MAQSA: a system for social analytics on news

Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data Pub Date : 2012-05-20 DOI:10.1145/2213836.2213924

S. Amer-Yahia, Samreen Anjum, Amira Ghenai, Aysha Siddique, Sofiane Abbar, S. Madden, Adam Marcus, Mohammed El-Haddad

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引用次数: 28

Abstract

We present MAQSA, a system for social analytics on news. MAQSA provides an interactive topic-centric dashboard that summarizes news articles and social activity (e.g., comments and tweets) around them. MAQSA helps editors and publishers in newsrooms understand user engagement and audience sentiment evolution on various topics of interest. It also helps news consumers explore public reaction on articles relevant to a topic and refine their exploration via related entities, topics, articles and tweets. Given a topic, e.g., "Gulf Oil Spill," or "The Arab Spring", MAQSA combines three key dimensions: time, geographic location, and topic to generate a detailed activity dashboard around relevant articles. The dashboard contains an annotated comment timeline and a social graph of comments. It utilizes commenters' locations to build maps of comment sentiment and topics by region of the world. Finally, to facilitate exploration, MAQSA provides listings of related entities, articles, and tweets. It algorithmically processes large collections of articles and tweets, and enables the dynamic specification of topics and dates for exploration. In this demo, participants will be invited to explore the social dynamics around articles on oil spills, the Libyan revolution, and the Arab Spring. In addition, participants will be able to define and explore their own topics dynamically.

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MAQSA:一个新闻社会分析系统

我们介绍MAQSA，一个新闻社会分析系统。MAQSA提供了一个交互式的以主题为中心的仪表板，它总结了新闻文章和围绕它们的社会活动(例如，评论和tweet)。MAQSA帮助新闻编辑室的编辑和出版商了解用户参与和受众对各种主题感兴趣的情绪演变。它还帮助新闻消费者了解公众对某个主题相关文章的反应，并通过相关实体、主题、文章和推文来完善他们的探索。给定一个主题，例如“海湾石油泄漏”或“阿拉伯之春”，MAQSA结合三个关键维度:时间、地理位置和主题，围绕相关文章生成详细的活动仪表板。仪表板包含带注释的评论时间轴和评论的社交图。它利用评论者的位置来构建世界各地评论情绪和话题的地图。最后，为了方便探索，MAQSA提供了相关实体、文章和tweet的列表。它通过算法处理大量的文章和推文，并支持主题和日期的动态规范，以供探索。在这个演示中，参与者将受邀探索有关石油泄漏、利比亚革命和阿拉伯之春等文章的社会动态。此外，参与者将能够动态地定义和探索自己的主题。

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 2012 ACM SIGMOD International Conference on Management of Data

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