Transnational competitive media events in social media - Analysis of public communication and predictive power

在该项目的基础上，开展了传播科学(KW)和计算机科学(INF)的跨学科合作。研究人员使用自动和手动相结合的方法，调查了互联网上公共交流中话题的动态变化。“话题动态”指的是话题的传播和编辑。互联网为这一话题的动态创造了新的条件，并且比传统公共媒体具有更高的透明度，这简化了实证分析。首先使用从微博服务Twitter(WP1-6)收集的数据来考察话题动态模式，由于不同的技术和结构原因，该数据适合于分析。关于个别主题的交流是通过使用关键字列表收集的。根据这些数据，进行了自动和手动分析。在项目第二阶段(工作计划7和8)期间，观察区已扩展到专业新闻网站，使研究人员能够分析两个平台之间的引用和溢出效应。在要求继续项目(第三阶段，工作计划9-13)的背景下，计划将研究扩展到两个方向：第一，将在Facebook和博客上扩大观察范围。其次，对三个社会子系统中的跨国周期性竞技赛事的公共传播进行分析。根据这些数据，将为这些事件开发预测模型。

Based on the project an interdisciplinary cooperation of communication science (KW) and Computer Science (INF) has been initiated. The involved researchers investigated the dynamics of topics in public communication in the Internet by using and combining automated and manual methods. "Topic dynamics" refers to the diffusion and editing of topics. The Internet creates new conditions for this topic dynamics and has a higher transparency than traditional public media, which simplifies the empirical analysis. Patterns of topic dynamics were first examined using the data collected from the microblogging service Twitter (WP 1-6), which is suitable for the analysis for different technical and structural reasons. Communication about individual topics has been collected by using keyword lists. Based on these data automated as well as manual analyses have been conducted. During Project Phase 2 (WP 7 and 8) the observation area has been extended to professional journalistic sites, allowing the researchers to analyse references and spill-over effects between both platforms.In the context of the requested continuation of the project (phase 3, WP 9-13) ist is planned to extend the research into two directions: First, the observation will be expanded on Facebook and blogs. Second, public communication about transnational, periodic competitive events in three social subsystems will be analyzed. Based on the data, predictive models will be developed for these events.