writing simulation code.  ... 
arXiv:1008.2181v1 fatcat:uglwmnkqf5hdtcdk3nsbdy4zru

Mathematical models of information concealment cases spreading dynamics in social media

Yulia Nakonechna
2019 Theoretical and Applied Cybersecurity  
The use of analytical approach and mathematical modeling enables to prevent, detect and counteract the concealment of information in cyberspace in the subject area of cybernetic security.  ...  The directed influence on various actors of the media, representatives of social groups, producers and consumers of content in conditions of information confrontation can pose a direct threat to human  ...  In the context of social networks, individuals who are new to the network, have few network connections and low level of inter-user interaction.  ... 
doi:10.20535/tacs.2664-29132019.1.169082 fatcat:smfup44jfbfcrawn5y4q3xwuoq

Fighting False Information from Propagation Process: A Survey

Ling Sun, Yuan Rao, Lianwei Wu, Xiangbo Zhang, Yuqian Lan, Ambreen Nazir
2022 ACM Computing Surveys  
The recent serious cases of spreading false information have posed a significant threat to the social stability and even national security, urgently require all circles to respond adequately.  ...  Therefore, this survey illustrates how to fight against false information from its propagation process by (1) exploring the drivers of information infectivity from the content, media, user, structural  ...  Extending the homogeneous networks to heterogeneous is a possible research direction in the future.  ... 
doi:10.1145/3563388 fatcat:cgpfw3wt4rbi3aeipdagkqo3zq

Rumor Spreading: A Survey

2017 DEStech Transactions on Computer Science and Engineering  
Then, from the social media types, model research methods, model structure, research theory and whether the relationship considered the trust, the paper made the classified research and discussion of the  ...  It is the key factor to restrain rumor spreading, purify the environment of network and promote network harmony that deep studying the rumor spreading.  ...  Rumors are unconfirmed messages or information that the results are not necessarily false and sometimes prove to be true.  ... 
doi:10.12783/dtcse/aiea2017/14942 fatcat:fesjdygrjzbb5hdncgcnaihmvq

Rumor-Propagation Model with Consideration of Refutation Mechanism in Homogeneous Social Networks

Laijun Zhao, Xiaoli Wang, Jiajia Wang, Xiaoyan Qiu, Wanlin Xie
2014 Discrete Dynamics in Nature and Society  
In this paper, we describe the dynamic process of rumor propagation by accounting for the refutation mechanism in homogeneous social networks.  ...  Based on previous studies of rumor propagation and some strategies used by the authorities to refute rumors and manage rumor propagation, we develop a new rumor-propagation model with consideration of  ...  Acknowledgments This study is supported by Grants from the National Natural Science Foundation of China (project no. 90924030) and Social Development of Metropolis and Construction of Smart City (project  ... 
doi:10.1155/2014/659273 fatcat:wpdoumkyuzcvdg355rpwvfbg3a

A Novel Small-World Model: Using Social Mirror Identities for Epidemic Simulations

Chung-Yuan Huang, Chuen-Tsai Sun, Ji-Lung Hsieh, Yi-Ming Arthur Chen, Holin Lin
2005 Simulation (San Diego, Calif.)  
The authors propose a small-world network model that combines cellular automata with the social mirror identities of daily-contact networks for purposes of performing epidemiological simulations.The social  ...  mirror identity concept was established to integrate human long-distance movement and daily visits to fixed locations.  ...  If yes, set WearingMask to "true"; if no, to "false." Default value is "false."  ... 
doi:10.1177/0037549705061519 fatcat:33uvdrg3ifaohegc6ivnhmhvvy

Studying Fake News via Network Analysis: Detection and Mitigation [article]

Kai Shu, H. Russell Bernard, Huan Liu
2018 arXiv   pre-print
In this chapter, we will review network properties for studying fake news, introduce popular network types and how these networks can be used to detect and mitigation fake news on social media.  ...  To tackle the challenges, many existing works exploit various features, from a network perspective, to detect and mitigate fake news.  ...  Acknowledgements This material is based upon work supported by, or in part by, the ONR grant N ---, N , and N ---.  ... 
arXiv:1804.10233v1 fatcat:ll2cbfv3tbe7zclik34rrlofem

Towards Rumors Detection Framework for Social Media

Hadeer Sanaa, Nagy Ramadan, Hesham A.
2020 International Journal of Computer Applications  
This paper aims to present literature related to rumor detection on social network and try to find a link on how human behavior is affected by it.  ...  This model presents open issues and forwarded ideas to provide an insight for future work in the area of building Rumor-Human Behavior computational models.  ...  Also, they introduced a new Reddit rumor dataset with a new truth level as rumors arranged in five categories: "False", "Mostly False", "True", "Mostly True", and "Half True".  ... 
doi:10.5120/ijca2020919780 fatcat:agrfqij7yrby7gp7nitkkcfvf4

Combating Fake News: A Survey on Identification and Mitigation Techniques [article]

Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu
2019 arXiv   pre-print
While much of the earlier research was focused on identification of fake news based on its contents or by exploiting users' engagements with the news on social media, there has been a rising interest in  ...  The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news, and mitigation of its widespread impact on public opinion  ...  The views and conclusions are those of the authors and should not be interpreted as representing the social policies of the funding agency, or the U.S. Government.  ... 
arXiv:1901.06437v1 fatcat:xa2ecuhp4fcy5jetoiz5qchg6a

Modelling rapid online cultural transmission: evaluating neutral models on Twitter data with approximate Bayesian computation

Simon Carrignon, R. Alexander Bentley, Damian Ruck
2019 Palgrave Communications  
In these media contexts, cultural evolution is an intra-generational process with much 'horizontal' transmission.  ...  cascades whether true or false.  ...  We thank the National Institute for Mathematical and Biological Sciences, University of Tennessee, for support to SC in summer 2018 and the Severo Ochoa Mobility Program for funding his stay.  ... 
doi:10.1057/s41599-019-0295-9 fatcat:etrtethilnbzzesharmie7rwfq
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