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MAQSA: a system for social analytics on news

Published: 20 May 2012 Publication History

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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Cited By

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  • (2021)Blockchain-based solution for Demand Forecasting in Supply chain2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)10.1109/ICACFCT53978.2021.9837339(217-224)Online publication date: 16-Dec-2021
  • (2018)Real-Time Monitoring of Smart Campus and Construction of Weibo Public Opinion PlatformIEEE Access10.1109/ACCESS.2018.28837996(76502-76515)Online publication date: 2018
  • (2018)Multimodal Event Detection in Twitter Hashtag NetworksJournal of Signal Processing Systems10.1007/s11265-016-1151-490:2(185-200)Online publication date: 1-Feb-2018
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Information

Published In

cover image ACM Conferences
SIGMOD '12: Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
May 2012
886 pages
ISBN:9781450312479
DOI:10.1145/2213836
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 May 2012

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Author Tags

  1. interactive exploration
  2. sentiment analysis
  3. social media

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  • Demonstration

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SIGMOD/PODS '12
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SIGMOD '12 Paper Acceptance Rate 48 of 289 submissions, 17%;
Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

View all
  • (2021)Blockchain-based solution for Demand Forecasting in Supply chain2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)10.1109/ICACFCT53978.2021.9837339(217-224)Online publication date: 16-Dec-2021
  • (2018)Real-Time Monitoring of Smart Campus and Construction of Weibo Public Opinion PlatformIEEE Access10.1109/ACCESS.2018.28837996(76502-76515)Online publication date: 2018
  • (2018)Multimodal Event Detection in Twitter Hashtag NetworksJournal of Signal Processing Systems10.1007/s11265-016-1151-490:2(185-200)Online publication date: 1-Feb-2018
  • (2017)Real-Time Novel Event Detection from Social Media2017 IEEE 33rd International Conference on Data Engineering (ICDE)10.1109/ICDE.2017.157(1129-1139)Online publication date: Apr-2017
  • (2015)A Survey of Techniques for Event Detection in TwitterComputational Intelligence10.1111/coin.1201731:1(132-164)Online publication date: 1-Feb-2015
  • (2015)Towards sentiment analysis for historical textsDigital Scholarship in the Humanities10.1093/llc/fqv02731:4(762-772)Online publication date: 29-Jul-2015
  • (2014)AESTHETICSProceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2661835(2018-2020)Online publication date: 3-Nov-2014
  • (2014)Examining Wikipedia across linguistic and temporal bordersProceedings of the 23rd International Conference on World Wide Web10.1145/2567948.2576931(445-450)Online publication date: 7-Apr-2014
  • (2013)Real-time recommendation of diverse related articlesProceedings of the 22nd international conference on World Wide Web10.1145/2488388.2488390(1-12)Online publication date: 13-May-2013
  • (2012)Opinions network for politically controversial topicsProceedings of the first edition workshop on Politics, elections and data10.1145/2389661.2389668(15-22)Online publication date: 2-Nov-2012

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