Relationship between ideology and language in the Catalan independence context

Atienza-Barthelemy, Julia; Martin-Gutierrez, Samuel; Losada, Juan Carlos; Benito, R. M.

doi:10.1038/s41598-019-53404-x

Cited by 9 publications

(4 citation statements)

References 22 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, studies that test these arguments are seemingly contradictory and inconclusive 8 – 11 . Recent findings demonstrate not only that ideologically heterogeneous exchanges among social media users are deemed more frequent than expected (see 12 – 16 ) but also that ideological/partisan homophily tends to be equally concentrated at both sides of ideological extremes 17 , 18 . Furthermore, in certain cases, conservative users are more likely to follow media and political accounts classified as left-leaning than the opposite 19 .…”

Section: Introductionmentioning

confidence: 92%

In-party love spreads more efficiently than out-party hate in online communities

Martin-Gutierrez,

Robles Morales,

Torcal

et al. 2024

Sci Rep

View full text Add to dashboard Cite

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.'

show abstract

Section: Introductionmentioning

confidence: 92%

In-party love spreads more efficiently than out-party hate in online communities

Martin-Gutierrez,

Robles Morales,

Torcal

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The hierarchical structure is used for sentiment analysis to identify malicious users in the opinion leader set who pose a threat to national security. Atienza-Barthelemy et al [ 32 ] established the directed weighted retweet network to study the relationship between ideology and language in the Catalan independence context. They carried out the selection of the users (opinion leaders) in two steps.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Robustness of Open-Source Project Knowledge Collaborative Network Based on Opinion Leader Identification

Lei

Zhang

Liu

2021

Entropy

View full text Add to dashboard Cite

A large amount of semantic content is generated during designer collaboration in open-source projects (OSPs). Based on the characteristics of knowledge collaboration behavior in OSPs, we constructed a directed, weighted, semantic-based knowledge collaborative network. Four social network analysis indexes were created to identify the key opinion leader nodes in the network using the entropy weight and TOPSIS method. Further, three degradation modes were designed for (1) the collaborative behavior of opinion leaders, (2) main knowledge dissemination behavior, and (3) main knowledge contribution behavior. Regarding the degradation model of the collaborative behavior of opinion leaders, we considered the propagation characteristics of opinion leaders to other nodes, and we created a susceptible–infected–removed (SIR) propagation model of the influence of opinion leaders’ behaviors. Finally, based on empirical data from the Local Motors open-source vehicle design community, a dynamic robustness analysis experiment was carried out. The results showed that the robustness of our constructed network varied for different degradation modes: the degradation of the opinion leaders’ collaborative behavior had the lowest robustness; this was followed by the main knowledge dissemination behavior and the main knowledge contribution behavior; the degradation of random behavior had the highest robustness. Our method revealed the influence of the degradation of collaborative behavior of different types of nodes on the robustness of the network. This could be used to formulate the management strategy of the open-source design community, thus promoting the stable development of OSPs.

show abstract

“…These early years, a period of changes and profound social, economic and political transformations throughout Europe, were key for the Catalan nation, which for centuries had been claiming its independence from the rest of the Spanish state. On the one hand, Catalan institutions have achieved national and international fame and prestige, something that had not happened before (Álvarez, 2019;Atienza-Barthelemy et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the feminine cultural and pedagogical codes of the musical talent of the Spanish prodigy pianist Maria Vallès at the early 20th century

Saneleuterio

2023

Rast Müzikoloji Dergisi

View full text Add to dashboard Cite

This paper aims to find details about an excellent Spanish pianist from the beginning of the 20th century who starred when she was a little child: her name was María Vallès. Not many news are known about her brief biography since she had a short life and little could develop and become known as a pianist. Through a research work some press articles from the first decades of the 20th century were found, which highlight the excellence of her piano performances in Spain. This research was carried out according to the type of document analysis, which is one of the qualitative research types. Evidence documents regarding the prodigy phenomenon of the Spanish pianist were found. She played concerts basically in Catalonia, where she moved with her family when she was a little child. It should be also noted that she studied with one of the most prestigious pedagogues of the time, Molinari. He was her mentor and the one who introduced her to the Catalan cultural and musical life of the twenties, making her known among her peers who were also pedagogues and musicologists and the public attending her concerts. This research includes some codes for practitioners and pedagogues for the development of piano talent, in the example of Spanish pianist Maria Vallès, who was a prodigy child.

show abstract

Relationship between ideology and language in the Catalan independence context

Cited by 9 publications

References 22 publications

In-party love spreads more efficiently than out-party hate in online communities

In-party love spreads more efficiently than out-party hate in online communities

Dynamic Robustness of Open-Source Project Knowledge Collaborative Network Based on Opinion Leader Identification

Analysis of the feminine cultural and pedagogical codes of the musical talent of the Spanish prodigy pianist Maria Vallès at the early 20th century

Contact Info

Product

Resources

About