TY - GEN
T1 - Characterizing the internet's sense of humor
AU - Mahapatra, Amogh
AU - Srivastava, Nisheeth
AU - Srivastava, Jaideep
PY - 2012
Y1 - 2012
N2 - In this paper, we report some results from the first internet content-based investigation of the underlying causes of humor. For this purpose, we developed a methodology for extracting semantic distance from tags associated with YouTube videos manually identified as humorous or not by their existing community of users. We found that a novel quantification of episodic incongruity, operationalized via our technique, proves to be a necessary but not sufficient condition for the existence of humor-inducing stimuli in associated videos. Our results represent the first internet-based validation of incongruity-based characterizations of humor, and open up exciting new theoretical and applied possibilities in the use of social computing to discover intrinsic factors responsible for human behaviors like humor, interest and engagement.
AB - In this paper, we report some results from the first internet content-based investigation of the underlying causes of humor. For this purpose, we developed a methodology for extracting semantic distance from tags associated with YouTube videos manually identified as humorous or not by their existing community of users. We found that a novel quantification of episodic incongruity, operationalized via our technique, proves to be a necessary but not sufficient condition for the existence of humor-inducing stimuli in associated videos. Our results represent the first internet-based validation of incongruity-based characterizations of humor, and open up exciting new theoretical and applied possibilities in the use of social computing to discover intrinsic factors responsible for human behaviors like humor, interest and engagement.
KW - Computational Model
KW - Humor
KW - Incongruity
UR - http://www.scopus.com/inward/record.url?scp=84873665289&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873665289&partnerID=8YFLogxK
U2 - 10.1109/SocialCom-PASSAT.2012.105
DO - 10.1109/SocialCom-PASSAT.2012.105
M3 - Conference contribution
AN - SCOPUS:84873665289
SN - 9780769548487
T3 - Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012
SP - 579
EP - 584
BT - Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012
T2 - 2012 ASE/IEEE International Conference on Social Computing, SocialCom 2012 and the 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2012
Y2 - 3 September 2012 through 5 September 2012
ER -