Frederik Elwert, Giulia Evolvi, Anna Neumaier, K. de Wildt
{"title":": Emoji and Religion in the Twitter Discourses on the Notre Dame Cathedral Fire","authors":"Frederik Elwert, Giulia Evolvi, Anna Neumaier, K. de Wildt","doi":"10.1163/21659214-bja10071","DOIUrl":null,"url":null,"abstract":"\nThe fire that destroyed a large part of the world-famous Notre Dame Cathedral in France in April 2019 shocked the world. A lively expression of thoughts and feelings during and after the fire arose on Twitter. In this article, we will analyze the discourses about the Notre Dame fire on Twitter, with a specific focus on emoji, focusing on the thoughts and feelings emoji express and how they convey the meanings religious buildings have for people. Based on a dataset of almost 2 million tweets collected in the week following the incident, this paper leverages a variety of computational and qualitative methods to explore the topic from different angles. Temporal analysis and topic modelling show the dynamics of emoji usage, which drastically changes after a few days from expressing sorrow to expressing skepticism. Semantic analysis using the word2vec model reveals the implicit meaning of potentially ambiguous emoji characters.","PeriodicalId":29881,"journal":{"name":"Journal of Religion Media and Digital Culture","volume":"24 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Religion Media and Digital Culture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1163/21659214-bja10071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
The fire that destroyed a large part of the world-famous Notre Dame Cathedral in France in April 2019 shocked the world. A lively expression of thoughts and feelings during and after the fire arose on Twitter. In this article, we will analyze the discourses about the Notre Dame fire on Twitter, with a specific focus on emoji, focusing on the thoughts and feelings emoji express and how they convey the meanings religious buildings have for people. Based on a dataset of almost 2 million tweets collected in the week following the incident, this paper leverages a variety of computational and qualitative methods to explore the topic from different angles. Temporal analysis and topic modelling show the dynamics of emoji usage, which drastically changes after a few days from expressing sorrow to expressing skepticism. Semantic analysis using the word2vec model reveals the implicit meaning of potentially ambiguous emoji characters.