scholarly journals The Influence of Political Advertisements on Voter's Intention in Pakistan

Author(s):  
Faisal Aziz ◽  
Dr. Fawad Baig

Pakistani media Advertising has gotten more compelling and persuasive in the field of Political correspondence. This research work elaborates the insight about political ads on the democratic expectation of Pakistani electors during the general elections of 2018. The universe for the investigation is the 200 male and female enrolled electors of Sargodha Zone. This paper likewise investigates and analyses the impact of emotional standards, singular mentality, and sentiments toward Political Advertising. There are two medium selected Electronics medium and social media. Selected Electronics Media channels to access political advertising are Geo News, Dunya News, and Express-News although selected Social media Sites are Facebook, YouTube, and Twitter. The data was gathered through well designed quantitative using survey technique. According to the results, the impact was being estimated and it seemed that there is a positive correlation between political Adson elector's goals. The apparatus for the quantitative methodology would be a poll for gathering the information. In the investigation, there are two Variables, political Advertising is the independent variable, and citizens' aim is the dependent variable. Political Advertising is a type of battling utilized by the political possibility to reach and impact electors. The democratic expectation alludes to the mentality, conviction, and estimation of the elector's considerations.

2019 ◽  
Author(s):  
Chengyan Zhu ◽  
Runxi Zeng ◽  
Wei Zhang ◽  
Richard Evans ◽  
Rongrong He

BACKGROUND Social media has become the most popular communication tool used by Chinese citizens, including expectant mothers. An increasing number of women have adopted various forms of social media channels, such as interactive websites, instant messaging, and mobile apps, to solve problems and obtain answers to queries during pregnancy. Although the use of the internet by pregnant women has been studied extensively worldwide, limited research exists that explores the changing social media usage habits in China, where the 1 child policy ended in 2015. OBJECTIVE This study aimed to (1) present the status quo of pregnancy-related information seeking and sharing via social media among Chinese expectant mothers, (2) reveal the impact of social media usage, and (3) shed light on pregnancy-related health services delivered via social media channels. METHODS A qualitative approach was employed to examine social media usage and its consequences on pregnant women. A total of 20 women who had conceived and were at various stages of pregnancy were interviewed from July 20 to August 10, 2017. Thematic analysis was conducted on the collected data to identify patterns in usage. RESULTS Overall, 80% (16/20) of participants were aged in their 20s (mean 28.5 years [SD 4.3]). All had used social media for pregnancy-related purposes. For the seeking behavior, 18 codes were merged into 4 themes, namely, gravida, fetus, delivery, and the postpartum period; whereas for sharing behaviors, 10 codes were merged into 4 themes, namely, gravida, fetus, delivery, and caretaker. Lurking, small group sharing, bad news avoidance, and cross-checking were identified as the preferred patterns for using social media. Overall, 95% (19/20) of participants reported a positive mental impact from using social media during their pregnancy. CONCLUSIONS It is indisputable that social media has played an increasingly important role in supporting expectant mothers in China. The specific seeking and sharing patterns identified in this study indicate that the general quality of pregnancy-related information on social media, as well as Chinese culture toward pregnancy, is improving. The new themes that merge in pregnancy-related social media use represent a shift toward safe pregnancy and the promotion of a more enjoyable pregnancy. Future prenatal care should provide further information on services related to being comfortable during pregnancy and reducing the inequality of social media–based services caused by the digital divide.


Author(s):  
Giuliana Lee ◽  
Andrew D. Choi ◽  
Erin D. Michos

Aims: To review the use of Social Media as a Means to Disseminate and Advocate Cardiovascular Research: Why, How, and Best Practices. Background: The use of Twitter or other social media platforms for research can transcend current limitations in dissemination of research and present new opportunities for research networking by connecting researchers, clinicians, policymakers, the public, and other stakeholders on a global scale. Objective: As social media influence continues to expand, it becomes increasingly important for cardiovascular researchers to employ social media strategies to increase the impact of their research work, for the ultimate goal of improved outcomes for patients living with or at risk for cardiovascular diseases. Method: Altmetrics are novel metrics that track the attention that scholarly outputs are receiving in non-traditional sources such as in news, blogs, and social media posts. These alternative metrics record research dissemination beyond traditional journal citation indices but also can predict and even promote future citations. Result: This review outlines various methods of how social media can be used to disseminate research, guidance on how to develop a social media portfolio for consideration of academic promotion, and some best practices for promoting one’s research work. Conclusion: Social media offers the advantages of rapid dissemination of research work, potential increases in novel and traditional impact metrics for publications, and may also facilitate academic promotion.


