MediaViz: An Interactive Visualization Platform for Online Media Studies

Proceedings of the 2015 International Workshop on Human-centric Independent Computing Pub Date : 2015-09-01 DOI:10.1145/2808469.2808474

Tiago Devezas, Sérgio Nunes, María Teresa Rodríguez

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引用次数: 5

Abstract

In this paper, we present the tools of the MediaViz project, a work-in progress platform that aims to provide researchers, academics and professionals from the media field with a set of analytical and exploratory resources to answer high level and complex questions about the online media panorama, in an efficient, visual and interactive way. Our approach consists of aggregating and processing news data from multiple online sources, and provide programatic access to it through an Application Programming Interface (API). The visualization tools leverage the data provided by the API, allowing users to interact, explore and interrogate that information. Through the use of data visualization techniques, we aim to characterize the publication patterns of multiple online news sources by analyzing and comparing distinct dimensions. Dimensions of interest include the frequency and flow of publications and social shares throughout time, and the geographic coverage of online news outlets. We present some of the developed visualization tools and describe how they can offer meaningful insights by providing a bird's-eye view of distinct characteristics of the online mediascape.

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MediaViz:在线媒体研究的交互式可视化平台

在本文中，我们介绍了MediaViz项目的工具，这是一个正在进行的平台，旨在为媒体领域的研究人员，学者和专业人士提供一套分析和探索性资源，以高效，可视化和互动的方式回答有关在线媒体全景的高层次和复杂问题。我们的方法包括聚合和处理来自多个在线来源的新闻数据，并通过应用程序编程接口(API)提供对其的编程访问。可视化工具利用API提供的数据，允许用户交互、探索和查询这些信息。通过使用数据可视化技术，我们旨在通过分析和比较不同的维度来表征多个在线新闻来源的发布模式。感兴趣的维度包括出版物和社交分享的频率和流量，以及在线新闻媒体的地理覆盖范围。我们介绍了一些已开发的可视化工具，并描述了它们如何通过提供在线媒体景观的不同特征的鸟瞰图来提供有意义的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2015 International Workshop on Human-centric Independent Computing

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