考虑更广泛的网络?运用多模态批评话语分析探索多元网络空间

Rebecca Nash
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引用次数: 0

摘要

网络与“传统”大众媒体的区别在于,它几乎可以即时访问用户以定制方式浏览的各种空间。用户通常作为网上材料的生产者和消费者捆绑在一起。因此,大型(“大数据”)和小规模网络研究都出现了新的研究途径。然而,这一领域的研究倾向于关注单一类型的网络平台(如Twitter数据、在线论坛等)。相反,网络用户不太可能将浏览归为离散类型的网络空间。这里要讨论的是——参考一个正在进行的案例研究,研究网络在美容手术的生产和消费中的作用——多模态批评话语分析(MMCDA)对跨多个在线空间的定性研究的有用性和意义。MMCDA检查交叉的视觉媒体和文本,以识别和理解(再)生产的主导意义在各种情况下。在选择的不同类型的网站上使用MMCDA——组装一个主题的“快照”——可以更广泛地对用户在日常体验层面上面对的互补、竞争和矛盾的视觉和文本来源进行定性探索。这就提出了重要的认识论和伦理问题,与在网络上进行定性研究有关。不同的网络空间如何促成主导话语的建构?作为研究人员,我们如何合乎道德地收集、分析和使用各种数据?由此产生了对点击超链接后可获得的各种内容进行更复杂理解的潜力。
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Considering a Wider Web?: Employing Multimodal Critical Discourse Analysis in Exploration of Multiple Online Spaces
What sets the Web apart from 'traditional' mass media is almost instantaneous access to diverse spaces that users navigate in customized ways. Users are often bound up as producers and consumers of materials online [1]. As a result, new avenues for research have emerged for both large ('Big Data') and small-scale Web studies. Research across this spectrum, however, has tended to focus on singular types of Web platform (i.e. Twitter data, online forums etc.). Web users, conversely, are unlikely to relegate browsing to discrete types of Web space. What will be argued here -- with reference to an ongoing case study researching the role of the Web on production and consumption of aesthetic surgery - is usefulness and significance of multimodal critical discourse analysis (MMCDA) for qualitative research across multiple online spaces. MMCDA examines intersecting visual media and texts to recognize and comprehend (re)production of dominant meanings in various contexts. Employing MMCDA across a selection of different types of websites -- assembling a 'snapshot' of a topic(s) - enables wider qualitative exploration of complementary, competing, and contradictory visual and textual sources confronting users on an everyday, experiential level. This raises important epistemological and ethical issues pertinent to undertaking qualitative research on the Web. How do different Web spaces contribute to construction of dominant discourses? How do we - as researchers - gather, analyze and use various data ethically? From this emerges potential for developing more intricate understandings of diverse content available at the click of a hyperlink.
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