Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
