Political Internet Memes (PIMs) and Information: a multimethod approach

政治互联网模因 (PIM) 和信息：多方法方法

• 批准号: 2439906
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2439906
• 关键词: Political; Internet; Memes; PIMs; Information

I'm Giovanni Schiazza, a PhD researcher at the University of Nottingham with the Horizon CDT. I have a BA in Politics and International Relations and an MSc in Political Psychology. Before the PhD, my research revolved around understanding the impacts of Internet Memes on political knowledge and piloting a meme engagement scale to explore its structure in relation to individual differences.My PhD research focuses on responsibly developing a tool to support internet meme researchers from a diverse range of disciplines and backgrounds. The literature on tools for the analysis of memes is increasing (for an overview see Beskow et al., 2020) suggesting that a fully automated analysis of IMs can be performed. Different machine learning techniques have been employed, on different types of memes and media formats. There is yet to emerge a tool for the analysis of internet memes that reflects the needs of different researchers. One of the main problems in Internet Meme (IM) research is the lack of systematic tools and frameworks that researchers can use to analyse IMs. To address this gap in the literature, this PhD proposes to create a tool (Meta-Meme) for analysis that combines statistical techniques with machine learning. Meta-Meme helps researchers establish a conventional way to start the analysis based on aggregate IM data.To ensure the value and responsibility of the tool, I employ a Responsible Research and Innovation (RRI) approach to conducting science and research.As part of RRI research, I am inviting meme experts and researchers to take part in workshops and interviews to responsibly co-create notions, concepts, and opinions on memes that will directly inform the design of the tool.By co-producing the tool's building blocks with the interested communities, we ensure that Meta-Meme is accessible to a diverse range of researchers with different backgrounds, research approaches, and understandings of memes.The co-production workshops will run between May and August 2024, and interviews will be available throughout 2024. Delphi methodology will be employed during the co-production efforts to structure, collect and ensure fairness when sharing opinions and understandings of internet memes. Workshops or interviews employ Delphi methodology which involves expert selection, anonymity, generation, aggregation and evaluation of participant statements and ratings. The findings of the PhD will help develop the proof of concept of the tool, as well as serving as an RRI case study from which to draw guidelines for other researchers wishing to employ RRI in their research and innovation processes. Sounds interesting? Want to help? Don't like this? Tell us!Head over to my website to participate!

我是乔瓦尼·斯基阿扎，诺丁汉大学地平线CDT的博士研究员。我拥有政治与国际关系学士学位和政治心理学硕士学位。在攻读博士学位之前，我的研究围绕着理解互联网模因对政治知识的影响，并尝试使用模因参与量表来探索其与个体差异的关系。我的博士研究重点是负责任地开发一种工具，以支持来自不同学科和背景的互联网模因研究人员。关于模因分析工具的文献越来越多（概述见Beskow et al.，2020），这表明可以执行IM的全自动分析。不同类型的模因和媒体格式采用了不同的机器学习技术。目前还没有出现一种能够反映不同研究者需求的网络模因分析工具。互联网模因研究的主要问题之一是缺乏系统的工具和框架，研究人员可以用来分析IM。为了解决文献中的这一差距，这位博士提出创建一种将统计技术与机器学习相结合的分析工具（元模因）。Meta-Meme帮助研究人员建立了一种基于聚合IM数据的传统分析方法。为了确保该工具的价值和责任，我采用了负责任的研究和创新（RRI）方法进行科学研究。作为RRI研究的一部分，我邀请meme专家和研究人员参加研讨会和访谈，以负责任的方式共同创造概念，概念，以及对模因的意见，这些意见将直接影响工具的设计。通过与感兴趣的社区共同制作工具的构建模块，我们确保具有不同背景，研究方法和对模因的理解的各种研究人员都可以使用Meta-Meme。联合制作研讨会将于2024年5月至8月举行，采访将在2024年全年进行。在合作制作过程中将采用德尔菲方法，以构建、收集和确保在分享对互联网模因的意见和理解时的公平性。讲习班或访谈采用德尔菲方法，其中涉及专家选择、匿名、生成、汇总和评估参与者陈述和评级。博士的研究结果将有助于开发该工具的概念证明，并作为RRI案例研究，为希望在研究和创新过程中使用RRI的其他研究人员提供指导。听起来很有趣？想帮忙吗？不喜欢这个？告诉我们！到我的网站来参与吧！