Wei Wang , Haiwang Liu , Yenchun Jim Wu , Mark Goh
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引用次数: 0
摘要
自恋,作为一种对自我重要性或自我影响力的自我意识,可以表现为对成功的持续关注以及对权威、竞争力和冠冕堂皇的需求,这可能是为了提升项目的吸引力而引入的。本研究通过考虑公民项目所有者的社会角色(专家、学生和业余研究者),分析文本自恋对支持公民科学项目意愿的影响。本文使用社会角色理论来锚定自恋的七种形式,并提出了自恋的 9 个维度,然后将其分为 3 类:社会角色优势、心理优越感和身份渴望。利用网络爬虫将 850 个公民科学项目作为语料库。文本挖掘用于量化叙述,计量经济学模型用于估计文本自恋的影响。本研究报告指出,自恋呈现出倒 U 型效应。在社会角色方面,正式研究人员(专家和学生)对文本自恋的公众容忍度低于业余研究人员。通过将自恋影响和社会角色理论扩展到公民科学,本文可以指导科学实验平台等利益相关者和监管机构生成合适的文本描述,从而更好地调动研究资源。
Citizen science resource mobilization: Social identities and textual narcissism
Narcissism, as a form of self-awareness of self-importance or self-influence, can be characterized by a constant attention to success and the need for authority, competitiveness, and grandiose, which may be introduced to promote the attractiveness of a project. This study analyzes the effect of textual narcissism on the willingness to back citizen science projects by considering the social roles of the citizen project owners: expert, student, and amateur researchers. This paper uses social role theory to anchor the seven forms of narcissism and proposes 9 dimensions of narcissism, which are then classified into 3 categories: social role advantage, psychological superiority, and identity aspiration. Using a web crawler, 850 citizen science projects are employed as a corpus. Text mining is used to quantify the narratives, and econometric models are applied to estimate the effect of textual narcissism. This study reports that narcissism presents an inverted U-shaped effect. On social role, formal researchers (experts and students) receive lesser degrees of public tolerance to textual narcissism, over amateur researchers. By extending narcissistic influence and social role theory to citizen science, this paper can guide stakeholders and regulators such as scientific experiment platforms in generating suitable text descriptions for better research resource mobilization.
期刊介绍:
Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.