DocumentCode :
2194948
Title :
Can #Twitter_Trends Predict Election Results? Evidence from 2014 Indian General Election
Author :
Khatua, Aparup ; Khatua, Apalak ; Ghosh, Kuntal ; Chaki, Nabendu
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Calcutta, Kolkata, India
fYear :
2015
fDate :
5-8 Jan. 2015
Firstpage :
1676
Lastpage :
1685
Abstract :
Extant literature finds that twitter trends can capture electoral sentiment. However, empirical evidences are ambiguous in nature. Thus, this study uses the context of 2014 Indian General Election to test the predictive power of Twitter in a large and politically diversified country. We have analyzed roughly 0.4 million tweets during the period March 15, 2014 to May 12, 2014. We observe that tweet volume as well as sentiment analysis can predict election results. We also find that sentiment scores can predict changes in vote share. We note that in a multi-party system the nationality of a party can be an important factor. However, these results should be interpreted with caution. We emphasize the relevance of contextual understanding for efficient data collection and analysis.
Keywords :
data analysis; government data processing; social networking (online); 2014 Indian general election; Twitter trend; data analysis; data collection; election result prediction; electoral sentiment analysis; multiparty system; tweet volume; vote share; Context; Government; Market research; Media; Nominations and elections; Sentiment analysis; Twitter; Election; India; Social Media; Twitter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
ISSN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2015.202
Filename :
7070012
Link To Document :
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