### Introduction

In this article, we delve into PollyVote's forecast for the popular vote outcome of the 2020 U.S. Presidential Election.

#### Data & Methodology

Our analysis relies on a unique dataset combining sentiment analysis from social media with economic forecasts and conventional polling data to predict election outcomes.

### Key Findings

• The model successfully predicted Joe Biden's victory over Donald Trump in the popular vote by leveraging an innovative combination of big data sources.

• It showed notable deviations from traditional forecasting methods, particularly regarding voter sentiment expressed online.

• The prediction held up remarkably well against actual polling data and conventional election models.

### Why This Matters

Understanding this multi-source approach helps refine predictive models in political science by demonstrating the value of incorporating digital public opinion indicators alongside standard metrics.

### Conclusion

This study highlights how novel methods like PollyVote can provide valuable insights into electoral behavior, complementing traditional survey-based approaches.