Ferriter (2010) conducted a study in the United States of America in 2010 that showed that more than 50 percent of all educationists have accounts with at least one social networking site. These educationists include teachers, principals, and librarians. The survey revealed that many of them are using those spaces for career advancement and networking. Social mediausage remained high in North America, Europe, and as well as parts of the Asia Pacific. Among the countries surveyed by the Pew Research Centre in 2018, South Korea has more than ninety five percent internet use. This is also a threat to the traditional teaching mode that view the teacher as an expert and students as passive recipients of information. With the emergence of SNS the trend is on a threat as a need for a medium of interaction between teachers and students has to undergo transformation. This is due to the changing situations and expectations of fast paced and technology savvy learners. This implies that the use of social media is affecting the whole process of teaching and learning throughout the world.
A statistical tool called Factor Analysis was used to analyze data that was collected through questionnaire. Factor analysis includes cluster of strategies that are primarily used for data reduction and summarization. Among various variables in research, few variables gather to denote certain factors that influence social mediausage behavior.After selecting a method for factor extraction, the next step is to decide how any factors should be retained for rotation. Rotation is done to simplify and clarify the data structure. Varimax, quartimax, and equimax are commonly available orthogonal methods of rotation. Factor analysis is a large-sample procedure. If the sample is not large then generalization and replicable results are likely to show.
The present study will therefore investigate the Internet usage patterns of Koreans in Kentucky in order to understand whether or not the new communication technology affects their acculturation and media choice as well as their choice patterns. Unlike traditional media, which does not require active audience participation, the Internet encourages the audience to actively and purposely search for information (Hiebert & Gibbons, 2000). The uses and gratifications theory assumes that the audience is goal-directed and often actively engaged in information when they consume mass media products (Katz et al., 1973; McQuail, 1994/2000; Rubin, 1984; Walker, 1998). Thus, the correlation between media choices of Korean people living in Kentucky may be explained within the framework of uses and gratifications theory. This is in line with other studies, which have attempted to explain immigrants’ and sojourners’ mediausage patterns within the framework of the uses and gratifications theory (Johnson, 1996; Valenzuela, 1985; Walker, 1998). However, the present study is a bit different from most of the previous studies since it will not only investigate traditional mediausage patterns, but also it will seek to identify emerging patterns resulting from the new technological developments such as the Internet.
The core of the model of media attendance contains five variables which are experience, self- efficacy, outcome expectations, habit strength, and (deficient) self-regulation. These five variables influence each other while also predicting the use and adoption of a certain medium (Heuvelman, Peters & Fennis, 2009). Experience describes in how far a user is already consuming a certain medium, or how long he has already been using it. Self-efficacy is the personal belief about one’s own ability of performing a certain media behavior (Bandura, 1997). LaRose and Eastin (2004) claim that self-efficacy is directly related to mediausage through expected outcomes whereas prior experience usually leads to higher levels of self-efficacy. This has already been postulated by Bandura (1986), who stated that enactive learning leads to better self-efficacy. The outcome expectations consist of six basic incentives which include monetary, social, status, novel, activity and internal incentives (Bandura, 1986) but can be, and have been, specifically adapted according to the research purpose. The construct habit strength is a measure for the degree of the self-monitoring sub function of self-regulation; the stronger the habit strength, the less is one able to monitor one’s self-regulation (LaRose & Eastin, 2004). The construct self-regulation (Bandura, 1986) “describes how individuals monitor their own behavior, judge it in relation to personal and social standards, and apply self-reactive incentives to
