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Representing the Filter Bubble: Towards a Model to Diversification in News

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Advances in Conceptual Modeling (ER 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11787))

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Abstract

Filtering techniques like recommender systems are commonly employed to help people selecting items that best fit their conceptual needs. Although many benefits, recommender systems can put the user inside a filter-bubble given their high focus on similarity measures. This effect tends to limit user experiences, discovering new things, and so on. In the news domain, filter-bubbles are quite critical once they are means of changing people opinions. Therefore we propose a diversification approach to pop the bubble through a representation model based on points of view.

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Notes

  1. 1.

    Available at https://sisrec.inf.ufrgs.br/news-rec/.

  2. 2.

    https://g1.globo.com/.

  3. 3.

    https://www.r7.com/.

  4. 4.

    https://piaui.folha.uol.com.br/lupa/.

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Author information

Authors and Affiliations

  1. Institute of Informatics, UFRGS, Porto Alegre, Brazil

    Gabriel Machado Lunardi

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  1. Gabriel Machado Lunardi
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Correspondence to Gabriel Machado Lunardi .

Editor information

Editors and Affiliations

  1. Free University of Bozen-Bolzano, Bolzano, Italy

    Giancarlo Guizzardi

  2. Ghent University, Ghent, Belgium

    Frederik Gailly

  3. Federal University of Southern Bahia, Salvador, Brazil

    Rita Suzana Pitangueira Maciel

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Lunardi, G.M. (2019). Representing the Filter Bubble: Towards a Model to Diversification in News. In: Guizzardi, G., Gailly, F., Suzana Pitangueira Maciel, R. (eds) Advances in Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11787. Springer, Cham. https://doi.org/10.1007/978-3-030-34146-6_22

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  • DOI: https://doi.org/10.1007/978-3-030-34146-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34145-9

  • Online ISBN: 978-3-030-34146-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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