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Twittering Public Sentiments: a Predictive Analysis of Pre-Poll Twitter Popularity of Prime Ministerial Candidates for the Indian Elections 2014
- Author(s):
- KALYANI SURESH CHITRA RAMAKRISHNAN
- Editor(s):
- Jyotirmaya Patnaik (see profile)
- Date:
- 2015
- Group(s):
- Communication Studies, Cultural Studies, Digital Humanists, Feminist Humanities, Information Ecosystems
- Subject(s):
- Communication in politics, Social media, Social conflict--Political aspects, Journalism, Communication
- Item Type:
- Article
- Tag(s):
- Twitter analytics, Indian elections 2014, Modi, Kejriwal, Rahul Gandhi, sentiment analysis, Political communication, Political conflict
- Permanent URL:
- http://dx.doi.org/10.17613/vtat-6491
- Abstract:
- Twitter is a useful tool for predicting election outcomes, effectively complementing traditional opinion polling. This study undertakes a volume, sentiment and engagement analysis for predicting the popularity of Prime Ministerial candidates on Twitter as a run-up to the Indian Elections 2014. The results from a survey of 2,37,639 pre-poll tweets finds tweet volume as a significant predictor of candidate vote share, and volume and sentiments as predictors for candidate engagement levels. Higher engagement rates evolve from the horizontality of conversations about the candidate, therefore indicating a high degree of interactivity, but do not translate into a higher vote share.
- Metadata:
- xml
- Published as:
- Journal article
- Status:
- Published
- Last Updated:
- 2 years ago
- License:
- All Rights Reserved
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