Social media users have opportunities to post status, post photos, record their daily lives and thoughts, reply others to derive a sense of self-assurance and belonging from such self- expression. In addition, they can gather information from the huge online database for purchasing decision. Social media has had an impact on purchase decision, for example, consumers who are a fan of a brand on social media, are more likely to recommend or buy that brand (Cruz & Mendelsohn, 2010). Consumers trust the information obtained from fellow consumer more than from one created by an organization (Nielsen, 2009), due to the advantages of social media in influencing customer perceptions and behavior (Williams & Cothrell, 2000). According to Mathupur, Black, Cao, Berger, & Weinberg (2012), social media independent variable is an important factor which often influences the purchase decision of a person and social mediausage impact on purchase decision. On the other hand, Mangold & Faulds (2009) states that social media has influenced consumer behavior from information acquisition to post purchase decision such as dissatisfaction statements or behaviors. 71% of people state that family and friends make a great influence on their purchase decision (Harris, 2007). According to Bazzarvoice (2011) 51% of Millennial say consumer opinions found on a company‟s website have a greater impact on purchase decisions than recommendations from family and friends. Perceived ease of use
As long as we can remember migration has been a thriving factor shaping societies all around the globe. For several reasons people, sometimes forcefully, decide to migrate to another country. The process of migrating can be tough and adapting to a new society requires certain skills. People from different cultural backgrounds come together in a society and the question is what happens? Some politicians grant space to a multi-cultural way of living, while others prefer to talk about integration. Integration into a more or less mono- cultural society. How do people obtain the skills to integrate into a new society? And what are these skills that are needed? With this research I have investigated what role social media plays in the integration process of refugees. The problems that come along with integration are diverse and social media could play a role in tackling these problems. Whether that is about apps that help learning the language or applications where refugees can contact people from the host society, could social media possibly provide a tool for them to acquire the social capital that is needed to advance their integration process? Or, on the other hand, could social media cause refugees to fall in an online trap? Social media does bring risks along like scams and remoteness. Furthermore has loneliness and depression been linked with a lot of online activity (Primack, 2017). We do know that differences among social mediausage exist. Younger people are more likely to make use of social media and they have been found to value online friends more. Older people on the other hand were shown to make more use of the traditional ways of obtaining and maintaining their social contacts (Bolton, 2013).
The items “attend class,” “study by yourself at home” and “visit libraries” can be interpreted as indicators for activities that have been used since the foundation of universities. The items “study using a computer” and “search the Internet for learning materials” integrate relatively new activities into this group of “traditional” studying habits. The frequency of the latter items can be compared to that of the item “visit libraries” (which is probably used as an additional, not a substitute, activity) and “study with printed materials you found yourself” (which differentiates from material given by instructors). The items “study together with one other person” and “study in groups (more than two people)” are related to the item “study with other students online (via Facebook, Instant Messenger, or e-mail)” which exemplifies a new media-based option to cooperation and seems to be less common than conventional forms of joint studying. All three variations of joint studying were rated as less frequently realized than “isolated” learning arrangements. The results of all the eight items together generate the impression of a mixture between traditional and new general media, learning, and studying habits.
adolescent consumers. However, research findings suggest that the mass media rank relatively low compared to personal sources of information and seem to be preferred only for items where price, performance and social acceptance are of little concern (Gilkison, 1965; 1973; Moore and Stephens, 1975; Moschis, 1978; Moschis and Moore, 1979).
Additionally, age is thought to be directly correlated with the time spent on social media . One study con- cluded that medical students, who are younger, spend more time on social media as compared to the resi- dents, which suggests this correlation . Another study showed that the use of social media among physi- cians was 41% in 2010 and 90% in 2011, as compared to medical students who usage was more than 90% . Thus taking into account the factor of age could help us nar- row down the general age group to work with in order to reduce the harmful effects of using social media during working hours, as it could be the source of distraction. Moreover, only 31% of healthcare institutions have social media policy, per Institute of Health .
My name is Christine Phelps and I am a graduate student in the Communication and Media Technologies program here at RIT. My thesis work focuses on the use of social networking sites by media figures, celebrities and celebrity brands and how consumers use these sites. I will be ORRNLQJDWFRQVXPHUV¶XVHRIVRFLDOQHWZRUNLQJVLWHVWKHLUSDUWLFLSDWLRQZLWKFHOHEULW\EUDQGVYLD social networking site and their feelings of trust and loyalty to that brand. You are included in a sample of students that I hope will share your time and your personal knowledge of this topic with me.
