File 033175
Email: 2016 US Election Social Media Analysis Update (File 033175)
Email from Zubair Khan to Jeffrey Epstein dated October 13, 2016, providing social media sentiment analysis and electoral predictions for the 2016 US Presidential election following the second debate.
Summary
Zubair Khan reports analysis of 3.1 million tweets from the 2016 US election period, showing Donald Trump with 72.54% negative sentiment versus Hillary Clinton's 40.21% negative sentiment. The email includes electoral projections predicting Clinton's 72% winning chances compared to Trump's 28%, along with state-by-state predictions favoring Clinton in major states like California, Florida, and Ohio, with Trump favored only in Texas.
From: Zubair KhanSent: 10/13/2016 1:39:13 PMTo: jeffrey E. [jeeyacation@gmail.com]Subject: US Election UpdateImportance: HighHi Jeffrey,Since the start of 2nd US Presidential Election debate till now, we have processed 3.1 million tweets.Here is the performance of candidates:1. Donald Trump 11.80% (Positive), 15.66% (Neutral), 72.54% (Negative)2. Hillary Clinton 40.70% (Positive), 19.09% (Neutral), 40.21% (Negative)Winning Chances:1. Clinton 72%2. Trump 28%Winning chances in US States:1. Clinton: New York (84%), California (75%), North Carolina (64%), Florida (75%), Washington (52%), Ohio(96%), New Jersey (70%)2. Trump: Texas (66%)Regards,Zubair KhanHOUSE OVERSIGHT 033175