Event tracking literature based on Twitter does not have a state-of-the-art. What it does have
is a plethora of manual evaluation methodologies and inventive automatic alternatives …

Purpose India has the biggest number of active users on social media platforms, particularly
Twitter. The purpose of this paper is to examine public sentiment on COVID-19 vaccines and …

Users acting as real-time sensors post information about current events on various social
media sites like Twitter, Facebook, Instagram, and so on. This generates a huge amount of …

Social sensing is a new paradigm that inherits the main ideas of sensor networks and
considers the users as new sensor types. For instance, by the time the users find out that an …

This paper studies commonalities in response across disasters in online social networks
(OSNs), specifically Twitter. After presenting an algorithm for extracting vocabularies across …

This work presents RTTBurst, an end-to-end system for ingesting descriptions of user
interest profiles and discovering new and relevant tweets based on those interest profiles …

Humans first learn, then think and finally perform a task. Machines neither learn nor think,
but we still expect them to perform tasks as well as humans. In this position paper, we …

Social media is one of the most impactful and fastest communication methods. By monitoring
Twitter streams, we are able to detect emerging topics and understand events around the …

Humans observe, humans understand, and then, humans act, but machines only act. The
Topic Detection and Tracking (TDT) community realised, early on, that to accomplish its task …

Abstract In 1998, Topic Detection and Tracking (TDT), or event tracking, was only two years
old. By then, however, event tracking's pioneers had already realized that for algorithms to …