MAQSA

A system for social analytics on news

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
Pages653-656
Number of pages4
DOIs
Publication statusPublished - 28 Jun 2012
Event2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12 - Scottsdale, AZ, United States
Duration: 21 May 201224 May 2012

Other

Other2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12
CountryUnited States
CityScottsdale, AZ
Period21/5/1224/5/12

Fingerprint

Oil spills
Specifications

Keywords

  • interactive exploration
  • sentiment analysis
  • social media

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Amer-Yahia, S., Anjum, S., Ghenai, A., Siddique, A., Abbar, S., Madden, S., ... El-Haddad, M. (2012). MAQSA: A system for social analytics on news. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 653-656) https://doi.org/10.1145/2213836.2213924

MAQSA : A system for social analytics on news. / Amer-Yahia, Sihem; Anjum, Samreen; Ghenai, Amira; Siddique, Aysha; Abbar, Sofiane; Madden, Sam; Marcus, Adam; El-Haddad, Mohammed.

Proceedings of the ACM SIGMOD International Conference on Management of Data. 2012. p. 653-656.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Amer-Yahia, S, Anjum, S, Ghenai, A, Siddique, A, Abbar, S, Madden, S, Marcus, A & El-Haddad, M 2012, MAQSA: A system for social analytics on news. in Proceedings of the ACM SIGMOD International Conference on Management of Data. pp. 653-656, 2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12, Scottsdale, AZ, United States, 21/5/12. https://doi.org/10.1145/2213836.2213924
Amer-Yahia S, Anjum S, Ghenai A, Siddique A, Abbar S, Madden S et al. MAQSA: A system for social analytics on news. In Proceedings of the ACM SIGMOD International Conference on Management of Data. 2012. p. 653-656 https://doi.org/10.1145/2213836.2213924
Amer-Yahia, Sihem ; Anjum, Samreen ; Ghenai, Amira ; Siddique, Aysha ; Abbar, Sofiane ; Madden, Sam ; Marcus, Adam ; El-Haddad, Mohammed. / MAQSA : A system for social analytics on news. Proceedings of the ACM SIGMOD International Conference on Management of Data. 2012. pp. 653-656
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