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

我是乔瓦尼·斯基亚扎，诺丁汉大学地平线CDT的博士生。我拥有政治和国际关系学士学位和政治心理学硕士学位。在攻读博士之前，我的研究围绕着了解网络模因对政治知识的影响，并试行了模因参与量表，以探索其与个体差异的结构。我的博士研究重点是负责任地开发一个工具，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正在增加(有关概述，请参阅Beskow等人，2020)，这表明可以对IMS进行完全自动化的分析。在不同类型的模因和媒体格式上使用了不同的机器学习技术。目前还没有出现一种分析互联网模因的工具来反映不同研究人员的需求。互联网模因(IM)研究中的主要问题之一是缺乏系统的工具和框架可供研究人员用来分析IM。为了弥补文献中的这一空白，本博士建议创建一种将统计技术与机器学习相结合的分析工具(Meta-Meme)。Meta-Meme帮助研究人员建立基于聚合IM数据的传统分析方法。为了确保工具的价值和责任，我采用负责任的研究和创新(RRI)方法进行科学和研究。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，以负责任地共同创造关于Meme的概念、概念和观点，这些概念、概念和观点将直接影响工具的设计。通过与感兴趣的社区共同生成工具的构建块，我们确保具有不同背景、研究方法、联合制作研讨会将于2024年5月至8月举行，采访将贯穿整个2024年。在联合制作过程中，将采用德尔菲方法来构建、收集和确保在分享对互联网表情包的意见和理解时的公平性。研讨会或面试采用德尔福方法，涉及专家选择、匿名、生成、汇总和评估参与者的陈述和评级。博士的发现将有助于开发该工具的概念证明，并作为RRI的案例研究，为其他希望在其研究和创新过程中使用RRI的研究人员提供指导方针。听起来很有趣？想帮忙吗？不喜欢这个吗？告诉我们！来我的网站参与吧！

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!