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Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II

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Event-Based Multi-Model Classification to Assess the User Participation Levels on Twitter

Author(s): A. Lavanya*, Darsha Panwar, Jaime Lloret, Waqas Ali, Digvijay Pandey, Sagar Pathare, Anik Biswas, Vibhor Sehgal, Sai Harsh Tondomkar and Mihir Rane

Pp: 76-120 (45)

DOI: 10.2174/9789815036398122010008

* (Excluding Mailing and Handling)

Abstract

Social network and microblogging have become prominent mediums of
communication for personal and commercial prospects. Twitter outstands the race,
becoming the most popular platform for sharing information. It has helped facilitate
long-distance communications between people. A media person can converse with a
random person from a distant location and vice versa via Twitter. During events like
elections, Oscar awards, earthquakes, terrorist attacks, and other disasters and
entertainment occasions, the crowd gathers to share opinions, debate, review, support,
and participate in the virtual world. This paper has classified crowd participation in a
couple of events and types of users' participation levels in multiple dimensions in the
context of those events.

Keywords: Communication, Crowd participation, Crowdsource, Disasters, Earthquakes, Elections, Entertainment, Media person, Microblogging, Multimodel, Multiple dimensions, Nser participation, Online communication, Online media, Oscar awards, Participation levels, Social media, Social network, Terrorist attacks, Tweet, Twitter, Users, Virtual world.

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