Final presentation yiyang zhang
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This study examined the relationship between social media use and friendships among young adults. It hypothesized that social media use, extent of use, and motivation for use would positively predict friendships. A survey was administered to college students to collect data on social media habits, friend counts, and relationship closeness. No significant relationships were found between the independent and dependent variables. The small sample size of 20 participants was identified as a limitation that likely impacted the ability to find significant results.
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Shakas Technologies Provides, 2016-2017 Project titles, Real time project titles, IEEE Project Titles 2016-2017, NON-IEEE Project Titles, Latest project titles 2016, MCA Project titles, Final Year Project titles 2016-2017..
Contact As:
Shakas Technologies
#13/19, 1st Floor, Municipal Colony,
Kangeyanellore Road, Gandhi Nagar,
Vellore-632006,
Cell: 9500218218
Mobile: 0416-2247353 / 6066663
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Shakas Technologies Provides, 2016-2017 Project titles, Real time project titles, IEEE Project Titles 2016-2017, NON-IEEE Project Titles, Latest project titles 2016, MCA Project titles, Final Year Project titles 2016-2017..
Contact As:
Shakas Technologies
#13/19, 1st Floor, Municipal Colony,
Kangeyanellore Road, Gandhi Nagar,
Vellore-632006,
Cell: 9500218218
Mobile: 0416-2247353 / 6066663
Friendbook a semantic based friend recommendation system for social networks
This document describes Friendbook, a semantic-based friend recommendation system that analyzes users' lifestyle data collected from sensors in smartphones to recommend potential friends. It aims to address limitations of existing social networks that rely only on users' social graphs. Friendbook uses topic modeling to extract lifestyle information from daily sensor data and measures similarity between users' lifestyles to identify likely friend candidates. The system was implemented on Android smartphones and evaluated through experiments.
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exchange of ideas, information, professional skills and other forms of expression across virtual
communities and networks, to estimate the social media technology using among population.
Use of Social Media by Urban Indian Youth and its impact on Social Behavior
Use of Social Media by Urban Indian Youth and its impact on Social BehaviorNational Institute of Mass Communication and Journalism, Ahmedabad
Abstract: In todays’ fast paced world we keep ourselves updated and informed about various happenings around us and form opinions and make judgments on various issues through the use of social media. Internet and rapid digitalization has impacted every aspect of lives across all age groups by making our communication impersonal. Usage of social media and Social Networking Sites (SNS) has increased significantly with far reaching impacts on the social, emotional, academic and physical development of the youth today. All forms of communications particularly, face-to-face social interactions have been reduced to virtual chats over the internet. Extensive usage of SNS is also influencing their interpersonal relationships particularly with their family members, friends and society at large which is likely to be more pronounced in the impressionable age group of 15 – 25 years. This paper endeavors to throw light on above mentioned aspects through research, review of literature and aims to examine the impact of social media on the social behavior of urban Indian youth with special reference to the youth of Ahmedabad.Trust and privacy concern within social networking sites a comparison of fa...
This document summarizes a study comparing trust, privacy concerns, and social interactions on Facebook and MySpace. The study found that Facebook users revealed more personal information in their profiles but that MySpace users were more likely to develop new online relationships, despite reporting lower levels of trust. Both sites had similar levels of privacy concern among users. The study demonstrates that online relationships can form even when trust and privacy protections are perceived as weak.
Why people use social networking sites
Brandtzæg, P.B., & Heim, J. (2009). Why people use social networking sites. Proceedings of the HCI International. (pp. 143–152). In A.A. Ozok and P. Zaphiris (Eds.): Online Communities, LNCS. Springer-Verlag Berlin Heidelberg, San Diego, CA, USA, 19-24 July
Dating app usage
This research study of college students' & young professionals' dating app usage was conducted in a Marketing Research course. It includes the creation, analysis, and conclusions of a 34-question survey, as well as implications of dating app usage, in terms of behavior, motivation, and attitudes.
A Study on Effects and Cultural Impacts of Social Networking Sites Among Stud...
