Title:
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REDDIT SENTIMENT ANALYSIS TO IMPROVE
ELECTION PREDICTIONS |
Author(s):
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Bryant Hwang |
ISBN:
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978-989-8533-92-0 |
Editors:
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Ajith P. Abraham and Jörg Roth |
Year:
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2019 |
Edition:
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Single |
Keywords:
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Sentiment Analysis, Election Prediction, Social Media, Reddit, Aylien |
Type:
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Short Paper |
First Page:
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204 |
Last Page:
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208 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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Despite high rates of past success, the majority of polling agencies were unable to predict the outcome of the 2016 United
States presidential election between Hillary Clinton and Donald Trump. Further research has hypothesized that these
agencies underestimated the amount of support for Trump and overestimated the representation of recent college graduates.
Sentiment analysis of posts on popular social media sites presents promising possibilities for better gauging public opinion.
In our research, we analyze positive and negative sentiment in Reddit posts from key dates during the 2016 election that
mention either candidate. The results of our study match the results of a poll conducted by the New York Times, which
showed that public opinion for Trump tended to stay consistent while Clintons positive sentiment decreased over time. Our
study also shows that public opinion expressed on Reddit changed drastically in accordance to major events, like debates
and email controversies. Alone, our work in sentiment analysis does not produce statistically significant enough results to
predict the final outcome of an election, but having the ability to gauge public opinion through social networks is a powerful
way that polling agencies and researchers can strengthen their predictions in real time. |
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