Mum's the word... using text analysis to better understand expressions and experiences related to fertility

妈妈的话......使用文本分析来更好地理解与生育相关的表达和经历

• 批准号: 2751132
• 金额: --
• 依托单位: London School of Economics and Political Science
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2751132
• 关键词: Mum; word...; using; text; analysis

New data sources are expanding opportunities in Demography. Survey-based methods miss some of the demographic and social processes that we need to understand, such as complex emotions and experiences across all areas of life, from employment, to partnerships, and to fertility treatment. Digital trace data offers a potential real-time benefit, allowing us to track societal changes by avoiding the time lags of surveys. For instance, the main source of data proposed in this research spans from 2006 to today, with data on a minute-by-minute timescale. More so than simply accessing untapped data, the interest of this research is in how using this data towards demographic research, by capturing the dynamic and highly personal formation of fertility plans. The use of surveys in fertility research leads the field, but, the assumptions embedded in the survey wording and response options construct how demographers, the public, and policymakers interpret population dynamics (Chatterjee and Riley 2018). This research intends to avoid the middle-man of the survey by using the Internet and the application of large-scale text analysis for fertility research in order to answer questions that surveys maybe fail to answer - relating to emotions, experiences and intentions.The real-world impact of this research is driven by the opportunities to look closer at the individual and how individuals navigate the pathway to parenthood in a digital age, where ever more, the Internet is a source of information and also a place for expression. By using spontaneous and anonymous expressions, insights can be made into how in-person educational information is lacking, how the groups that are under-represented in surveys may be left behind in research, and how the representation of individual's experiences can be improved. From web forums to mobile phone apps, each step of the transition to parenthood can be better understood through the granularity and the masses of Internet data. The Internet is changing the way people progress to parenthood, by tracking the menstrual cycle with the intention to become or avoid becoming pregnant with fertility tracking apps, while using social media platforms to express emotions and experiences along the way. The focus of this proposed research will be on fertility overall, although the initial research will be built on female-majority platforms. As the research progresses, this proposal aims to build on the knowledge of male fertility and non-heterosexual fertility, which are sometimes difficult to study in demography due in part to the lack of available data.

新的数据来源正在扩大人口统计学的机会。基于调查的方法错过了我们需要了解的一些人口和社会过程，例如生活各个领域的复杂情绪和经历，从就业到伙伴关系，再到生育治疗。数字跟踪数据提供了一个潜在的实时好处，使我们能够通过避免调查的时间滞后来跟踪社会变化。例如，这项研究中提出的主要数据来源从2006年到今天，数据以分钟为单位。更重要的是，这项研究的兴趣是如何使用这些数据进行人口研究，通过捕捉生育计划的动态和高度个人化的形成。在生育率研究中使用调查引领了这一领域，但是，调查措辞和回答选项中嵌入的假设构建了人口统计学家，公众和政策制定者如何解释人口动态（Chatterjee和Riley 2018）。这项研究旨在通过使用互联网和应用大规模文本分析进行生育研究来避免调查的中间人，以回答调查可能无法回答的问题-与情感，经验和意图有关。这项研究的现实世界影响是由近距离观察个体的机会以及个体如何在数字时代导航父母之路，互联网是信息的来源，也是表达的场所。通过使用自发和匿名的表达，可以深入了解如何缺乏面对面的教育信息，如何在调查中代表性不足的群体可能会在研究中落后，以及如何改善个人经历的代表性。从网络论坛到移动的手机应用程序，通过粒度和大量的互联网数据，可以更好地理解向父母过渡的每一步。互联网正在改变人们成为父母的方式，通过跟踪月经周期，意图通过生育跟踪应用程序怀孕或避免怀孕，同时使用社交媒体平台表达情感和体验沿着。这项拟议研究的重点将是总体生育率，尽管初步研究将建立在女性占多数的平台上。随着研究的进展，这一建议旨在建立在对男性生育力和非异性恋生育力的了解基础上，部分由于缺乏可用数据，有时难以在人口学中进行研究。