Twitter Interactivity: Donald Trump's Key to Success in the 2016 Election

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Abstract/Contents

Abstract: The purpose of this paper is to share my original research regarding Trump’s success in the 2016 presidential race via interactivity on Twitter. The question that I aim to answer through my research is the following: Is it possible to predict the potential winners of future presidential elections by the amount of Twitter interactivity each candidate receives during the week of the election? Twitter interactivity is defined as the sum total of favorites, retweets, and replies to original tweets produced by candidates. My hypothesis is that an increase in retweets, favorites, and replies (interactivity) during election week leads to an increase in probability that the candidate will be elected President. In order to prove this, I added up the total number of retweets, favorites, and replies that each candidate had on their top ten tweets. I searched Twitter and harvested these top ten tweets for the time period during week of the election.

Type of resource	text
Date created	June 2017

Author	Lloyd, Dallas
Primary advisor	Iyengar, Shanto
Degree granting institution	Stanford University, Department of Communication

Location	https://purl.stanford.edu/kz563yg7490

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License: This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

Preferred Citation: Lloyd, Dallas (2017). Twitter Interactivity: Donald Trump's Key to Success in the 2016 Election. Stanford Digital Repository. Available at: http://purl.stanford.edu/kz563yg7490

Masters Theses in Media Studies, Department of Communication, Stanford University

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