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EMPLOYING TWITTER IN THE U.S. PRESIDENTIAL ELECTION CAMPAIGN IN 2016: U.S. PRESIDENTIAL CANDIDATE DONALD TRUMP’S TWEETS AS A “MODEL”: (A Research Drawn from a Master’s Thesis) (An Analytical Study)
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This study aimed to identify the employment of the social networking platform «Twitter» in the 2016 presidential campaign led by the Republican candidate, Donald Trump; and analyse his tweets through his personal account on «Twitter»  for the period from: 10/ 8/2016 to: 11/ 8/2016 which represents the last month of the election campaign.

The study belongs to the type of descriptive studies using the analytical method through an analysis index that includes sub-categories and other secondary categories. The research has adopted the ordinary unit of information material (tweet) as an analysis unit for this purpose.

The validity of the tool was verified by a precise definition of the units of analysis and the analysis tool was presented to a group of experts for arbitration. The Holistic Equation was, in addition, used to verify the reliability of the analysis tool.

The results showed that the field of elections is the most focused area on which President Trump focused. The domestic policy issues came second, while the content of encouraging participation in the elections came out the contents covered by the tweets. Accusations of corruption by Trump against his Democratic opponent, Hillary Clinton, came second in the category of contents.

As for the targeted parties, the study showed that the American voters are the most targeted group followed by the personality of Hillary Clinton. In the category of techniques, it appeared that the technique of encouragement is the most used. Then, it was followed by the technique of criticism. As for the means of support, it was noted that the most used was the image, then the websites link.

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Publication Date
Thu Jul 01 1999
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
A new species of grape-nune leafhopper of the genus Arboridia Zakhvathin (Homoptera : Cicadellidae) from Iraq
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Publication Date
Mon Jun 01 2020
Journal Name
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Impact of Twitter Sentiment Related to Bitcoin on Stock Price Returns
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Twitter is becoming an increasingly popular platform used by financial analysts to monitor and forecast financial markets. In this paper we investigate the impact of the sentiments expressed in Twitter on the subsequent market movement, specifically the bitcoin exchange rate. This study is divided into two phases, the first phase is sentiment analysis, and the second phase is correlation and regression. We analyzed tweets associated with the Bitcoin in order to determine if the user’s sentiment contained within those tweets reflects the exchange rate of the currency. The sentiment of users over a 2-month period is classified as having a positive or negative sentiment of the digital currency using the proposed CNN-LSTM

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Wed Dec 01 2021
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Wed Mar 23 2022
Journal Name
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The level of evaluation of the educational counselors ’performance as a predictor of their level of satisfaction with their evaluation
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