{"title":"Temporality of online reactions to fictional characters’ death","authors":"Elisabeth Beaunoyer , Matthieu J. Guitton","doi":"10.1016/j.entcom.2024.100813","DOIUrl":null,"url":null,"abstract":"<div><p>In the digital era, online reactions to broadcast media are an important feature of audience engagement. Although central, the question of the temporality of audience online reactions has been understudied. We investigate this question by exploring the temporal patterns of online reactions to fictional characters’ deaths. More than 3,500 forum reactions to <em>Game of Thrones</em> characters’ deaths were collected over 5 years. Temporal patterns of reactions to expected deaths displayed more long-term patterns, while reactions to unexpected deaths displayed more spontaneous patterns. These results further our understanding of death reactions’ temporality in cyberspace, in a multimedia and transmedia storytelling context.</p></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"52 ","pages":"Article 100813"},"PeriodicalIF":2.8000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1875952124001812/pdfft?md5=68307d7b5b13426e01f4ac4ba8da14e4&pid=1-s2.0-S1875952124001812-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Entertainment Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1875952124001812","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
In the digital era, online reactions to broadcast media are an important feature of audience engagement. Although central, the question of the temporality of audience online reactions has been understudied. We investigate this question by exploring the temporal patterns of online reactions to fictional characters’ deaths. More than 3,500 forum reactions to Game of Thrones characters’ deaths were collected over 5 years. Temporal patterns of reactions to expected deaths displayed more long-term patterns, while reactions to unexpected deaths displayed more spontaneous patterns. These results further our understanding of death reactions’ temporality in cyberspace, in a multimedia and transmedia storytelling context.
期刊介绍：
Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.
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