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Analysis of Results The Effect of Twitter’s influence during the 2020 U.S. Presidential Election
Analysis of Results: The Effect of Twitter’s influence during the 2020 U.S. Presidential Election
Sydney Brown
Bethune-Cookman University
POL 499 Senior Seminar
Dr. Dorcas E. McCoy
November 18, 2021
Analysis of Results
This study investigated the impact of Twitter’s influence on the sample pool of female undergraduate students at Bethune-Cookman University. It examined the internal focus on the female student’s political engagement and the voter turnout during the 2020 Presidential Election. The instruments used were a series of questionnaires and interviews on the subjects. This study is a research mix between qualitative and quantitative methods. This research hypothesized that Twitter’s platform has an impact on female undergraduate students’ voting behavior during the 2020 Presidential Election. The independent variable is Twitter. The dependent variable is female undergraduate students’ voting behavior during the 2020 Presidential Election at Bethune-Cookman University.
Twitter is one of the social media platforms people use to voice their opinion and vote for politicians that would run this country effectively. Presidential campaign managers incorporate hashtags and create Twitter accounts to their method of citizens voting in favor of their candidate. Studies and statistics evaluated and analyzed how the political interaction students have when they use Twitter based on their political ideology and personal interest. In this investigation, female undergraduate students at Bethune-Cookman University were targeted to understand their voting behavior during the 2020 U.S. Presidential Election. This study emphasized the importance of Twitter influencing student political engagement. There were 40 respondents and 2 interviewers that were a part of this study and had a 99% completion rate.
3152140273685Based on the subjects that were examined there was an age range of 18-28. The age range with a higher percentage in subjects were 21-24. The median age range of subjects were 18-20.
00Based on the subjects that were examined there was an age range of 18-28. The age range with a higher percentage in subjects were 21-24. The median age range of subjects were 18-20.
-723900889000This model examined 85% of the subject having a Twitter account. Most of the subject are currently use Twitter as one of their social media platforms.
00This model examined 85% of the subject having a Twitter account. Most of the subject are currently use Twitter as one of their social media platforms.
3070225166370Module 1 this study shows that Democrats are on Twitter more than other political parties, which was found on the female undergraduate students on Bethune-Cookman University campus.
As you can see in the model many of the subjects were Democrats. There was a higher percentage of subjects who were not affiliated with any political party than those who were Republicans and Independents. 62% of the subjects were Democrats, which won the majority vote in the 2020 U.S. Presidential Election. 26% of the subjects were not associated with any political involvement. 10% of the subjects were a part of the independent party. 3% of the subjects were a Republican.
00Module 1 this study shows that Democrats are on Twitter more than other political parties, which was found on the female undergraduate students on Bethune-Cookman University campus.
As you can see in the model many of the subjects were Democrats. There was a higher percentage of subjects who were not affiliated with any political party than those who were Republicans and Independents. 62% of the subjects were Democrats, which won the majority vote in the 2020 U.S. Presidential Election. 26% of the subjects were not associated with any political involvement. 10% of the subjects were a part of the independent party. 3% of the subjects were a Republican.
-478790887730Many of the subjects voted during the U.S. presidential election. As shown above, 77% of the subjects participated whereas 23% of the subjects did not vote. The voter turnout of the youth increased from the 2016 election by 39% (Tuff, 2021)
00Many of the subjects voted during the U.S. presidential election. As shown above, 77% of the subjects participated whereas 23% of the subjects did not vote. The voter turnout of the youth increased from the 2016 election by 39% (Tuff, 2021)
3581400849630As a collective whole, the subjects agreed the social media platform has evolved beyond its realms by being utilized for various purposes such as news, online shopping, and business promotions and expanding people’s perception of the world.
00As a collective whole, the subjects agreed the social media platform has evolved beyond its realms by being utilized for various purposes such as news, online shopping, and business promotions and expanding people’s perception of the world.
-532765936625Many of the subjects believed Twitter had an influence on female undergraduate students’ voting behavior during the 2020 U.S. Presidential Election because Twitter has been used as a platform for current political events such as elections.
00Many of the subjects believed Twitter had an influence on female undergraduate students’ voting behavior during the 2020 U.S. Presidential Election because Twitter has been used as a platform for current political events such as elections.
3329940664210As you can see in the model above, 90% of the subjects answered the question on the survey they are Twitter users and either always, usually, sometimes, or rarely use the social media platform. 10% of the subjects answered they never used Twitter.
00As you can see in the model above, 90% of the subjects answered the question on the survey they are Twitter users and either always, usually, sometimes, or rarely use the social media platform. 10% of the subjects answered they never used Twitter.
