Media virality

Strategic modelling for content creators



Hey check out this tiktok

Contagion of ideas and opinions is particularly well studied in the case of media. I know a little about about this, thanks to my own masters thesis.

For a deep dive, why not excavate the references in the ANU Computational Media Group which does an excellent job in this realm?

References

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Andris, Clio Maria, Caglar Koylu, and Mason A. Porter. 2021. β€œHuman-Network Regions as Effective Geographic Units for Disease Mitigation.” SocArXiv.
Aral, Sinan, Lev Muchnik, and Arun Sundararajan. 2009. β€œDistinguishing Influence-Based Contagion from Homophily-Driven Diffusion in Dynamic Networks.” Proceedings of the National Academy of Sciences 106 (51): 21544–49.
Barnett, Lionel, Adam B. Barrett, and Anil K. Seth. 2009. β€œGranger Causality and Transfer Entropy Are Equivalent for Gaussian Variables.” Physical Review Letters 103 (23): 238701.
Bessi, Alessandro. 2016. β€œOn the Statistical Properties of Viral Misinformation in Online Social Media.” arXiv:1609.09435 [Physics, Stat], September.
Broniatowski, David A., Amelia M. Jamison, SiHua Qi, Lulwah AlKulaib, Tao Chen, Adrian Benton, Sandra C. Quinn, and Mark Dredze. 2018. β€œWeaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate.” American Journal of Public Health 108 (10): 1378–84.
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FernΓ‘ndez, Miriam, Alejandro BellogΓ­n, and IvΓ‘n Cantador. 2021. β€œAnalysing the Effect of Recommendation Algorithms on the Amplification of Misinformation.” arXiv:2103.14748 [Cs], March.
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Kong, Quyu, Marian-Andrei Rizoiu, Siqi Wu, and Lexing Xie. 2018. β€œWill This Video Go Viral? Explaining and Predicting the Popularity of Youtube Videos.” Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW ’18, 175–78.
Kong, Quyu, Marian-Andrei Rizoiu, and Lexing Xie. 2020. β€œModeling Information Cascades with Self-Exciting Processes via Generalized Epidemic Models.” In Proceedings of the 13th International Conference on Web Search and Data Mining, 286–94. WSDM ’20. New York, NY, USA: Association for Computing Machinery.
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Pinto, Julio Cesar Louzada, and Tijani Chahed. 2014. β€œModeling Multi-Topic Information Diffusion in Social Networks Using Latent Dirichlet Allocation and Hawkes Processes.” In Proceedings of the 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems, 339–46. SITIS ’14. Washington, DC, USA: IEEE Computer Society.
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Rizoiu, Marian-Andrei, Timothy Graham, Rui Zhang, Yifei Zhang, Robert Ackland, and Lexing Xie. 2018. β€œ#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate.” arXiv:1802.09808 [Cs], May.
Rizoiu, Marian-Andrei, Swapnil Mishra, Quyu Kong, Mark Carman, and Lexing Xie. 2018. β€œSIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations.” In Proceedings of the 2018 World Wide Web Conference, 419–28. Republic and Canton of Geneva, CHE: International World Wide Web Conferences Steering Committee.
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Saichev, A., and D. Sornette. 2011. β€œHierarchy of Temporal Responses of Multivariate Self-Excited Epidemic Processes.” arXiv:1101.1611 [Cond-Mat, Physics:physics], January.
Salganik, Matthew J., and Duncan J. Watts. 2008. β€œLeading the Herd Astray: An Experimental Study of Self-Fulfilling Prophecies in an Artificial Cultural Market.” Social Psychology Quarterly 74 (4): 338.
Shalizi, Cosma Rohilla, and Andrew C. Thomas. 2011. β€œHomophily and Contagion Are Generically Confounded in Observational Social Network Studies.” Sociological Methods & Research 40 (2): 211–39.
Sharma, Amit, Jake M. Hofman, and Duncan J. Watts. 2015. β€œEstimating the Causal Impact of Recommendation Systems from Observational Data.” Proceedings of the Sixteenth ACM Conference on Economics and Computation - EC ’15, 453–70.
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Xie, Lexing, Apostol Natsev, Xuming He, John Kender, Matthew Hill, and John R. Smith. 2013. β€œTracking Large-Scale Video Remix in Real-World Events.” arXiv:1210.0623 [Cs], May.
Yang, Shuang-Hong, and Hongyuan Zha. 2013. β€œMixture of Mutually Exciting Processes for Viral Diffusion.” In Proceedings of The 30th International Conference on Machine Learning, 28:1–9.
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