MAQSA: A System for Social Analytics on News
Summary: MAQSA is a system for social analytics on news with an interactive topic-centric dashboard that summarizes articles and social activity (comments, tweets). It fuses time, location, and topic to produce timelines, sentiment maps, and a social graph for topic-driven exploration. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Sihem Amer-Yahia (Qatar Computing Research Institute)
- 2. Samreen Anjum (Qatar Computing Research Institute)
- 3. Amira Ghenai (Qatar Computing Research Institute)
- 4. Aysha Siddique (Qatar Computing Research Institute)
- 5. Sofiane Abbar (Qatar Computing Research Institute)
- 6. Sam Madden (Massachusetts Institute of Technology)
- 7. Adam Marcus (Massachusetts Institute of Technology)
- 8. Mohammed El-Haddad (Al Jazeera Network)
BibTeX Citation
@inproceedings{ameryahia_sigmod12,
title = {{MAQSA: A System for Social Analytics on News}},
author = {Amer-Yahia, Sihem and Anjum, Samreen and Ghenai, Amira and Siddique, Aysha and Abbar, Sofiane and Madden, Sam and Marcus, Adam and El-Haddad, Mohammed},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213924},
url = {https://dl.acm.org/doi/10.1145/2213836.2213924},
year = {2012}
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