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）现象，如 #metoo 或 #blacklivesmatter 等著名标签活动所说明的那样，这些问题出现在混合媒体系统中（Chadwick 2017），其中老年人和老年人都在其中。新的媒体逻辑相互作用：它们首先在精通网络的群体中在社交媒体中发展，蕴藏着进一步的情感化潜力，并为更大的社会主题化提供了起点。迄今为止，对这一现象及其背后逻辑的理解仍然不完整，因为之前的方法要么关注宏观效应、事件属性，要么关注过程中的参与者作为决定性因素。但通常是孤立的。 o 假设/研究问题/目标：我们假设 SIE 的整个过程是由两个（看似矛盾的）并行过程及其相互作用驱动的：（a）问题的病毒式传播和（b）（部分）控制由个人和在我们的项目中，我们将详细研究这些过程，以实现更深入的理论探索以及基于实证研究的对SIE内在逻辑的更好理解，并最终开发和完善该现象的通用理论模型。问题是：哪些群体在哪些阶段、以何种方式参与主题标签辩论，辩论的内容如何随时间变化？如何借助多级计算模型来表示和解释 SIE 轨迹？途径/方法：首先，我们将重点关注对现象的深入理论分类和建模，考虑微观和中观相互作用以及宏观过程的动态相互作用，然后，为了凭经验识别和分析各种 SIE 案例，我们将对相关参与者的引导式深度访谈与社交媒体、替代媒体和新闻的自动内容分析结合起来，特别关注通过时间序列和动态网络分析对数据进行纵向分析。实证研究将被整合到基于主体的模型中（ABM）允许重建和模拟 SIE 轨迹的多层次动态。 o 原创性/创新水平：通过将计算建模和分析的创新、尖端方法与理论和经验基础相结合，我们将开发一种通用的、动态的，社会问题出现的多层次模型将代表现象的特征及其内在逻辑，该模型将有助于理解和预测社会问题出现的未来轨迹。