Journal
SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA
Volume -, Issue -, Pages 2765-2769Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3448016.3452751
Keywords
data mining; visualization; data-driven journalism; hyper-local news
Categories
Funding
- USC Integrated Media Systems Center
- Google [na1-734df8c47312]
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Generating hyper-local news at scale is challenging due to lack of available data and automated tools. Crosstown Foundry is a novel data-driven system that leverages a massive multi-modal dataset to generate personalized newsletters for readers in Los Angeles County.
Generating hyper-local news at scale is challenging because publicly available data is not provided at the desired spatial and temporal granularity. Besides, there is a lack of automated analytical and publishing tools. Crosstown Foundry, which is being actively developed and used by engineers and journalists, is a novel data-driven system that leverages a massive multi-modal dataset to generate personalized newsletters for Los Angeles County readers.
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