-2597151560195As you can see on the model above, 88% of the subjects see political advertisement on their Twitter’s news feed when they utilize their platform. 12% of the subjects always see political engagement, whereas 76% of the subjects either usually, sometimes, or rarely see political activity.
00As you can see on the model above, 88% of the subjects see political advertisement on their Twitter’s news feed when they utilize their platform. 12% of the subjects always see political engagement, whereas 76% of the subjects either usually, sometimes, or rarely see political activity.
3895090610235This study shows a various answer in the subjects’ selection; 38% percent of the subjects never do any political related activities, 12 % of the subjects always are politically involved, 10% of the subjects usually are active, 8% of the subjects sometimes are active, and 32% of the subjects rarely are.
00This study shows a various answer in the subjects’ selection; 38% percent of the subjects never do any political related activities, 12 % of the subjects always are politically involved, 10% of the subjects usually are active, 8% of the subjects sometimes are active, and 32% of the subjects rarely are.
-2476501468755As you can see in the model, 95% of the subjects created a Twitter for the purpose of family and friends. The remaining percentage created their account for employment, news, and educational purposes.
00As you can see in the model, 95% of the subjects created a Twitter for the purpose of family and friends. The remaining percentage created their account for employment, news, and educational purposes.
After evaluating my results, the respondents were involved in both Twitter and the U.S. Presidential Election and do believe Twitter has evolved beyond its realms. My hypothesis was null with the use of gathered evidence. Twitter is being utilized by the public however it is not being utilized in terms of political purposes. There were many patterns and influxes in the female undergraduate students’ interactions on the social media platform. After evaluating the subjects, 95% of them use Twitter to interact with friends and family, whereas the others utilize it for employment, news, and educational purposes. The political party distribution was incorporated in this study to highlight Twitter’s influence in politics.
Additionally, the correlation as it relates to the subjects who are female undergraduate students and have a Twitter account, the majority identified themselves with the Democratic political party and voted during the 2020 US presidential election. 85% of the subject have a Twitter account, 60% of the subjects are Democrats, and 78% of the subjects voted during the 2020 presidential election. As a result of the 2020 presidential election, the President of the United States is a Democrat.
Similarly, other parts were also represented such as the subjects who have Twitter are fairly in the two age ranges of 18-20 years old and 21-24 years old. The divide between subjects who do believe Twitter had an influence on their political involvement during the 2020 US Presidential Election is shown tremendously with a 52% agreement and 48% disagreement. There were 30% of the subjects that would either always or usually see political advertisements on their Twitter newsfeed whereas 58% of them would either sometimes or rarely see political activity, and 12% would never see anything. Based on the data, subjects who have never been politically active and participated in any civic engagement activities had the highest percentage out of those who were either always, usually, sometimes, or rarely participants. However, most subjects have a Twitter account and were voters during the 2020 U.S. presidential election and believe Twitter is evolved beyond its realms.
The age, political party, and voter participation were emphasized in a plan of action because of the youth voter turnout during the election. Nevertheless, there were strengths and weaknesses in my research. Strengths of the research include being a female undergraduate student at Bethune-Cookman University allowed me to encounter my colleagues. Although there was an overwhelming amount of a certain political party and age group, the research could have been strengthened by having more diverse perspectives of the reasons for creating a Twitter account. The respondents from the surveys were subjective as well as biased from their geographical backgrounds. Despite the modifications, the findings did not portray the influence of social media and how it affected the youth voter turnout based on political parties, voting turnout, and active users on Twitter.
Half of the youth voted in 2020, an 11-point increase from 2016. Circle at Tufts. (2021, April 29). Retrieved November 16, 2021, from https://circle.tufts.edu/latest-research/half-youth-voted-2020-11-point-increase-2016.
Hello and welcome to this presentation. I will provide a questionnaire analysis regarding language use from our respondents.
Hello and welcome to this presentation. I will provide a questionnaire analysis regarding language use from our respondents.
First, we found that a majority of the respondents chose to use polite language to express their true feelings. In question 10, 78% of the respondents would rather suggest taking their friend somewhere another day as opposed to outrightly asking them to go alone.
Moving on to the next item, the questionnaire recorded that expressing a stomach ache in question 11 shows that a majority of people would rather use soft and subtle language (62%) as opposed to those exaggerating the pain (38%).
In addressing question 12 regarding the first response when the respondent encounters a thing that annoys them, the responses were almost split with 48% issuing no use of swear words and a majority of 52% saying their response may contain swear words.
Having looked at the results, an interpretation of the same indicate that while a majority of people are keen on using subtle, polite, and less exaggerative language to hide direct feelings or to express dissatisfaction and pain, they would also comfortably apply swear or dirty words in a conversation, especially if they encounter something annoying.