Abstract— Fast technological development has impact to smartphone technology. The smartphone users unconsciously become dependent to the technology. Media literacy to adolescents is important and it will give critical analysis in the access of media messages and create messages by using the media. This research aims at k nowing media literacy to the uses of social media (Facebook and Instagram) among adolescents in South Tangerang. Theory of Media Literacy from James Potter was used as the main concept in the research. It used quantitative approach with positivism paradigm and survey research method. The data collection was used through questionnaire with purposive sampling technique which was defined as the sampling method. The research findings indicate that media literacy level among adolescents bases on the Individual Competence Framework that consists of three indicators: media literacy level on the basis of Use Sk ill, and it gets average value of 36.38 for 60.93% of the respon dents. It includes the medium category in the Critical Understanding indicators and it has average value of 47.85 from 51.72% of the respondents and it includes the medium category in the indicators of Communicative Abilities it gets average value of 27.34 from 59.77% of the respondents and it includes the medium category.
A benefit of corporate social media is reaching consumers and building strong relationships with them, encouraging fans to become evangelists for the business and spread good word-of-mouth (Weber, S., 2007). It is possible to use the interactivity of social media to influence opinions, as discovered by Utz (2009) in her mixed methods study into ‘The (Potential) Benefits of Campaigning via Social Network Sites’ for political candidates. But this is also a potential disadvantage, as social media is a “double-edged sword”. The online platform belongs to consumers just as much as businesses, and a single member of the community could be very effective in voicing a contrary opinion (Weber, S., 2007)
The methodology involves identifying the possible dimensions /constructs for social mediausage from the previous literature. Then the study is set to examine the dominating factors by applying factor loading. For addressing the prime objective, use of social media and academic performance, data analysis software for statistics and data science: STATA was employed. First, the exploratory factor analysis was conducted to explore the best possible groups. After identifying groups, each group has been named or categorised, that are used as latent variables for analysing structural path analysis. Finally, the structural path model is measured to find the impact of social media use on CGPA. The measurement scale reliability was also assessed by Cronbach alpha. The three steps data analysis was followed: Step 1: An Exploratory Factor Analysis (EFA) along with varimax rotation was employed to find the latent variables. Step 2: Confirmatory factor analysis was performed to analyse whether the latent constructs provides a goodness-of-fit of the model. Step 3: The association between social media use and academic performance was evaluated using structural analysis. These three steps were introduced in the following ways.
According to Kristin Swain , The main benefit of social mediausage in the workplace is that social media can be used as a public relations tool. The transparency can be measured through blogs, posts, pictures and makes and company easier to relate to even average consumers. Companies can utilize social media tools to gather mailing list from the database, sale and special offer information distribution to them and showcasing product pictures and post positive media reviews. It is a very inexpensive free way to promote business to wide audience. According to Rachelle , use of social media provides variety of benefits like productivity increase, collaboration, retention and intelligence.
