Abstract
In this paper a network-oriented computational model is presented for voting intentions over time specifically for the race between Donald Trump and Hillary Clinton in the 2016 US presidential election. The focus was on the role of social and mass communication media and the statements made by Donald Trump or Hillary Clinton during their speeches. The aim was to investigate the influence on the voting intentions and the final voting. Sentiment analysis was performed to check whether the statements were high or low in language intensity. Simulation experiments using parameter tuning were compared to real world data (3 election polls until the 8th of November).
| Original language | English |
|---|---|
| Title of host publication | Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017 |
| Editors | F De la Prieta |
| Publisher | Springer |
| Pages | 3-15 |
| Number of pages | 13 |
| Publication status | Published - 21 Jun 2017 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Publisher | Springer |
| Volume | 619 |
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Cite this
Goedschalk, L., Treur, J., & Verwolf, R. (2017). A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election. In F. De la Prieta (Ed.), Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017 (pp. 3-15). (Advances in Intelligent Systems and Computing; Vol. 619). Springer.