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Link recommendation algorithms and dynamics of polarization in online social networks

Fernando P Santos, Yphtach Lelkes, Simon A Levin
2021
Overall, our study sheds light on the impacts of social-network algorithms and unveils avenues to steer dynamics of radicalization and polarization in online social networks.  ...  While new connections offline are driven largely by human decisions, new connections on online social platforms are intermediated by link recommendation algorithms, e.g., "People you may know" or "Whom  ...  We thank the participants of the PNAS Political Polarization Conference, and especially Sara Constantino and Vítor Vasconcelos, for enriching comments.  ... 
doi:10.1073/pnas.2102141118 pmid:34876508 pmcid:PMC8685674 fatcat:cjvgjqspzza3bmhrwxip2rz4xa

The Effect of People Recommenders on Echo Chambers and Polarization [article]

Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi
2021 arXiv   pre-print
Our proposal is based on Monte Carlo simulations combining link recommendation and opinion-dynamics models.  ...  Among the algorithms routinely used by social media platforms, people-recommender systems are of special interest, as they directly contribute to the evolution of the social network structure, affecting  ...  Algorithmic bias amplifies opinion fragmentation Rhythms of social interaction: Messaging within a massive and polarization: A bounded confidence model. PloS one online network.  ... 
arXiv:2112.00626v1 fatcat:ym7f52j3vnapfnsdith66e4tum

The complex link between filter bubbles and opinion polarization

Marijn A. Keijzer, Michael Mäs, Victor de Boer
2022 Data Science  
There is public and scholarly debate about the effects of personalized recommender systems implemented in online social networks, online markets, and search engines.  ...  Summarizing insights derived from formal models of social networks, we demonstrate that opinion dynamics can be critically influenced by mechanisms active on three levels of analysis: the individual, local  ...  Acknowledgements We would like to thank the members of the Norms and Network Cluster at the department of sociology at the University of Groningen for their helpful feedback on earlier versions of the  ... 
doi:10.3233/ds-220054 fatcat:udu7bhyl5zbk7mnxd34mjkndji

Social Influence and Unfollowing Accelerate the Emergence of Echo Chambers [article]

Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer
2020 arXiv   pre-print
Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending.  ...  The model dynamics show that even with minimal amounts of influence and unfriending, the social network rapidly devolves into segregated, homogeneous communities.  ...  Furthermore, we explore how biases in recommendation algorithms may exacerbate the dynamics of echo chambers.  ... 
arXiv:1905.03919v3 fatcat:iundyaefk5ey3mn7tmurntkok4

Social influence and unfollowing accelerate the emergence of echo chambers

Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer
2020 Journal of Computational Social Science  
Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending.  ...  The model dynamics show that even with minimal amounts of influence and unfriending, the social network rapidly devolves into segregated, homogeneous communities.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.  ... 
doi:10.1007/s42001-020-00084-7 fatcat:hmjiyimprrd4xlal7iqn3e4nt4

Minimizing Polarization and Disagreement in Social Networks [article]

Cameron Musco, Christopher Musco, Charalampos E. Tsourakakis
2017 arXiv   pre-print
The rise of social media and online social networks has been a disruptive force in society.  ...  of a social network that minimizes polarization and disagreement simultaneously?  ...  In this work we introduce the notion of the polarization-disagreement index to understand better this trade-off between disagreement and polarization in online social networks and online social media.  ... 
arXiv:1712.09948v1 fatcat:jlqum6guhbetfj6aslw6putj3i

Do Search Algorithms Endanger Democracy? An Experimental Investigation of Algorithm Effects on Political Polarization

Jaeho Cho, Saifuddin Ahmed, Martin Hilbert, Billy Liu, Jonathan Luu
2020 Journal of Broadcasting & Electronic Media  
Although social network construction is self-selective, ideas available in social networks, especially those based on online platforms, could go beyond the boundary of self and be more diverse than selfgenerated  ...  Exposure to and learning about alternative ideas through social networks do not guarantee using the ideas in one's own online searches.  ...  to train the search/ recommender algorithm.  ... 
doi:10.1080/08838151.2020.1757365 fatcat:lloz7trbf5devio6lcup3vsnlm

A Survey of Data Mining Techniques for Social Media Analysis [article]

Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl
2014 arXiv   pre-print
People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters.  ...  The heavy reliance on social network sites causes them to generate massive data characterised by three computational issues namely; size, noise and dynamism.  ...  Social Network showing nodes and links Social networks are important sources of online interactions and contents sharing [81] , [21] , subjectivity [6] , assessments [52] , approaches [54] , evaluation  ... 
arXiv:1312.4617v2 fatcat:7zulil64vfhrpeexj5mcs7canq

People are Strange when you're a Stranger: Impact and Influence of Bots on Social Networks [article]

