Patterns of democracy? Social network analysis of parliamentary Twitter networks in 12 countries

Praet, Stiene; Martens, David; Aelst, Peter Van

doi:10.1016/j.osnem.2021.100154

Cited by 15 publications

(7 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These effects occur even on social networks where such mistakes in writing are common. Thus, from a practical point of view, the current findings might be especially important to politicians (Praet et al, 2021) and internet influencers (Lahuerta-Otero & Cordero-Gutiérrez, 2016) who attempt to present themselves in a positive light and change public opinion by writing on social media. These people, as well as all other social network users who want to make a good impression and persuade others, are advised to pay more attention not only to what they write but also to how they write it.…”

Section: Discussionmentioning

confidence: 93%

The effect of types of language mistakes on the persuasiveness of user-generated content on Facebook.

Meir,

Tal-Or

2024

Psychology of Popular Media

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 93%

The effect of types of language mistakes on the persuasiveness of user-generated content on Facebook.

Meir,

Tal-Or

2024

Psychology of Popular Media

View full text Add to dashboard Cite

“…via retweets or @-mentions. We view polarization as the absence of interaction between distinct subgroups [39]. To do so, we extract the observed subgroups and quantitatively compare the Krackhardt's E/I index [40] of the subgroups against the original network before agent activity.…”

Section: Discussionmentioning

confidence: 99%

From Curious Hashtags to Polarized Effect: Profiling Coordinated Actions in Indonesian Twitter Discourse

Danaditya¹,

Ng²,

Carley³

2022

Preprint

View full text Add to dashboard Cite

Coordinated campaigns in the digital realm have become an increasingly important area of study due to their potential to cause political polarization and threats to security through real-world protests and riots. In this paper, we introduce a methodology to profile two case studies of coordinated actions in Indonesian Twitter discourse. Combining network and narrative analysis techniques, this six-step pipeline begins with DISCOVERY of coordinated actions through hashtag-hijacking; identifying WHO are involved through the extraction of discovered agents; framing of what these actors did (DID WHAT) in terms of information manipulation maneuvers; TO WHOM these actions were targeted through correlation analysis; understanding WHY through narrative analysis and description of IMPACT through analysis of the observed conversation polarization. We describe two case studies, one international and one regional, in the Indonesian Twittersphere. Through these case studies, we unearth two seemingly related coordinated activities, discovered by deviating hashtags that do not fit the discourse, characterize the coordinated group profile and interaction, and describe the impact of their activity on the online conversation.

show abstract

“…It expresses “the degree of inequality and degree of variance in a network as a percentage of that of a perfect star network of the same size” (Hanneman and Riddle, 2011, p. 365). It can be computed as the ratio of the sum of the differences between the highest degree centrality of an actor and the degree centrality of every actor and the maximum possible sum of the differences between the highest degree centrality of an actor and the degree centrality of every actor (Praet et al. , 2021).…”

Section: Methodsmentioning

confidence: 99%

Are business friends social too? Understanding information sharing in an Indian dairy cooperative through a relational sociology lens

Singh

Christie

2022

IJSSP

View full text Add to dashboard Cite

PurposeExtant literature indicates that people use existing social networks for various collective activities as there is a cost involved to create and maintain separate networks for different activities. The authors build on the relational sociology framework and test this assertion in by examining a dairy cooperative society, which is a community organization. We hypothesize that the cooperative members are likely to use existing social networks to operationalize their cooperative (dairy-related matters) and other social and personal relations. This study tests the hypothesis by studying information sharing relations among the dairy cooperative members in two different social networks: the dairy information network and social information network.Design/methodology/approachThis study uses social network analysis to analyze relational data.FindingsThe study finds that the members of the dairy cooperative maintain both information sharing networks separately and that each network has different control and efficiency mechanisms.Originality/valueThe findings contradict the assertions of existing literature and establish that people ensure their business relations remain separated from their social relations to avoid the possibility of social conflicts affecting their business activities.

show abstract

Patterns of democracy? Social network analysis of parliamentary Twitter networks in 12 countries

Cited by 15 publications

References 47 publications

The effect of types of language mistakes on the persuasiveness of user-generated content on Facebook.

The effect of types of language mistakes on the persuasiveness of user-generated content on Facebook.

From Curious Hashtags to Polarized Effect: Profiling Coordinated Actions in Indonesian Twitter Discourse

Are business friends social too? Understanding information sharing in an Indian dairy cooperative through a relational sociology lens

Contact Info

Product

Resources

About