Hashtags as Crowdsourcing: A Case Study of Arabic Hashtags on Twitter

Pub Date : 2019-10-09 DOI:10.4236/sn.2019.84011
Batool Hendal
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引用次数: 1

Abstract

This mixed study aims to highlight the impact of social media in the Arab world, specifically Twitter’s impact on translators’ communities. For this purpose, the role of hashtags among translators will be examined by investigating one particular Arabic hashtag, its purpose, target users, and the classification of content. The hashtag is , #translator_serving_translator. 1) An online survey of six closed questions was employed and posted on Twitter, and 249 responses show that users are from fourteen Arab countries, and the majority is from Saudi Arabia. Hashtag users are translators, freelancers, or TS students. Some are active users who post tweets and answer questions, others only ask questions, and the rest only read tweets. The general attitude toward employing hashtags among translators’ communities was positive. 2) Employing a content analysis approach, the content is classified into two main categories of sharing information and seeking assistance with seven subcategories of each.
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标签作为众包:推特上阿拉伯标签的案例研究
这项混合研究旨在强调社交媒体在阿拉伯世界的影响,特别是Twitter对翻译社区的影响。为此,我们将通过调查一个特定的阿拉伯语标签、其目的、目标用户和内容分类,来考察标签在翻译人员中的作用。标签是#translator_serving_translator。1)采用6个封闭式问题的在线调查,发布在Twitter上,249个回复显示用户来自14个阿拉伯国家,其中大多数来自沙特阿拉伯。标签用户是翻译、自由职业者或TS学生。有些是发布tweet并回答问题的活跃用户,有些只提问,其余的只阅读tweet。译者社区对使用话题标签的总体态度是积极的。2)采用内容分析的方法,将内容分为信息共享和寻求帮助两大类,每大类又分为7个子类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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