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