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The purpose of this study is to apply a corpus-assisted analysis of keywords and their collocations in the US presidential discourse from Clinton to Trump to discover the meanings of these words and the collocates they have. Keywords are salient words in a corpus whose frequency is unusually high (positive keywords) or low (negative keywords) in comparison with a reference corpus. Collocation is the co-occurrence of words.

To achieve this purpose, the investigation of keywords and collocations is generated by AntConc, a corpus processing software.

This analysis leads to shed light on the similarities and/or differences amongst the past four American presidents concerning their key topics. Keyword analysis through keyness makes it evident that Clinton and Obama, being Democrats, demonstrate a clear tendency to improve Americans’ life inside their social sphere. Obama surpasses Clinton as regard foreign affairs. Clinton and Obama’s infrequent subjects have to do with terrorism and immigration. This complies with their condensed focus on social and economic improvements. Bush, a republican, concentrates only on external issues. This is proven by his keywords signifying war against terrorism. Bush’s negative use of words marking cooperative actions conforms to his positive use of words indicating external war. Trump’s positive keywords are about exaggerated descriptions without a defined target. He also shows an unusual frequency in referring to his name and position. His words used with negative keyness refer to reforming programs and external issues. Collocations around each top content keyword clarify the word and harmonize with the presidential orientation negotiated by the keywords.

Limitations have to do with the issue of the accurate representation of the samples.

This research is original in its methodology of applying corpus linguistics tools in the analysis of presidential discourses.

This research is a critical discourse analysis (CDA) of Trump's speech on January 6, 2021, which results in his supporters' storming the US Capitol in order to challenge certifying Biden's victory. The Democrats accused Trump of incitement of insurrection. Consequently, Trump was impeached. This article investigates Trump's speech to label it as hate speech or free speech.

Analytical framework is tri-dimensional. The textual analysis is based on Halliday's notion of process types and Huckin's discourse tools of foregrounding and topicalization. The socio-cognitive analysis is based on Van Dijk's ideological square and his theory of mental models. The philosophical dimension is founded on Habermas's theory of discourse. These parameters are the cornerstones of the barometer that will be utilized to reach an objective evaluation of Trump's speech.

Findings suggest that Trump usually endows “I, We, You” with topic positions to lay importance on himself and his supporters. He frequently uses material process to urge the crowds' action. He categorizes Americans into two conflicting poles: He and his supporters versus the media and the Democrats. Mental models are created and activated so that the other is always negatively depicted. Reports about corruption are denied in court. Despite that, Trump repeats such reports. This is immoral in Habermas's terms. The study concludes that Trump delivered hate speech in order to incite the mob to act in a manner that may change the election results.

The study is original in its tri-dimensional framework and its data of analysis.

This study measures to what extent different factors including Islamic religious beliefs influenced Egyptian's voting behavior intentions in the last parliament elections, given the moderating effect of the media and its role in shaping the existence of the Islamic political brand in Egypt. The paper aims to discuss these issues.

Qualitative research was initially conducted to modify the Newman and Sheth model to fit the Egyptian culture. A final total of 401 Muslim citizens that participated in the last parliament elections were then surveyed via face-to-face interviews using a structured questionnaire.

Most factors related to voting for a specific candidate or party seemed to be important for voters' in their decision making, specifically personal events related to the candidate, candidate's image, current events surrounding the elections process, interest in issues and policies and religious beliefs that was added by the authors to the model. The media also had a high level of importance and influence over the relationship between some of the factors affecting voter's decision and voter's behavioral intentions. Overall, citizens demonstrated approach voting behavioral intentions towards the elections process and indicated that they would actively participate in the upcoming elections. Pearson correlations and further analysis were also run to investigate the nature of relationships between the factors understudy and voting behavioral intentions; most of which had significant relationships, as well as the significant role of the media. Some factors were excluded after running stepwise regression for testing the fitness of the model proposed.

Study covering the capital city of Egypt; Cairo only.

It has become important for politicians and governments to understand what are the genuine needs of their societies and what are citizens looking for in political candidates and parties. Political marketing and particularly understanding voting behavior is a booming area that has become an important tool for building political brands as witnessed by this research and how it was used by Islamists to reach voter's and affect their decision making.

This research paper sheds the light on a very contemporary area related to political marketing which is political campaigning and factors affecting voters' intentions given the significant role of candidate's religious beliefs. Furthermore, focusing on the rise of Islamic political parties that are actively becoming important members of the political landscape in the Arab region after a long time of undercover practice and struggle with previous governments before the Arab spring events.