What is it about?
Among the vast array of news discussions in tweets, few events are discussed extensively whereas other events do not seem to have much impact on the general public. We attempt to detect the amount of attention garnered by sub-events, on each day of a given timeframe.
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Why is it important?
A news event consists of multiple sub-events associated with it in its course. We attempt to identify the sub-events that have a high impact on the general public. This is important in monitoring the public response at the onset of different sub-events. This can enable government institutions to isolate sub-events that trigger tremendous public emotions and take mitigation plans towards such sub-events, if required.
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This page is a summary of: Temporal intensity modeling of sub‐events in microblogs, Concurrency and Computation Practice and Experience, December 2022, Wiley, DOI: 10.1002/cpe.7473.
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