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Visibilidade no Facebook: Modelos, Medições e Implicações

Abstract : Facebook news feed personalization algorithm has a significant impact , on a daily basis, on the lifestyle, mood and opinion of millions of Internet users. Nonetheless, such algorithms lack transparency challenging researchers to improve their fairness and accountability. In this paper, we propose a model to capture the dynamics of contents over a timeline (also known as news feed). The input to our model is a fundamental quantity associated to timelines, which we show that can be easily parameterized using real world data: the arrival rate of posts of a given publisher followed by the user. Using real world Facebook traces from the latest elections in Italy, we validate the accuracy of the proposed model and use the model for conterfactual what-if analysis.
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Submitted on : Saturday, December 15, 2018 - 1:13:02 PM
Last modification on : Wednesday, November 3, 2021 - 4:12:36 AM
Long-term archiving on: : Saturday, March 16, 2019 - 2:00:33 PM


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  • HAL Id : hal-01956316, version 1



Eduardo Hargreaves, Daniel Sadoc Menasché, Giovanni Neglia, Claudio Agosti. Visibilidade no Facebook: Modelos, Medições e Implicações. Brazilian Workshop on Social Network Analysis and Mining (BraSNAM), Jul 2018, Natal, Brazil. ⟨hal-01956316⟩



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