TY - GEN
T1 - Facilitating analysis of audience reaction on social networks using content analysis
T2 - 18th International Conference on Posters’ Extended Abstracts, HCI International 2016
AU - Niklander, Stefanie
AU - Soto, Ricardo
AU - Crawford, Broderick
AU - De La Barra, Claudio León
AU - Olguíín, Eduardo
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such audience reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.
AB - Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such audience reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.
KW - Content analysis
KW - Mass media
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=84978250958&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-40542-1_10
DO - 10.1007/978-3-319-40542-1_10
M3 - Conference contribution
AN - SCOPUS:84978250958
SN - 9783319405414
T3 - Communications in Computer and Information Science
SP - 63
EP - 66
BT - HCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings
A2 - Stephanidis, Constantine
PB - Springer Verlag
Y2 - 17 July 2016 through 22 July 2016
ER -
