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Analysis of institutional authors

Martin-Gutierrez, SCorresponding AuthorLosada, JcAuthorBenito, RmAuthor

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December 19, 2024
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In-party love spreads more efficiently than out-party hate in online communities

Publicated to: Scientific Reports. 14 (1): 15700- - 2024-07-08 14(1), DOI: 10.1038/s41598-024-65688-9

Authors:

Martin-Gutierrez, S; Morales, JMR; Torcal, M; Losada, JC; Benito, RM
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Affiliations

Univ Complutense Madrid, Fac Polit Sci & Sociol, Dept Appl Sociol - Author
Univ Politecn Madrid, Grp Sistemas Complejos, ETSIAAB, Av Puerta Hierro 2-4 - Author
Univ Pompeu Fabra, Dept Ciencias Polit & Sociales, Trias Fargas 25-27 - Author
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Abstract

In this article, we present the findings of a comprehensive longitudinal social network analysis conducted on Twitter across four consecutive election campaigns in Spain, spanning from 2015 to 2019. Our focus is on the discernible trend of increasing partisan and ideological homogeneity within interpersonal exchanges on this social media platform, alongside high levels of networking efficiency measured through average retweeting. This diachronic study allows us to observe how dynamics of party competition might contribute to perpetuating and strengthening network ideological and partisan homophily, creating 'epistemic bubbles' in Twitter, yet showing a greater resistance to transforming them into 'partisan echo-chambers.' Specifically, our analysis reveals that the rise of a new radical right-wing party (RRP), Vox, has heightened ideological homogeneity among users across the entire ideological spectrum. However, this process has not been uniform. While users aligned with mainstream political parties consistently share content that reinforces in-party affinity, resulting in highly efficient 'epistemic bubbles,' the emergence of the RRP has given rise to a distinct group of users associated with the most extreme partisan positions, characterized by a notable proportion of out-partisan hostility content, which has fostered the creation of low-efficient 'partisan echo-chambers.'
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Keywords

ConservativesEcho chambersEpistemic bubblesHateHumansIdeologyIn-party affinityLoveNegative partisanshipOut-party hostilityPartisan echo-chambersParty supplyPolarizationPolitical communicationPoliticsRetweetingSelective exposureSocial mediaSocial network analysisSocial networkingSpainSystemTwitter

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Scientific Reports due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 25/136, thus managing to position itself as a Q1 (Primer Cuartil), in the category Multidisciplinary Sciences.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-26:

  • WoS: 2
  • Scopus: 3
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-26:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 23.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 22 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 57.
  • The number of mentions on the social network X (formerly Twitter): 27 (Altmetric).
  • The number of mentions in news outlets: 4 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86492/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 92
  • Downloads: 47
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Austria.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (MARTIN GUTIERREZ, SAMUEL) and Last Author (BENITO ZAFRILLA, ROSA MARIA).

the author responsible for correspondence tasks has been MARTIN GUTIERREZ, SAMUEL.

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