ABSTRACT
This paper describes a method to identify events being vigorously discussed on social media and to present them in the form of a web-based daily magazine. Tweet texts and hyperlinked information sources, such as images and news articles, are analyzed to discover the events. The events are selected for presentation using an "interestingness factor", which combines several facets of the discussions surrounding the events. The events are correlated based on their content similarity.
Supplemental Material
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Index Terms
- TWIPIX: a web magazine curated from social media
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