Multi-dimensional echo chambers: Language and sentiment structure of Twitter discussions on the Charlie Hebdo case

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2 Scopus citations

Abstract

Background. Public discussions on social networks have trans-border and multilingual nature. This is especially true for conflictual discussions that reach global trending topics. Being part of the global public sphere, such discussions were expected by many observers to become horizontal, all-involving, and democratically efficient. But, with time, criticism towards the democratic quality of discussions in social media arose, with many works discovering the patterns of echo chambering in social networks. Even if so, there is still scarce knowledge on how affective hashtags work in terms of user clusterization, as well as on the differences between emotionally ‘positive’ and ‘negative’ hashtags. Objectives. We address this gap by analyzing the Twitter discussion on the Charlie Hebdo massacre of 2015. In this discussion, the Twittershpere has created #jesuischarlie and #jenesuispascharlie - two discussion clusters with, allegedly, opposite sentiments towards the journal’s ethics and freedom of speech. Research design. We were interested in whether echo chambers formed both on the hashtag level (based on language use) and within a language (based on user sentiment of French-speaking users). For data collection, we used vocabulary-based Twitter crawling. For data analysis, we employed network analytics, manual coding, web graph reconstruction, and automated sentiment analysis. Results. Our results show that #jesuischarlie and #jenesuispascharlie are alike in language distribution, with French and English being the dominant languages and the discussions remaining within the Euro-Atlantic zone. The language-based echo chambers formed in both cases. But if #jesuiuscharlie was a clear sentiment crossroads, #jenesuispascharlie was a negative echo chamber, thus allowing us to draw conclusions about multi-layer echo chambering.

Original languageEnglish
Title of host publicationHCI International 2018 – Posters' Extended Abstracts
Subtitle of host publication20th International Conference, HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I
EditorsConstantine Stephanidis
PublisherSpringer Nature
Pages393-400
Number of pages8
Volume850
ISBN (Print)9783319922690
DOIs
StatePublished - 2018
Event20th International Conference on HCI, HCI International 2018 - Las Vegas, United States
Duration: 15 Jul 201820 Jul 2018

Publication series

NameCommunications in Computer and Information Science
Volume850
ISSN (Print)1865-0929

Conference

Conference20th International Conference on HCI, HCI International 2018
CountryUnited States
CityLas Vegas
Period15/07/1820/07/18

Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Keywords

  • Charlie Hebdo
  • Echo chambers
  • Sentiment analysis
  • Twitter

Fingerprint Dive into the research topics of 'Multi-dimensional echo chambers: Language and sentiment structure of Twitter discussions on the Charlie Hebdo case'. Together they form a unique fingerprint.

Cite this