Author(s):  
Mohamad El Khatib ◽  
M. Firdouse Rahman Khan

PurposeSocial media has transformed and influenced communication, research and education in general through the vast variety of online tools which are available for communication.The objectives of the research study is to examine and analyze the influence of Social Media on the academic Performance of students and their social interpersonal skills.Design/methodology/approach195 samples were collected from full-time undergraduate students studying in the University from different faculties including business, engineering, law, English Studies and Language Studies. The descriptive statistics analysis was used to analyze the demographic data while inferential statistics was used in testing the research hypotheses. The results obtained from the analyses were used to interpret the outcomes.FindingsThe empirical results reveal that the students get to learn through social media differently enabling them new information and are also able to communicate easily with others. The communication exchanged is irrelevant to studies and does not help them in any manner to improve their learning. It is confirmed that the Social Media effects do not support the Learning of the students and most of the students are addicted to social media.Practical ImplicationsThe study confirms that it is good means to approach the students through social media whichmight boost the education in an easier way.Originality/valueThe research work is of its first kind as it focuses on the impact of social media on the academic performances of the students studying in Higher Educational Institutions. 


2019 ◽  
Vol 11 (1) ◽  
pp. 113
Author(s):  
Maghfira Faraidiany ◽  
Heri Kusmanto ◽  
Warjio Warjio

In connection with general elections, the role of political advertising is very important because it is considered to be a political engine for candidates in an effort to show their existence and efforts to attract and gain support during the campaign period. The use of identity in political advertising is used to influence voters' political choices. The 2018 North Sumatra regional election was attended by two pairs of candidates who met the requirements of the KPU. They are Edy Rahmayadi and Musa Rajeck Shah who are familiarly called Ijeck (Eramas) and Djarot Saiful Hidayat and Sihar Sitorus (Djoss). The two candidates played the issue of identity together in their political advertisements. This study aims to explain what identities are used in the candidates' political advertisements. From the results of the study it can also be concluded that the issue of identity politics can still be seen from the advertisements of both pairs of candidates and they also use identity issues to increase support.


2021 ◽  
pp. 221-233
Author(s):  
Vu Van Tuan

Social media has a profound influence on every aspect of human beings nowadays. This study investigated the impact of social networking sites on study habits and interpersonal relationships at the tertiary level. A total of 125 college students from different universities in Hanoi were chosen through a convenience sampling technique. Quantitative methodology was employed for the research instrument and a descriptive survey design was adopted for this study. The researchers designed questionnaires with Cronbach's alpha reliability coefficients of at least 0.84 to collect data for the study. Analysis of the data was carried out using frequencies, percentages, means, t-tests, and Pearson correlation statistics at the 0.05 alpha level. The findings revealed that students’ level of using social networking sites had a negative influence on their study habits and their interpersonal relationships. Based on the findings, it was recommended that regular orientations should be given to students on how and when to use social media to enhance their study habits or to spend time improving their interpersonal relationships with their families, friends, and teachers.


Author(s):  
Yanka Georgieva Aleksandrova ◽  
Silvia Stoyanova Parusheva

The main goal of this research is to identify some notable trends, opportunities and limitations regarding the application of social media in higher education based on studying the way students use social media during their education. The re-search is focused on the impact of social media on the process of learning, creation and distribution of education related content, as well as on education related communication. The target groups of the research are students in University of Economics Varna enrolled in different bachelor and master programs. An association analysis was implemented to identify the most common pat-terns regarding the application of social media in the education process. Statistical methods for testing hypothesis were used to assess the relationship between students’ specialty and derived social media patterns. The findings show that Facebook groups are а preferable social media tool for communication with colleagues, content sharing and distribution, while wikis and university Learning Management Systems (LMSs) are most used for content creation and additional learning. Some social media channels are more preferable for content creation and additional learning compared to scientific databases and e-books. Following the research results a conclusion can be drawn regarding the leading part of the students in initiating the use of social media compared to the relatively smaller role of the academic staff in this process. A medium to small relationships were discovered between students’ specialty and the application of con-tent sharing communities and forums in knowledge process with students in computer science more likely to use these social media types compared to students in economics.


2017 ◽  
Vol 40 ◽  
pp. 116-122 ◽  
Author(s):  
G. Sampogna ◽  
I. Bakolis ◽  
S. Evans-Lacko ◽  
E. Robinson ◽  
G. Thornicroft ◽  
...  

