Social Issue Emergence in the Hybrid Media System

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等突出的标签活动所示。这些问题出现在一个混合媒体系统中（Chadwick 2017），新旧媒体逻辑相互作用：它们首先在社交媒体中在精通网络的群体中演变，具有进一步情感化的潜力，并为更大的社会主题化提供起点。在病毒式传播的某一点上，这些问题被传统的、专业化的新闻媒体报道，并进入社会主流。到目前为止，对这一现象及其内在逻辑的理解仍然是不完整的，因为以前的方法要么侧重于宏观效应、事件属性或过程中的行为者作为决定性因素--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）平行过程及其相互作用驱动的：（a）问题的病毒式传播和（B）个人和团体的（部分）控制。在我们的项目中，我们将详细研究这些过程，以实现更深层次的理论探索，以及更好地理解基于实证研究的SIE的内在逻辑，并最终发展和完善这一现象的一般理论模型。主要研究问题是：哪些群体在哪些阶段以何种方式参与主题辩论，辩论的内容如何随时间变化？如何在多层次计算模型的帮助下表示和解释SIE轨迹？o方法/途径：首先，我们将集中于对现象进行深入的理论分类和建模，其中考虑到微观和中观相互作用以及宏观过程的动态相互作用。然后，为了从经验上识别和分析广泛的SIE案例，我们将联合收割机引导的对参与者的深度访谈与社交媒体、替代媒体和新闻的自动内容分析相结合。一个特别的重点是通过时间序列和动态网络分析的数据的纵向分析。从理论探索和实证研究的见解将被整合到一个基于代理的模型（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：通过将创新，尖端的计算建模和分析方法与理论和实证基础相结合，我们将开发一个概括的，动态的，多层次的社会问题出现模型，该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。

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.