Luca Maria Aiello, Martina Deplano, Rossano Schifanella, Giancarlo Ruffo
2014 arXiv   pre-print
We also register that our bot activity unveiled hidden social polarization patterns in the community and triggered an emotional response of individuals that brings to light subtle privacy hazards perceived  ...  and influential in a social media.  ...  We are grateful to aNobii for making its data available, to Giuseppe Tipaldo, Alain Barrat, Ciro Cattuto and to the members of the NaN group at Indiana University for helpful discussions.  ... 
arXiv:1407.8134v1 fatcat:wwuk5qu66jh7vkmoy6pkzzru4u

A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation [article]

Faisal Alatawi, Lu Cheng, Anique Tahir, Mansooreh Karami, Bohan Jiang, Tyler Black, Huan Liu
2021 arXiv   pre-print
These mechanisms could be manifested in two forms: (1) the bias of social media's recommender systems and (2) internal biases such as confirmation bias and homophily.  ...  An echo chamber is defined as a network of users in which users only interact with opinions that support their pre-existing beliefs and opinions, and they exclude and discredit other viewpoints.  ...  This could be a share, reply, or any other They could produce a polarized network (echo chamber) of kind of social media-specific interaction in which informa- users by recommending homophilic  ... 
arXiv:2112.05084v1 fatcat:hr5l4tnsyjeuvnzlexfb67m4xu

Tangled Worldview Model of Opinion Dynamics [article]

Hardik Rajpal, Fernando Rosas, Henrik Jeldtoft Jensen
2019 arXiv   pre-print
Using the proposed model, we highlight the role of network structure, bounded rationality of agents, and the role of key influential agents in causing polarization and intermittent reformation of worldviews  ...  Simulations show that the worldview evolution exhibits events of intermittent polarization when the social network is scale-free.  ...  FR was supported by the European Union's H2020 research and innovation programme, under the Marie Skłodowska-Curie grant agreement No. 702981.  ... 
arXiv:1901.06372v2 fatcat:46pvxagdmnbtdmcsj6nj3rbmhu

A Survey of Data Mining Techniques for Internet

Aishwarya Lakshmi R, SashiKumar D R
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters.  ...  The heavy reliance on social network sites causes them to generate massive data characterised by three computational issues namely; size, noise and dynamism.  ...  Fig. 1 . 1 Social Network showing nodes and links Social networks are important sources of online interactions and contents sharing [81] Fig 3 . 3 Graph Theoretic on Social Network Fig. 4 4 Social  ... 
doi:10.23956/ijarcsse/v7i1/0125 fatcat:wdtrh5du7ja3tkby5qoc7gmplm

Tangled Worldview Model of Opinion Dynamics

Hardik Rajpal, Fernando E. Rosas, Henrik J. Jensen
2019 Frontiers in Physics  
Using the proposed model, we highlight the role of network structure, bounded rationality of agents, and the role of key influential agents in causing polarization and intermittent reformation of worldviews  ...  Simulations show that the worldview evolution exhibits events of intermittent polarization when the social network is scale-free.  ...  All authors contributed equally to the conceptualization of the model, writing, and approved the final version of the manuscript.  ... 
doi:10.3389/fphy.2019.00163 fatcat:g6out3pmxvb3rh5gmsyc3qdcxa

Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model

Alina Sîrbu, Dino Pedreschi, Fosca Giannotti, János Kertész, Floriana Gargiulo
2019 PLoS ONE  
To study this phenomenon, we modify the well-known continuous opinion dynamics model of bounded confidence in order to account for the algorithmic bias and investigate its consequences.  ...  As a side effect, this introduces an algorithmic bias that is believed to enhance fragmentation and polarization of the societal debate.  ...  Acknowledgments We thank Guillaume Deffuant for useful discussions on finite size effects in the bounded confidence model.  ... 
doi:10.1371/journal.pone.0213246 pmid:30835742 pmcid:PMC6400382 fatcat:kgcutakccze4tkyasvj2lrr2qe

Communicating with Algorithms: A Transfer Entropy Analysis of Emotions-based Escapes from Online Echo Chambers

Martin Hilbert, Saifuddin Ahmed, Jaeho Cho, Billy Liu, Jonathan Luu
2018 Communication Methods and Measures  
The resulting dynamic is nowadays widespread in online networks (Colleoni, Rozza, & Arvidsson, 2014; Garrett, 2009a) , and has resulted in detectable tendencies of opinion extremism and political polarization  ...  This is a useful insight in the search for the design of socially more responsible recommender algorithms that aim at mitigating the polarization effects of today's filter bubbles.  ... 
doi:10.1080/19312458.2018.1479843 fatcat:sxrnf3ghzbfzfg5ou6w6wjfsea
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