{"title":"公众标签、网络框架和2016年7月土耳其的“政变”","authors":"Semra Demirdiş, S. Vicari, P. Reilly","doi":"10.5210/fm.v28i3.12867","DOIUrl":null,"url":null,"abstract":"On 15 July 2016, Turkey faced a military coup attempt against the government. Most Turkish citizens learned about the coup attempt from President Recep Tayyip Erdoğan, who contacted a television channel using FaceTime and urged citizens to go into the streets to resist it. Social media platforms, such as Twitter, were used heavily by Turkish citizens, with hashtags such as #TurkeyCoupAttempt, #darbeyehayir, #NoCoupInTurkey and #TurkeyCoup all trending during this period. This paper focuses on one of the most important anti-coup hashtags, #darbeyehayir (NoCoup), to examine how it was used during the anti-coup protests. By applying a mixed methods approach for Twitter content under the hashtag, the aim of the study is to unveil motivational frames used to call for action and provide a rationale for those participating in anti-coup protests. Results demonstrate that the framing dynamics emerging in the hashtags publics in which pro-Erdoğan supporters were dominant and used this process to provide support to the government during the ‘coup’. The hashtag was mainly used as a tool for government propaganda rather than encouraging civic discussions and participation, and ultimately democratic acts in authoritarian countries.","PeriodicalId":38833,"journal":{"name":"First Monday","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hashtag publics, networked framing and the July 2016 'coup' in Turkey\",\"authors\":\"Semra Demirdiş, S. Vicari, P. Reilly\",\"doi\":\"10.5210/fm.v28i3.12867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"On 15 July 2016, Turkey faced a military coup attempt against the government. Most Turkish citizens learned about the coup attempt from President Recep Tayyip Erdoğan, who contacted a television channel using FaceTime and urged citizens to go into the streets to resist it. Social media platforms, such as Twitter, were used heavily by Turkish citizens, with hashtags such as #TurkeyCoupAttempt, #darbeyehayir, #NoCoupInTurkey and #TurkeyCoup all trending during this period. This paper focuses on one of the most important anti-coup hashtags, #darbeyehayir (NoCoup), to examine how it was used during the anti-coup protests. By applying a mixed methods approach for Twitter content under the hashtag, the aim of the study is to unveil motivational frames used to call for action and provide a rationale for those participating in anti-coup protests. Results demonstrate that the framing dynamics emerging in the hashtags publics in which pro-Erdoğan supporters were dominant and used this process to provide support to the government during the ‘coup’. The hashtag was mainly used as a tool for government propaganda rather than encouraging civic discussions and participation, and ultimately democratic acts in authoritarian countries.\",\"PeriodicalId\":38833,\"journal\":{\"name\":\"First Monday\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First Monday\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5210/fm.v28i3.12867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First Monday","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5210/fm.v28i3.12867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
Hashtag publics, networked framing and the July 2016 'coup' in Turkey
On 15 July 2016, Turkey faced a military coup attempt against the government. Most Turkish citizens learned about the coup attempt from President Recep Tayyip Erdoğan, who contacted a television channel using FaceTime and urged citizens to go into the streets to resist it. Social media platforms, such as Twitter, were used heavily by Turkish citizens, with hashtags such as #TurkeyCoupAttempt, #darbeyehayir, #NoCoupInTurkey and #TurkeyCoup all trending during this period. This paper focuses on one of the most important anti-coup hashtags, #darbeyehayir (NoCoup), to examine how it was used during the anti-coup protests. By applying a mixed methods approach for Twitter content under the hashtag, the aim of the study is to unveil motivational frames used to call for action and provide a rationale for those participating in anti-coup protests. Results demonstrate that the framing dynamics emerging in the hashtags publics in which pro-Erdoğan supporters were dominant and used this process to provide support to the government during the ‘coup’. The hashtag was mainly used as a tool for government propaganda rather than encouraging civic discussions and participation, and ultimately democratic acts in authoritarian countries.
First MondayComputer Science-Computer Networks and Communications
CiteScore
2.20
自引率
0.00%
发文量
86
期刊介绍:
First Monday is one of the first openly accessible, peer–reviewed journals on the Internet, solely devoted to the Internet. Since its start in May 1996, First Monday has published 1,035 papers in 164 issues; these papers were written by 1,316 different authors. In addition, eight special issues have appeared. The most recent special issue was entitled A Web site with a view — The Third World on First Monday and it was edited by Eduardo Villanueva Mansilla. First Monday is indexed in Communication Abstracts, Computer & Communications Security Abstracts, DoIS, eGranary Digital Library, INSPEC, Information Science & Technology Abstracts, LISA, PAIS, and other services.