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Motivation to engage in crowdsourcing: Towards the synthetic psychological–sociological model
Digital Scholarship in the Humanities ( IF 1.299 ) Pub Date : 2021-03-08 , DOI: 10.1093/llc/fqab024
Jānis Daugavietis 1
Affiliation  

This article is aimed at analysis of user participation in web-based crowdsourcing projects in the digital humanities (DH) field, with a focus on what motivates these volunteers.1 The first aim of the article is a critical analysis of models of motivators for involvement offered to date. The analysis is based on a review of DH crowdsourcing literature, as a result of which there is an indication of shortcomings of the psychological data-driven approach that has dominated thus far. The second aim of the article is to offer a new model that synthesizes the psychological-motivation approach with a sociological one. Applying Pierre Bourdieu’s Theory of Capital, the motivation model created by the psychological self-determination theory (SDT) is supplemented with capital dimensions and specific types of capital. The new model is empirically tested, utilizing specific data collected in the course of a crowdsourcing project, specifically, volunteers’ online survey. The conclusion states that the model synthesized using the psychological and sociological approach preserves the main SDT category scale (intrinsic–extrinsic), at the same time, the sociological capital categories implemented therein permit for making more concrete the psychological scale’s ‘intermediate phase’ (internalized extrinsic motivations) that had been amorphous up to that point, rendering the motivation model more coherent and readily applied.

中文翻译:

参与众包的动机:走向综合心理-社会学模型

本文旨在分析数字人文 (DH) 领域基于网络的众包项目的用户参与情况,重点关注是什么激励了这些志愿者。 1 本文的第一个目的是对参与动机模型的批判性分析迄今为止提供。该分析基于对 DH 众包文献的回顾,结果表明迄今为止占主导地位的心理数据驱动方法存在缺陷。本文的第二个目的是提供一种将心理动机方法与社会学方法相结合的新模型。运用皮埃尔·布迪厄的资本理论,由心理自决理论(SDT)创建的动机模型补充了资本维度和特定的资本类型。新模型经过实证检验,利用在众包项目过程中收集的特定数据,特别是志愿者的在线调查。结论表明,使用心理学和社会学方法综合的模型保留了主要的 SDT 类别量表(内在 - 外在),同时,其中实施的社会学资本类别允许更具体的心理量表的“中间阶段”(内化外在动机)到那时为止一直是无定形的,从而使动机模型更加连贯且易于应用。
更新日期:2021-03-08
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