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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
Sun Feb 01 2026
Journal Name
Journal Of The College Of Basic Education
A comparative study between students of smokers and non-smokers in endurance antenna
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Fri Oct 01 2021
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Journal Of Engineering
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Publication Date
Thu Mar 20 2025
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Publication Date
Fri Mar 01 2013
Journal Name
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Measure and Analyze the Problems of Concrete Mixture Production via Six Sigma DMAIC Tools: Central Concrete Mix Plant as a Case Study
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The aims of this study are to measure the defect rate and analyze the problems of production of ready concrete mixture plant by using Six Sigma methodology which is a business strategy for operations improvement depending basically on the application of its sub-methodology DMAIC improvement cycle and the basic statistical tools where the process sigma level of concrete production in the case study was 2.41 σ.

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Publication Date
Sun Sep 01 2019
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Publication Date
Sun Nov 01 2020
Journal Name
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Improve topic modeling algorithms based on Twitter hashtags
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Abstract<p>Today with increase using social media, a lot of researchers have interested in topic extraction from Twitter. Twitter is an unstructured short text and messy that it is critical to find topics from tweets. While topic modeling algorithms such as Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) are originally designed to derive topics from large documents such as articles, and books. They are often less efficient when applied to short text content like Twitter. Luckily, Twitter has many features that represent the interaction between users. Tweets have rich user-generated hashtags as keywords. In this paper, we exploit the hashtags feature to improve topics learned</p> ... Show More
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