Crowdsourcing as a method for indexing digital media

Authors:
Seyong Ha;Dongwhan Kim;Joonhwan Lee
Affiliations:
Seoul National University, Seoul, South Korea;Seoul National University, Seoul, South Korea;Seoul National University, Seoul, South Korea
Venue:
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Year:
2013

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Abstract

As people spend more time online, watching YouTube or playing games, a number of research studies arose in ways to make use of the time and energy from the crowd in doing such activities. In this paper, we have explored the possibility of converting the collective resources from the crowd in making useful information back to people. We collected posts from the online forums about soap operas on the air, and extracted instances when the name of characters in the play has been mentioned. These crowdsourced indexes become good search keywords to find the scenes where the characters mentioned in the posts appear.