Twitter和新浪微博上企业广告的跨文化体裁分析

IF 1.8 2区 文学 Q3 BUSINESS Journal of Business and Technical Communication Pub Date : 2021-10-01 DOI:10.1177/10506519211044186
Xingsong Shi, Wenjing Wan
{"title":"Twitter和新浪微博上企业广告的跨文化体裁分析","authors":"Xingsong Shi, Wenjing Wan","doi":"10.1177/10506519211044186","DOIUrl":null,"url":null,"abstract":"To investigate the generic features of firm-generated advertisements (FGAs) in cross-cultural contexts, this study analyzed 327 FGAs by Dell Technologies and the Lenovo Group on Twitter and Sina Weibo. Integrating affordances and multimodality into genre analysis, the study showed that the FGAs were characterized by (a) flexible move structure, (b) persuasive language, (c) visual illustration, and (d) hyperlinks, hashtagging (#), and mentioning (@) functions. The FGAs on Sina Weibo, compared with those on Twitter, tended to use more language play, emojis, and contextual product pictures and show more emphasis on the niche of products, incentives, and celebrity endorsement.","PeriodicalId":46414,"journal":{"name":"Journal of Business and Technical Communication","volume":"36 1","pages":"71 - 104"},"PeriodicalIF":1.8000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Cross-Cultural Genre Analysis of Firm-Generated Advertisements on Twitter and Sina Weibo\",\"authors\":\"Xingsong Shi, Wenjing Wan\",\"doi\":\"10.1177/10506519211044186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To investigate the generic features of firm-generated advertisements (FGAs) in cross-cultural contexts, this study analyzed 327 FGAs by Dell Technologies and the Lenovo Group on Twitter and Sina Weibo. Integrating affordances and multimodality into genre analysis, the study showed that the FGAs were characterized by (a) flexible move structure, (b) persuasive language, (c) visual illustration, and (d) hyperlinks, hashtagging (#), and mentioning (@) functions. The FGAs on Sina Weibo, compared with those on Twitter, tended to use more language play, emojis, and contextual product pictures and show more emphasis on the niche of products, incentives, and celebrity endorsement.\",\"PeriodicalId\":46414,\"journal\":{\"name\":\"Journal of Business and Technical Communication\",\"volume\":\"36 1\",\"pages\":\"71 - 104\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Business and Technical Communication\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1177/10506519211044186\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business and Technical Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/10506519211044186","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 1

摘要

为了研究跨文化背景下企业生成广告的一般特征,本研究分析了戴尔科技和联想集团在推特和新浪微博上发布的327个企业生成广告。将可供性和多模态整合到体裁分析中,研究表明,FGA的特点是(a)灵活的动作结构,(b)有说服力的语言,(c)视觉插图,以及(d)超链接、标签(#)和提及(@)功能。与推特上的相比,新浪微博上的FGA倾向于使用更多的语言游戏、表情符号和上下文产品图片,并更加强调产品、激励和名人代言的利基市场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Cross-Cultural Genre Analysis of Firm-Generated Advertisements on Twitter and Sina Weibo
To investigate the generic features of firm-generated advertisements (FGAs) in cross-cultural contexts, this study analyzed 327 FGAs by Dell Technologies and the Lenovo Group on Twitter and Sina Weibo. Integrating affordances and multimodality into genre analysis, the study showed that the FGAs were characterized by (a) flexible move structure, (b) persuasive language, (c) visual illustration, and (d) hyperlinks, hashtagging (#), and mentioning (@) functions. The FGAs on Sina Weibo, compared with those on Twitter, tended to use more language play, emojis, and contextual product pictures and show more emphasis on the niche of products, incentives, and celebrity endorsement.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.10
自引率
18.20%
发文量
16
期刊介绍: JBTC is a refereed journal that provides a forum for discussion of communication practices, problems, and trends in business, professional, scientific, and governmental fields. As such, JBTC offers opportunities for bridging dichotomies that have traditionally existed in professional communication journals between business and technical communication and between industrial and academic audiences. Because JBTC is designed to disseminate knowledge that can lead to improved communication practices in both academe and industry, the journal favors research that will inform professional communicators in both sectors. However, articles addressing one sector or the other will also be considered.
期刊最新文献
Automating Research in Business and Technical Communication: Large Language Models as Qualitative Coders Using Generative AI to Facilitate Data Analysis and Visualization: A Case Study of Olympic Athletes On the Current Moment in AI: Introduction to Special Issue on Effects of Artificial Intelligence Tools in Technical Communication Pedagogy, Practice, and Research, Part 1 Comparing Student and Writing Instructor Perceptions of Academic Dishonesty When Collaborators Are Artificial Intelligence or Human Preparing Future Technical Editors for an Artificial Intelligence-enabled Workplace
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1