A template for mapping emotion expression within hashtag publics

Tools

Rathnayake, Chamil and Suthers, Daniel D (2023) A template for mapping emotion expression within hashtag publics. Communication and the Public, 8 (3). pp. 135-155. (https://doi.org/10.1177/20570473231169787)

[thumbnail of Rathnayake-Suthers-CP-2023-A-template-for-mapping-emotion-expression-within-hashtag-publics]
Preview
 Text. Filename: Rathnayake_Suthers_CP_2023_A_template_for_mapping_emotion_expression_within_hashtag_publics.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (1MB)| Preview

Abstract

Current literature on networked publics lacks research that examines how emotions are mobilised around specific actors, and quantitative analysis of affective phenomena is limited to vanity metrics. We address this issue by developing a network analytic routine, which guides the attribution of emotions contained in hashtagged tweets to their sources and targets. The proposed template enables identification of networked inconsequentiality (i.e., inability to trigger dialogue), reply targets (i.e., individuals targeted in replies), and voice agents (i.e., senders of replicated utterances). We demonstrate this approach with two datasets based on the hashtags #Newzealand (n= 131,523) and #SriLanka (n= 145,868) covering two major incidents of terrorism related to opposing extremist ideologies. In addition to the methodological contribution, the study demonstrates that user-driven emergence of networked leadership takes place based on conventional structures of power in which individuals with high power and social status are likely to emerge as targets as well as sources of emotions.

ORCID iDs

Rathnayake, Chamil ORCID logoORCID: https://orcid.org/0000-0003-1964-2639 and Suthers, Daniel D;
CORE (COnnecting REpositories)