have been a lot of debates on the impact that social media has on society and specifically, its effect on education. Ito, Baumer, Bittanti, Boyd, Cody and Herr-Stephenson (2009) observed that teenagers use social media for some positive activities, which include joining groups they find interesting and contributing in various activities. Ahn (2011) believes that social media provide an avenue for youths to engage in groups that encourage them to improve in specific knowledge areas. Fishman, Lunsford, McGregor and Otuteye (2005) also observed that students seem to develop various writings through various social media. On the contrary, Ogedebe, Emmanuel and Musa (2012) observed that the time students dedicate to social media affect their commitment to class activities which in turn affect their academic performance. Banquil, Chuna, Leano, Rivero, Dianalan, Matienzo and Timog (2009) discovered a steady decline in students’ grades as a result of social mediausage. The understanding of social mediausage by secondary school students is vital in achieving performance in order to improve secondary school education in Nigeria. Although there are other factors standing in the way of academic performance, social media seems to be a major factor, considering its interest among secondary school students. There are many works on social mediausage among students in Nigeria, but there exists a gap in knowledge on social media and its impact on academic performance, bearing in mind that social media is a fascination among secondary school students. Hence, there is need to investigate the relationship between social media and students’ academic performance in Nigeria, in order to determine students’ attitude to social media and how it impact on their academics. This research work seeks to examine the impact of social media on academic performance of students 1.1. Statement of the Problem
In recent years, social media like Facebook, Instagram and Twitter have expanded impressively and enabled millions of users of all ages to develop and support personal and professional relations. These social media act to fulfill undergraduates’ leisure time that is not filled with organised tasks such as class discussion and assignments. The use of social media facilitates offline social interaction. These were due to the fact that undergraduates could do several activities at one time such as to send and receive messages or to make plans with peers for dating, hanging out, or socialising. By accessing to social media, undergraduates able to meet new people and keep in touch with peers. Furthermore, students use social media of different kinds social media, for instance to check Facebook while interacting via instant messaging (IMing). Such social mediausage may affect to its meaning as filler for leisure time. For instance, the time they spent to watch television would replace the time spent to go out with peers since they used to fulfill leisure time. Social networking able to effect undergraduates’ lifestyle and this related with lesser quality interaction with closed relatives and peers Our findings indicate that almost two-third of the foundation students used social media when they are in the campus.
The data was collected during regular class meetings and the survey consisted of a total of ten pages. The instrument took approximately 15 minutes to complete. All participants involved in this research were volunteers. Students were asked to complete nine instruments: Background Information Form (BIF), Facebook usage scale, Internet usage scale, online mediausage for education purposes scale, online mediausage for non-education purposes scale, polychronicity scale, student interest in university scale, academic performance scale, and face-to-face communication scale. The BIF form recorded the following demographic information: age, gender, race, attendance status, major, class rank, hours (per day) used for Internet, Facebook, online media for education and non-education.
Not only the appropriate media selection will influence the students’ intelligence, it also influences their attitude and behavior. Audiovisual media consists of silent audiovisual media that displays sound and still images, such as frame sound movie (sound slide), sound set movie; moving audiovisual media that displays the elements of sound and moving images. This media has a greater advantages due to it functioning two senses of the users: senses of hearing and sight. It was expected that the mediausage would increase the motivation of the learners and clarified the material explained. The teachers are responsible for selecting the appropriate learning media.
The purpose of the study is to identify mobile tagging awareness in social media. Also in the study, it is studied whether there are significant differences between mobile tagging awareness’s of social media consumers based on consumers' demographic and personal characteristics and social mediausage levels. In the study, it is assumed that mobile tagging awareness levels of social media consumers are high. The universe of the study covers consumers who are members of Facebook, Twitter and Linked In social media sites. Facebook has 30 million, Twitter has 6 million and Linked In has 750.000 active members. The universe of the study is the 36.750.000 active social media members of the survey. Universe variance cannot be estimated. The study's sample size was calculated with the n= π (1-π) / (e/Z) 2 formula with 0.05 error level and 95% confidence interval. As the variance of the universe cannot be estimated in the formula, maximum variance π has been accepted as 0.5. According to this data, the sample size of the study has been calculated as n=0.5x0.5/(0.05/1.96) 2 = 369. As the condition n/N = 1.004 <0.05 is not met N-n/N-1 correction factor was multiplied with the sample size giving the corrected sample size; 36.750.000 – 369 / 36.750.000 – 1= 0.995 x 369 = 367. Considering that there may be erroneous surveys, 444 valid surveys out of 500 conducted were assessed. Surveys were conducted to individuals 18 years old or older.
Social media analytics additionally incorporates the concept of social listening, which is represented as monitoring social media platforms/channels for various problems and opportunities. Social media analytics tools typically incorporate listening into more comprehensive reporting that involves listening and performance analysis. Listening to the consumer remains the core expectations, around which social media analytics can be conceptualized. In other words, the organizations mine the ‘sentiment analysis’ to listen to the customers and understand their perceptions about the products/services being offered. Sentiment analysis has assumed greater significance in recent times because of its raw and unadulterated nature .