AbstractBackgroundIn England, during 2009–2014 the ‘Time to Change’ anti-stigma programme has included a social marketing campaign (SMC) using mass media channels, social media and social contact events but the efficacy of such approach has not been evaluated yet.MethodsThe target population included people aged between mid-twenties/mid-forties, from middle-income groups. Participants were recruited through an online market research panel, before and after each burst of the campaign (with a mean number of unique participants per each burst: 956.9 ± 170.2). Participants completed an online questionnaire evaluating knowledge [Mental Health Knowledge Schedule (MAKS)]; attitudes [Community Attitudes toward Mental Illness (CAMI)]; and behaviours [Reported and Intended Behaviour Scale (RIBS)]. Socio-demographic data and level of awareness of the SMC were also collected.ResultsA total of 10,526 people were interviewed. An increasing usage of the SMC-media channels as well as of the level of awareness of SMC was found (P < 0.001). Being aware of the SMC was found to be associated with higher score at MAKS (OR = 0.95, CI = 0.68 to 1.21; P < 0.001), at ‘tolerance and support’ CAMI subscale (OR = 0.12, CI = 0.09 to 0.16; P < 0.001), and at RIBS (OR = 0.71, CI = 0.51 to 0.92; P < 0.001), controlling for confounders.ConclusionThe SMC represents an important way to effectively reduce stigma. Taking into account these positive findings, further population-based campaigns using social media may represent an effective strategy to challenge stigma.


2018 ◽  
Vol 8 (1) ◽  
pp. 15 ◽  
Author(s):  
Ruoxin Zhu ◽  
Diao Lin ◽  
Michael Jendryke ◽  
Chenyu Zuo ◽  
Linfang Ding ◽  
...  

Studying the impact of social events is important for the sustainable development of society. Given the growing popularity of social media applications, social sensing networks with users acting as smart social sensors provide a unique channel for understanding social events. Current research on social events through geo-tagged social media is mainly focused on the extraction of information about when, where, and what happened, i.e., event detection. There is a trend towards the machine learning of more complex events from even larger input data. This research work will undoubtedly lead to a better understanding of big geo-data. In this study, however, we start from known or detected events, raising further questions on how they happened, how they affect people’s lives, and for how long. By combining machine learning, natural language processing, and visualization methods in a generic analytical framework, we attempt to interpret the impact of known social events from the dimensions of time, space, and semantics based on geo-tagged social media data. The whole analysis process consists of four parts: (1) preprocessing; (2) extraction of event-related information; (3) analysis of event impact; and (4) visualization. We conducted a case study on the “2014 Shanghai Stampede” event on the basis of Chinese Sina Weibo data. The results are visualized in various ways, thus ensuring the feasibility and effectiveness of our proposed framework. Both the methods and the case study can serve as decision references for situational awareness and city management.


The ease of availability and low cost of social media platforms has made the human vulnerable to devour the information from social media. Social media serves the unverified information which easily gets disseminated among people through different groups, applications, and other online social platforms. These fake news can lead to any suspicious activities which urges to derive the term suspicious news. The escalation of these suspicious news has open a lot of research ventures to detect and attenuate the impact on human. These suspicious activities have become a nuisance for legitimate users. Despite the presence of existing methods for the suspicious news detection exists, but the continuous growth of such activities is difficult to manage with an individual approach. In this research work, an ensemble approach is considered to detect suspicious news content. Here, Ant Colony Decision Tree method is ensembled for the detection of suspicious news (ACDTDSN). This approach uses the heuristic function and pheromone trail to obtain the optimal solution. The overall functionality of system is based on the content based approach for the detection of suspicious news with steps of dataset consideration, pre-processing, feature selection, and classification. The experimentation is performed using the FakenewNet dataset which consist of BuzzFeed and PolitiFact categories of news content. The results of the proposed ACSTDSN framework are accessed with the performance evaluation measures.


2019 ◽  
Vol 7 (5) ◽  
pp. 851-861 ◽  
Author(s):  
Syed Nasrullah ◽  
M. Firdouse Rahman Khan

undergraduate students’ academic performances and their social interpersonal skills in the Prince Sattam bin Abdulaziz University. Design/methodology/approach: 64 samples were collected from full-time undergraduate students studying in Prince Sattam bin Abdulaziz University from different colleges including Community college, College of Business Administration, College of Education, College of Engineering and College of Pharmacy. The descriptive statistics analysis was used to analyze the demographic data while inferential statistics were used in testing the research hypotheses. The results obtained from the analyses were used to interpret the outcomes. Findings: The empirical results reveal that the students enjoy meeting new friends online using social media rather than meeting in person and for this reason they spend a lot of time – addicted. It is also confirmed that the bad comments are passed easily through social media affecting other's sentiments and most of them strongly believe that all the information in social media is true and reliable and the rumors were spread easily in social media. Further, it is also confirmed that social media does not support the Learning of the students. Practical Implications: The study confirms that the students exchange learning materials through social media and it helps them to update the developments in their college/university. The students believe that through Social media they have improved their communication skills and they can communicate with anyone at any time. It is also found that some of their teachers communicate with them and encourage them to use social media but for studying only.    Originality/value: The research work is of its first kind as it focuses on the impact of social media on the academic performances of the students studying in Prince Sattam bin Abdulaziz University, Saudi Arabia, which has suggested effective means for effective implementation of social media strategy.


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