Abstract

This position paper details ongoing work ex-ploring political tribalism in online discussions about Brexit. We use computational methods to analyze a Twitter dataset of significant size (over 7 million tweets spanning 32 months of conversations), using group identity keywords (e.g. Brexiteer, Remainer) as a proxy for trib-alism. Initial results indicate that levels of tribalism increase over time for all keywords, in particular for pro-EU ones (Remainer, Re-moaner). We also find a number of anoma-lies in the volume of tribal keyword use over time, which may relate to real-life political events. Here we discuss initial findings and briey present ideas for further research.

Original languageEnglish
Pages (from-to)27-29
Number of pages3
JournalCEUR Workshop Proceedings
Volume2411
Publication statusPublished - 25 Jul 2019
Event3rd International Workshop on Recent Trends in News Information Retrieval, NewsIR 2019 - Paris, France
Duration: 25 Jul 2019 → …

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

@article{bce61fee782641c1a6f7602addcb2180,
title = "Battle for Britain: Analysing drivers of political tribalism in online discussions about Brexit",
abstract = "This position paper details ongoing work ex-ploring political tribalism in online discussions about Brexit. We use computational methods to analyze a Twitter dataset of significant size (over 7 million tweets spanning 32 months of conversations), using group identity keywords (e.g. Brexiteer, Remainer) as a proxy for trib-alism. Initial results indicate that levels of tribalism increase over time for all keywords, in particular for pro-EU ones (Remainer, Re-moaner). We also find a number of anoma-lies in the volume of tribal keyword use over time, which may relate to real-life political events. Here we discuss initial findings and briey present ideas for further research.",
author = "Samantha North and Lukasz Piwek and Adam Joinson",
year = "2019",
month = "7",
day = "25",
language = "English",
volume = "2411",
pages = "27--29",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR-WS",

}

TY - JOUR

T1 - Battle for Britain

T2 - Analysing drivers of political tribalism in online discussions about Brexit

AU - North, Samantha

AU - Piwek, Lukasz

AU - Joinson, Adam

PY - 2019/7/25

Y1 - 2019/7/25

N2 - This position paper details ongoing work ex-ploring political tribalism in online discussions about Brexit. We use computational methods to analyze a Twitter dataset of significant size (over 7 million tweets spanning 32 months of conversations), using group identity keywords (e.g. Brexiteer, Remainer) as a proxy for trib-alism. Initial results indicate that levels of tribalism increase over time for all keywords, in particular for pro-EU ones (Remainer, Re-moaner). We also find a number of anoma-lies in the volume of tribal keyword use over time, which may relate to real-life political events. Here we discuss initial findings and briey present ideas for further research.

AB - This position paper details ongoing work ex-ploring political tribalism in online discussions about Brexit. We use computational methods to analyze a Twitter dataset of significant size (over 7 million tweets spanning 32 months of conversations), using group identity keywords (e.g. Brexiteer, Remainer) as a proxy for trib-alism. Initial results indicate that levels of tribalism increase over time for all keywords, in particular for pro-EU ones (Remainer, Re-moaner). We also find a number of anoma-lies in the volume of tribal keyword use over time, which may relate to real-life political events. Here we discuss initial findings and briey present ideas for further research.

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M3 - Conference article

VL - 2411

SP - 27

EP - 29

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

ER -