{"title":"#面临紧急情况。关键词、标签和转发在沟通关键事件中的语言作用","authors":"Francesco Meledandri","doi":"10.1285/I22390359V39P291","DOIUrl":null,"url":null,"abstract":"In recent years, social media platforms have had a tremendous impact on the online world due to their effectiveness in multimodal communication events (Herring 2001). Social media users benefit from the digital nature of such interactions to gather data for different purposes, including discourse-related ones (Zappavigna 2012). Hashtags, in this sense, have proved to be an effective tool that is used to broaden communication but also to prompt real-life actions, especially to face and manage critical or emergency situations (Olteanu et al . 2015). This specific device is more likely to be used effectively on Twitter, a popular micro-blog used as an information aggregator and catalyst for action (Zappavigna 2015). Following previous studies focusing on the same topic (Burnap et al. 2014; Hughes, Palen 2009), the paper examines examples of context-based words and/or purpose-specific hashtags to explore their use by different sets of users with diverse intentions and aims. Twitter data are retrieved by means of real-time data mining tools (Brooker et al. 2016) to create relevant keyword- or hashtag-based sample corpora dealing with emergency situations (Aug – Sep 2017: two terror attacks and a natural disaster) which have caused remarkable media exposure. Data from such corpora identify some relevant words used in such situations, grouped according to several variables such as event-related, channel-dependent or sentiment-based criteria. Furthermore, an aggregated analysis is carried out in order to retrieve the most common patterns used to highlight performativity, thus emphasising the role of purpose-specific communication. Finally, a comparison of aggregated corpora with different tool-specific features ( retweets ) highlights the importance of such tool-specific devices in magnifying the range of communication effectiveness occurring in a proper ‘online discourse community’ (Herring 2008).","PeriodicalId":30935,"journal":{"name":"Lingue e Linguaggi","volume":"4 1","pages":"291-310"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Facing #emergencies. The linguistic role of keywords, hashtags and retweets in communicating critical events\",\"authors\":\"Francesco Meledandri\",\"doi\":\"10.1285/I22390359V39P291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, social media platforms have had a tremendous impact on the online world due to their effectiveness in multimodal communication events (Herring 2001). 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Twitter data are retrieved by means of real-time data mining tools (Brooker et al. 2016) to create relevant keyword- or hashtag-based sample corpora dealing with emergency situations (Aug – Sep 2017: two terror attacks and a natural disaster) which have caused remarkable media exposure. Data from such corpora identify some relevant words used in such situations, grouped according to several variables such as event-related, channel-dependent or sentiment-based criteria. Furthermore, an aggregated analysis is carried out in order to retrieve the most common patterns used to highlight performativity, thus emphasising the role of purpose-specific communication. 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引用次数: 0
摘要
近年来,社交媒体平台由于其在多模式通信事件中的有效性,对网络世界产生了巨大的影响(Herring 2001)。社交媒体用户受益于这种互动的数字性质,以收集不同目的的数据,包括与话语相关的数据(Zappavigna 2012)。从这个意义上说,标签已被证明是一种有效的工具,不仅可以扩大交流,还可以促进现实生活中的行动,特别是在面对和管理关键或紧急情况时(Olteanu等)。2015)。这种特定的设备更有可能在Twitter上有效地使用,Twitter是一种流行的微博,被用作信息聚合器和行动催化剂(Zappavigna 2015)。继之前的研究聚焦于同一主题(Burnap et al. 2014;Hughes, Palen 2009),本文考察了基于上下文的单词和/或特定目的的标签的例子,以探索具有不同意图和目标的不同用户组对它们的使用。通过实时数据挖掘工具(Brooker et al. 2016)检索Twitter数据,以创建相关的基于关键字或主题标签的样本语料库,以处理紧急情况(2017年8月至9月:两次恐怖袭击和一次自然灾害),这些紧急情况引起了显著的媒体曝光。来自这些语料库的数据确定了在这种情况下使用的一些相关词汇,并根据几个变量(如事件相关、渠道依赖或基于情绪的标准)进行分组。此外,还进行了汇总分析,以便检索用于突出性能的最常见模式,从而强调特定目的的通信的作用。最后,对具有不同工具特定功能(转发)的聚合语料库的比较强调了这些工具特定设备在放大适当的“在线话语社区”中发生的传播有效性范围方面的重要性(Herring 2008)。
Facing #emergencies. The linguistic role of keywords, hashtags and retweets in communicating critical events
In recent years, social media platforms have had a tremendous impact on the online world due to their effectiveness in multimodal communication events (Herring 2001). Social media users benefit from the digital nature of such interactions to gather data for different purposes, including discourse-related ones (Zappavigna 2012). Hashtags, in this sense, have proved to be an effective tool that is used to broaden communication but also to prompt real-life actions, especially to face and manage critical or emergency situations (Olteanu et al . 2015). This specific device is more likely to be used effectively on Twitter, a popular micro-blog used as an information aggregator and catalyst for action (Zappavigna 2015). Following previous studies focusing on the same topic (Burnap et al. 2014; Hughes, Palen 2009), the paper examines examples of context-based words and/or purpose-specific hashtags to explore their use by different sets of users with diverse intentions and aims. Twitter data are retrieved by means of real-time data mining tools (Brooker et al. 2016) to create relevant keyword- or hashtag-based sample corpora dealing with emergency situations (Aug – Sep 2017: two terror attacks and a natural disaster) which have caused remarkable media exposure. Data from such corpora identify some relevant words used in such situations, grouped according to several variables such as event-related, channel-dependent or sentiment-based criteria. Furthermore, an aggregated analysis is carried out in order to retrieve the most common patterns used to highlight performativity, thus emphasising the role of purpose-specific communication. Finally, a comparison of aggregated corpora with different tool-specific features ( retweets ) highlights the importance of such tool-specific devices in magnifying the range of communication effectiveness occurring in a proper ‘online discourse community’ (Herring 2008).