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Social Media and Electoral Predictions: A meta-analytic review
Marko M. Skoric
*
,
Jing Liu
, Kokil Jaidka
*
Corresponding author for this work
Department of Accountancy, Economics and Finance
Research output
:
Chapter in book/report/conference proceeding
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Conference proceeding
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peer-review
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Keyphrases
Structural Features
100%
Content Features
100%
Meta-analytic Review
100%
Social Media Prediction
100%
Election Prediction
100%
Prediction Accuracy
50%
Performance Prediction
50%
Social Media Data
50%
Survey Research
50%
Social Media Posts
50%
Political Elections
50%
Lag behind
50%
Prediction Quality
50%
Traditional Survey Methods
50%
Electoral Outcomes
50%
Machine Learning-based Approach
50%
Social Sciences
Variance
100%
Survey Research
100%
Agricultural and Biological Sciences
Learning System
100%
Machine Learning
100%
Economics, Econometrics and Finance
Machine Learning
100%