As a result, it emerges that the expressions used in language differ regarding the content and context. The use of rude or polite words is therefore a function of situation and context. Based on the level of education of the respondents, it emerges that high levels of education demand an analysis of situation to choose appropriate language.
Thank you. I will answer any questions now.
Effect of credit Crisis to commercial and Islamic Banks
Effect of credit Crisis to commercial and Islamic Banks
Name
Affiliation
Introduction
Since the financial downturn started in 2007 and into 2010, the world is encountering a credit crisis. Declining values in land, record high dispossession rates and default rates on credits are in charge of the credit crisis, which is making it harder for organizations to get the advances and credit to develop and expand (Beltratti & Stulz, 2012). The worldwide credit crunch has brought on entrepreneurs and administrators to settle on administration choices that cut expenses however keep up operational benefit.
Impact to Commercial Banks
Lack of Cash Flow
Most organizations are encountering an absence of income from business operations, which boils down to two essential reasons (Čihák & Hesse, 2010). To start with, clients of the business are cutting spending in light of the subsidence, creating the income coming into the business to back off. As a result of this absence of income, numerous organizations turn to loan specialists to get little business credits or lines of credit. Since banks have executed stricter rules, it is more troublesome for organizations to get the credits organizations need to get past moderate-income times (Cooper, 2010).
Layoffs and Unemployment
A few organizations needed to curtail their workers due to plan cuts, so one of the significant aftermaths from the credit crisis is worker cutbacks (Demirgüç-Kunt & Huizinga, 2010). The volume of cutbacks at one time has brought about a percentage of the most astounding unemployment rates the world has seen since the United States experienced the recessionary period amid the 1980s (Duchin, Ozbas & Sensoy, 2010).
Flexibility
In general, the credit crisis has brought on organizations to need to work in a domain they have not needed to work in some time recently. The direct impact is that organizations have ended up more adaptable so as to keep business operations above water until the crisis closes. Adaptable measures incorporate shutting maybe a couple extra days every week and operating out installment plans with clients.
Impacts to Islamic Banks
Business Property Defaults
Numerous organizations that claim the properties where they work had flexible rate contracts that balanced up amid the credit crisis. Lamentably, the stricter giving rules disallowed a number of these organizations from refinancing, home loan installments rose to an unreasonably expensive level and numerous business property proprietors went into default on their home loans. Indeed, even a few organizations renting business property ended up without a spot to capacity when proprietors defaulted on the home loans and banks dispossessed the properties and driving the renting organizations out (Hasan & Dridi, 2010).
Increased Creativity
Operating a business in a financial crisis has constrained ambitious people, entrepreneurs, and directors to think of inventive approaches to keep their entryways open (Saunders & Allen, 2010). Some have renegotiated purchasing terms with suppliers, while others have exchanged full-time representatives to low maintenance status to keep them utilized and decrease costs.
Conclusion
It is vital to consider that the extent in which a credit crisis affects a financial institution is due to the changes that world internally and externally of the bank. For both commercial and Islamic banks, credit crisis has impact that range from mild negativity to serious problems.
References
Beltratti, A., & Stulz, R. M. (2012). The credit crisis around the globe: Why did some banks perform better?. Journal of Financial Economics, 105(1), 1-17.
Čihák, M., & Hesse, H. (2010). Islamic banks and financial stability: An empirical analysis. Journal of Financial Services Research, 38(2-3), 95-113.
Cooper, G. (2010). The origin of financial crises: central banks, credit bubbles and the efficient market fallacy. Harriman House Limited.
Demirgüç-Kunt, A., & Huizinga, H. (2010). Bank activity and funding strategies: The impact on risk and returns. Journal of Financial Economics, 98(3), 626-650.
Duchin, R., Ozbas, O., & Sensoy, B. A. (2010). Costly external finance, corporate investment, and the subprime mortgage credit crisis. Journal of Financial Economics, 97(3), 418-435.
Fahlenbrach, R., & Stulz, R. M. (2011). Bank CEO incentives and the credit crisis. Journal of Financial Economics, 99(1), 11-26.
Hasan, M. M., & Dridi, J. (2010). The effects of the global crisis on Islamic and conventional banks: A comparative study. IMF Working Papers, 1-46.
Reinhart, C. M., & Rogoff, K. S. (2010). From financial crash to debt crisis (No. w15795). National Bureau of Economic Research.
Saunders, A., & Allen, L. (2010). Credit risk management in and out of the financial crisis: New approaches to value at risk and other paradigms (Vol. 528). John Wiley & Sons.
Takats, E. (2010). Was it credit supply? Cross-border bank lending to emerging market economies during the financial crisis. BIS Quarterly Review, June.