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

社交媒体中的跨国竞争性媒体事件——公众传播与预测力分析

• 批准号: 210149318
• 负责人: Professor Dr. Christoph Neuberger
• 金额: --
• 依托单位: Institut für Publizistik- und Kommunikationswissenschaft
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2012
• 资助国家: 德国
• 起止时间: 2011-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/210149318?language=en
• 关键词: Transnational; competitive; media; events; social

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.

基于该项目，通信科学（KW）和计算机科学（INF）的跨学科合作已经启动。参与的研究人员调查了动态的主题在公共传播在互联网上使用和结合自动化和手动的方法。“话题动态”是指话题的扩散和编辑。互联网为这一话题的动态性创造了新的条件，并且具有比传统公共媒体更高的透明度，简化了实证分析。主题动态的模式，首先检查使用从微博客服务Twitter（WP 1-6），这是适合于不同的技术和结构原因的分析收集的数据。通过使用关键字列表收集了关于各个主题的通信。根据这些数据，进行了自动和手动分析。在项目第二阶段（WP 7和8），观察范围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。在项目第三阶段（WP 9-13）的要求下，计划将研究扩展到两个方向：首先，观察将扩大到Facebook和博客。第二，分析跨国性、周期性竞争性赛事在三个社会子系统中的公众传播。根据这些数据，将为这些事件开发预测模型。