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A Sociolinguistic Study Of Identity Construction From Lesbian Youth On TikTok

A Sociolinguistic Study Of Identity Construction From Lesbian Youth On TikTok
TikTok 上女同性恋青少年身份建构的社会语言学研究
批准号:
2720821
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

项目摘要

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中文摘要
翻译
为了重新审视与LGBTQ+青年集体数字参与相关的互动主义方法,该项目研究了群体隶属关系如何与身份实践相互作用,询问自我认同的女同性恋青年的共同社会语言学身份实践在多大程度上有助于“#lesbiantiktok”空间的主动和被动数字参与。该项目采用多学科方法进行多模态话语分析(MDA),通过研究女同性恋青年通过在未充分研究的数字空间TikTok上复述基于经验的叙事来呈现语言和语言外特征之间的相互作用。通过对TikTok平台上可用的短视频内容进行仔细分析,在语言分析软件ELAN中采用多模态转录框架,并不断进行细化,进行数据挖掘。使用该软件有助于解释在检查话语(独白和评论)、图像(视频和静态)、音频(音乐、语音、声音片段)和内置平台效果(过滤器和视觉效果)时所需的不同分析水平,这些效果是由用户在其身份构建和呈现中呈现和操纵的。详细记录平台特定技术的数字日志,如时间戳、相机角度、灯光、背景噪音,以及类似于“引用”其他TikTok用户或将用户内容插入新提交内容的用户交互,都记录在转录参数中。通过使用多种数字资源,如多模态框架和传统的数字日志检查,该项目通过一系列计算步骤形成,帮助研究人员深入研究TikTok平台的复杂性,并为观察到的社会语言学身份构建构建更强的语境元素。在对TikTok的分析中,探讨了酷儿理论的影响等理论考虑,以解释不断变化的平台动态的社会和数字背景,包括其对当前互动主义方法的文化和及时意义。使用与性行为和性别表达相关的有影响力的理论是该项目的关键,因为用户身份和互动的记录借鉴了对社会中异性恋二元性的传统理解,突出了“#LesbianTikTok”空间如何被独特地定义为与异性恋规范期望相关的非规范。考虑到用户体验、叙事展示和个人与TikTok界面的关系的复杂性,自我认同的女同性恋者被邀请接受采访,帮助澄清基于体验的叙事的数据解释,并加强对用户与共享数字空间互动的理解。案例研究是根据广泛的多模态转录形成的,并作为免费访谈数据的结果,对用户体验及其与数字界面的交互进行了深入的描述。最终,通过对社交平台及其用户的多模态分析,该项目通过一系列语言和语言外的手段展示了自我认同的女同性恋青年的身份建构,发展了对女同性恋青年体验和数字互动的细微表现的理解。
英文摘要
With an aim to recontextualise interactionist approaches in relation to the rise in collective digital engagement from LGBTQ+ youth, this project examines how group affiliation interacts with identity practices, asking to what extent the shared sociolinguistic identity practices of self-identified lesbian youth aid the active and passive digital participation with '#lesbiantiktok' spaces. This project takes a multidisciplinary approach to multimodal discourse analysis (MDA) through the examination of the interplay between linguistic and extralinguistic features presented by lesbian youth through their retelling of experience-based narratives on the under-researched digital space, TikTok. Through a close analysis of short-video content available on the TikTok platform, a multimodal transcription framework is employed and continuously refined for data exploration in the language analysis software: ELAN. Utilising this software helps to account for the differing levels of analysis required for examining discourse (monologue and commentary), imagery (video and static), audio (music, speech, sound-bites), and built-in platform effects (filters and visual effects) presented and manipulated by users in their identity construction and presentation. Digital logs that detail platform-specific technicalities such as time stamps, camera angles, lighting, background noise, and user interactions akin to 'quoting' fellow TikTok users or inserting user content into new submissions are documented in the transcription parameters. Through using a multitude of digital resources such as multimodal frameworks and traditional inspections of digital logs, this project is formed through a series of computational steps which help the researcher delve into the complexity of the TikTok platform and build a stronger contextual element to the observed sociolinguistic identity construction.Theoretical considerations such as the influence of Queer Theory within the analysis of TikTok are explored to explain the social and digital context of the everchanging platform dynamics, including its cultural and timely significance to current interactionist approaches. The use of influential theory relating to sexuality and gender expression is key to the project as the documentation of user identity and interaction draws from traditional understandings of heteronormative binaries present in societies, highlighting how '#LesbianTikTok' spaces are uniquely defined as non-normative in relation to heteronormative expectations. To account for the complexity of user experience, narrative display, and personal affiliation to the TikTok interface, self-identified lesbians are invited for interviews, helping to clarify data interpretation of experience-based narratives and strengthen understandings of user interaction with shared digital spaces. Case studies are formed in line with the extensive multimodal transcription and as a result of the complimentary interview data to give in-depth accounts of user experiences and their interactions with the digital interface. Ultimately, through multimodal analyse of the social platform and its users, the project showcases the identity construction of self-identified lesbian youth via an array of linguistic and extralinguistic means, developing an understanding of nuanced performances of lesbian youth experience and digital interaction.
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