评估同意将Twitter数据与调查数据链接

IF 1.5 3区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Zeina Mneimneh
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引用次数: 0

摘要

这项研究提出了一个初步的框架,描述了可能影响受访者决定将他们的调查数据与他们的公共Twitter数据联系起来的因素。它还调查了两类因素,即与个人有关的因素和与同意请求的设计有关的因素。个人层面的因素包括受访者对帮助行为的态度、隐私问题和社交媒体参与模式。设计因素侧重于同意请求在访谈中的位置。这些调查使用的数据是从一项网络调查中收集的,调查对象是从美国的一个成人在线概率小组中选择的Twitter用户样本。样本被随机分为两组,一组在调查开始时收到链接请求的同意,另一组在调查结束时收到请求。隐私问题、社交媒体参与度和同意请求的位置都被发现与同意链接有关。这些发现对于设计旨在将社交媒体数据与调查数据联系起来的未来研究具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of consent to link Twitter data to survey data

Evaluation of consent to link Twitter data to survey data

This study presents an initial framework describing factors that could affect respondents' decisions to link their survey data with their public Twitter data. It also investigates two types of factors, those related to the individual and to the design of the consent request. Individual-level factors include respondents' attitudes towards helpful behaviours, privacy concerns and social media engagement patterns. The design factor focuses on the position of the consent request within the interview. These investigations were conducted using data that was collected from a web survey on a sample of Twitter users selected from an adult online probability panel in the United States. The sample was randomly divided into two groups, those who received the consent to link request at the beginning of the survey, and others who received the request towards the end of the survey. Privacy concerns, measures of social media engagement and consent request placement were all found to be related to consent to link. The findings have important implications for designing future studies that aim at linking social media data with survey data.

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来源期刊
CiteScore
2.90
自引率
5.00%
发文量
136
审稿时长
>12 weeks
期刊介绍: Series A (Statistics in Society) publishes high quality papers that demonstrate how statistical thinking, design and analyses play a vital role in all walks of life and benefit society in general. There is no restriction on subject-matter: any interesting, topical and revelatory applications of statistics are welcome. For example, important applications of statistical and related data science methodology in medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport all fall within the journal''s remit. The journal is therefore aimed at a wide statistical audience and at professional statisticians in particular. Its emphasis is on well-written and clearly reasoned quantitative approaches to problems in the real world rather than the exposition of technical detail. Thus, although the methodological basis of papers must be sound and adequately explained, methodology per se should not be the main focus of a Series A paper. Of particular interest are papers on topical or contentious statistical issues, papers which give reviews or exposés of current statistical concerns and papers which demonstrate how appropriate statistical thinking has contributed to our understanding of important substantive questions. Historical, professional and biographical contributions are also welcome, as are discussions of methods of data collection and of ethical issues, provided that all such papers have substantial statistical relevance.
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