Social Issue Emergence in the Hybrid Media System

混合媒体系统中社会问题的出现

• 批准号: 497105303
• 负责人: Professor Dr. Thorsten Quandt
• 金额: --
• 依托单位: Institut für Kommunikationswissenschaft (IfK)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/497105303?language=en
• 关键词: Social; Issue; Emergence; Hybrid; Media

o Wider research context / theoretical framework:This project investigates the phenomenon of “social issue emergence” (SIE) as illustrated by prominent hashtag campaigns like #metoo or #blacklivesmatter. These issues emerge in a hybrid media system (Chadwick 2017) where older and newer media logics interact: they first evolve in social media among net-savvy groups, harbor further potential for emotionalization, and offer starting points for a larger societal thematization. At a certain point of viral spread, the issues are picked up by traditional, professionalized news media and make their way into the societal mainstream. So far, the understanding of the phenomenon and its underlying logics have remained incomplete, as previous approaches either focus on macro effects, event properties or actors in the process as decisive factors– but typically in isolation.o Hypotheses/research questions /objectives:We assume that the overall process of SIE is driven by two (seemingly contradictory) parallel processes and their interactions: (a) viral spread of issues and (b) (partial) control by individuals and groups. In our project, we will study these processes in detail to achieve a deeper theoretical exploration as well as a better understanding of the inner logics of SIE based on empirical research and eventually develop and refine a general theoretical model of the phenomenon. Main research questions are: which groups participate in the hashtag debates in which stages and in which manner, and how do the contents of the debates change over time? How can SIE trajectories be represented and explained with the help of a multi-level computational model?o Approach/methods:First, we will focus on an in-depth theoretical classification and modeling of the phenomenon which takes into account the dynamic interplay of micro- and meso- interactions as well as macro-processes. Then, in order to empirically identify and analyze a wide range of SIE cases, we combine guided in-depth interviews of involved actors with automated content analysis of social media, alternative media, and news. A special focus is on the longitudinal analyses of the data via time series and dynamic network analyses. The insights from the theoretical exploration and empirical studies will be integrated into an agent-based model (ABM) allowing to reconstruct and simulate the multi-level dynamics of SIE trajectories.o Level of originality / innovation:By combining innovative, cutting-edge methods of computational modeling and analysis with theoretical and empirical groundwork, we will develop a generalistic, dynamic, multi- level model of social issue emergence that will represent the characteristics of the phenomenon and its inner logics. The model will help to understand and predict future trajectories of social issue emergence.

o更广泛的研究背景 /理论框架：该项目调查了“社会问题出现”（SIE）的现象，如#MeToo或#BlackLivesMatter（例如#MeTOO或#BlackLivesMatter）所示。这些问题在混合媒体系统（Chadwick 2017）中出现，其中较旧的媒体逻辑相互作用：它们首先在社交媒体中在净精巧的群体中发展，具有进一步的情感化潜力，并为更大的社会主题提供了起点。在病毒传播的某个时刻，这些问题被传统的专业新闻媒体带入了社会主流。到目前为止，对现象及其基本逻辑的理解仍然不完整，因为先前的方法要么关注宏观效应，事件属性或参与者在过程中作为决定性因素，但通常是孤立的。由个人和团体。在我们的项目中，我们将详细研究这些过程，以实现更深入的理论探索，并更好地理解基于经验研究的SIE的内部逻辑，并最终发展和完善现象的一般理论模型。主要的研究问题是：哪些群体参与了标签辩论，以哪个阶段和哪种方式参与辩论的内容随时间变化？如何借助多级计算模型来表示和解释SIE轨迹？然后，为了凭经验识别和分析各种SIE案例，我们将参与者的深入访谈与社交媒体，替代媒体和新闻的自动内容分析相结合。特别重点是通过时间序列和动态网络分析对数据的纵向分析。理论探索和经验研究的见解将集成到基于代理的模型（ABM）中，以便重建和模拟SIE轨迹的多级动态。现象及其内在逻辑。该模型将有助于理解和预测社会问题出现的未来轨迹。