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kaggle-ho-031640House Oversight

Internal email discussing predictive social‑media model for 2016 election

Internal email discussing predictive social‑media model for 2016 election The passage contains a casual discussion of a data‑driven election‑prediction tool and mentions a possible link to Clinton’s FBI clearance spike, but provides no concrete names, transactions, or actionable leads. It lacks novelty and does not implicate high‑ranking officials in wrongdoing. Key insights: Zubair Khan claims their model correctly predicted Trump’s win based on social‑media data.; Mentions a spike in Clinton’s positive sentiment after an FBI clearance.; Discusses potential use of the tool for future elections (France, Brazil).

Date
Unknown
Source
House Oversight
Reference
kaggle-ho-031640
Pages
1
Persons
13
Integrity
No Hash Available

Summary

Internal email discussing predictive social‑media model for 2016 election The passage contains a casual discussion of a data‑driven election‑prediction tool and mentions a possible link to Clinton’s FBI clearance spike, but provides no concrete names, transactions, or actionable leads. It lacks novelty and does not implicate high‑ranking officials in wrongdoing. Key insights: Zubair Khan claims their model correctly predicted Trump’s win based on social‑media data.; Mentions a spike in Clinton’s positive sentiment after an FBI clearance.; Discusses potential use of the tool for future elections (France, Brazil).

Persons Referenced (13)

Donald Trump

spike after she got clearance from FBI. However Trump dominated the social media positively if we analy

Eric Trump

spike after she got clearance from FBI. However Trump dominated the social media positively if we analy

Blaine Trump

spike after she got clearance from FBI. However Trump dominated the social media positively if we analy

Melania Trump

spike after she got clearance from FBI. However Trump dominated the social media positively if we analy

Zubair Khan

[email protected]] Sent: 11/11/2016 5:29:35 AM To: Zubair Khan Subject: Re: Importance: High New York ? How ?

Hasnat Khan

ail.com] Sent: 11/11/2016 5:29:35 AM To: Zubair Khan Subject: Re: Importance: High New York ? How ?

Bill Clinton

last report, analyzed data was of 3 days in which Clinton got a positive spike after she got clearance fro

Robert Trump

spike after she got clearance from FBI. However Trump dominated the social media positively if we analy

Larry Page

nths. Based on this we predicted on our Facebook page on 30th October that Trump will be next president

Chelsea Clinton

last report, analyzed data was of 3 days in which Clinton got a positive spike after she got clearance fro

Ivanka Trump

spike after she got clearance from FBI. However Trump dominated the social media positively if we analy

Ivana Trump

spike after she got clearance from FBI. However Trump dominated the social media positively if we analy

Hillary Clinton

last report, analyzed data was of 3 days in which Clinton got a positive spike after she got clearance fro

Tags

kagglehouse-oversightelection-predictionsocial-media-analyticsdata-sciencecybersecurity

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From: jeffrey E. [[email protected]] Sent: 11/11/2016 5:29:35 AM To: Zubair Khan Subject: Re: Importance: High New York ? How ? It was hillary no doubt always On Friday, 11 November 2016, Zubair Khan <> wrote: Out of 13 states we got 11 right. The ones we got wrong are NY and WI. In the last report, analyzed data was of 3 days in which Clinton got a positive spike after she got clearance from FBI. However Trump dominated the social media positively if we analyze one week data before starting time of election, monthly data and entire data which we have gathered for months. Based on this we predicted on our Facebook page on 30th October that Trump will be next president of US. Our model works but I think the important question which we failed to answer is that how much historic data must be analyzed to make the right decision. This could have been answered if we had a Data Scientist. Also I believe its a great tool to track voters and get them to vote. It can be used in French elections next year or elections of Brazil in 2018 but unfortunately I have to shut down this project as getting data from Twitter is expensive and the start up is running out of money. I am going to focus on cyber security again and will definitely reach out if I have a powerful investable idea. Regards, Zubair Khan On Nov 11, 2016, at 4:49 AM, jeffrey E. <[email protected]> wrote: not so good please note The information contained in this communication is confidential, may be attorney-client privileged, may constitute inside information, and is intended only for the use of the addressee. It is the property of JEE Unauthorized use, disclosure or copying of this communication or any part thereof is strictly prohibited and may be unlawful. If you have received this communication in error, please notify us immediately by return e-mail or by e-mail to [email protected], and destroy this communication and all copies thereof, including all attachments. copyright -all rights reserved please note The information contained in this communication is confidential, may be attorney-client privileged, may constitute inside information, and is intended only for the use of the addressee. It is the property of JEE Unauthorized use, disclosure or copying of this communication or any part thereof is strictly prohibited and may be unlawful. If you have received this communication in error, please notify us immediately by return e-mail or by e-mail to [email protected], and destroy this communication and all copies thereof, including all attachments. copyright -all rights reserved From: jeffrey E. [[email protected]] Sent: 11/11/2016 5:29:35 AM To: Zubair Khan a | Subject: Re: Importance: — High New York ? How ? It was hillary no doubt always On Friday, 11 November 2016, Zubair Khan {a wrote: Out of 13 states we got 11 right. The ones we got wrong are NY and WI. In the last report, analyzed data was of 3 days in which Clinton got a positive spike after she got clearance from FBI. However Trump dominated the social media positively if we analyze one week data before starting time of election, monthly data and entire data which we have gathered for months. Based on this we predicted on our Facebook page on 30th October that Trump will be next president of US. Our model works but I think the important question which we failed to answer is that how much historic data must be analyzed to make the right decision. This could have been answered if we had a Data Scientist. Also I believe its a great tool to track voters and get them to vote. It can be used in French elections next year or elections of Brazil in 2018 but unfortunately I have to shut down this project as getting data from Twitter is expensive and the start up is running out of money. I am going to focus on cyber security again and will definitely reach out if I have a powerful investable idea. Regards, Zubair Khan On Nov 11, 2016, at 4:49 AM, jeffrey E. <[email protected]> wrote: not so good please note The information contained in this communication is confidential, may be attorney-client privileged, may constitute inside information, and is intended only for the use of the addressee. It is the property of JEE Unauthorized use, disclosure or copying of this communication or any part thereof is strictly prohibited and may be unlawful. If you have received this communication in error, please notify us immediately by return e-mail or by e-mail to [email protected], and destroy this communication and all copies thereof, including all attachments. copyright -all rights reserved

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