The Social Networking Sites are becoming vital part for the Students. Social networking sites offers students to communicate effectively and also very useful for sharing the information. It allows students to easily their own pages in online network of contacts, also called as ˜friends. Nowadays comparing to other communication methods the Social Networking Sites are faster for sharing the information. This research project work œA Study on Effects and Cultural Impacts of Social Networking Sites among Students with Special Reference to Coimbatore City, analysis the Students preference and attitude towards Social Networking Sites especially Face Book, Twitter, LinkedIn and Others. It also focuses on the impact and effects of Social Networking Sites in Students. The findings from the analysis were discussed in detail and suggestions have been given. Mrs. B. Janani | Mrs. B. GeethPriya"A Study on Effects and Cultural Impacts of Social Networking Sites Among Students with Special Reference to Coimbatore City" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11563.pdf http://www.ijtsrd.com/management/marketing/11563/a-study-on-effects-and-cultural-impacts-of-social-networking-sites-among-students-with-special-reference-to-coimbatore-city/mrs-b-janani
Social Media- A tool for research
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Social Networking and Depression among University Students
Rawal Institute of Health Sciences2, Islamabad.
Abstract
Background: Students in the modern world are busy using social media for different purposes along with other
activities. Research studies revealed that excessive use of social media influence the mental health of students.
This study was design to measure the relationship of social media and depression among university students.
Objectives: The main objectives of the study were, to investigate the perception of university students
regarding the usage of social media networks, to find out gender-wise differences of university students in using
social media networks and depression level and to measure the relationship of social media and depression
among university students.
Subjects and Methods: Following quantitative correlational research design, the sample which was consists of
200 Facebook and Twitter users comprising of 123 male and 77 female students from university of Swat and
Peshawar were surveyed through two research instruments i.e. a questionnaire and Beck Depression Inventory
(BDI).
Results: The main findings of the study were; most of the male social media users were more depressed than
female. The students who spent more time on social media were found depressed. The students who spent
more time on social media for searching health information and playing games were more depressed than those
who used social media for chat with friends and family.
Conclusion: It was concluded that male students who spent more time on social media were found more
depressed than female and students who used social media for searching health information and playing games
were more depressed than those who used social media for chat with friends and family.
Social and-psychological-impact-of-social-networking-sites
The Australian Psychological Society conducted an online survey of over 1,800 Australians to investigate patterns of online social networking and its social and psychological impacts. Key findings included:
1) Online social networking was widely used across age groups, with 81% of those aged 31-50 and 56% of those over 50 reporting use of sites like Facebook.
2) While most spent less than two hours per day on social networks, concerns about excessive use were common. A significant number (28%) reported negative experiences like bullying.
3) Social networking provided benefits like increased contact with friends/family for many (53%), but some young adults feared losing connections without these sites.
4) Users tended to have moderate sociability and sh
Social implications of social networking sites
2. Brandtzæg, P.B. (2012). Social networking sites: their users and social implications – a longitudinal study. Journal of Computer-Mediated Communication, 17 (4), 467-488
Factor Analysis of Students’ Exposure to Social Media for Food and Beverage
Food and beverage marketing on social media is
a powerful factor to influence students’
exposure to social media and application for
food and beverage. It is a well-known fact that
most of the food and beverage business target
young people on the social media. The objective
of the study is to identify the factors associated
to the students’ exposure in the social media
platforms for food and beverage. The young
students between the ages 20 to 26 years
completed a self-administered questionnaire
survey on their media use for food and
beverages. The questionnaire was prepared
using Likert scale with five options from
strongly agree to strongly disagree. The data set
was described with descriptive statistics such as
mean and standard deviation. The exploratory
factor analysis with varimax rotation method
was used to extract the factors. The most
popular social media among the respondents
were Facebook, Instagram, and You Tube.
73.3% of the students were exposed to food and
beverage application in their mobile device and
76% of them followed the popular food and
beverage pages in social media. The result
revealed that social media posts, promotional
offer, and hygienic concept have positively
influenced majority of the students’ exposure to
social media for food and beverage.
Keywords: Factor analysis, Social Media, Food
and Beverage, Student, Promotional Offer
IMPACT OF SOCIAL NETWORKING SITES ON YOUNG GENERATION
Social networking sites (SNSs) such as Facebook, Twitter and Google+ have attracted millions of users, many of whom have integrated those sites into their daily practices. As of this writing, there are hundreds of SNSs, with various technological affordances, supporting a wide range of interests and practices
A Comprehensive Study on Social Network Mental Disorders Detection
This document discusses detecting social network mental disorders through analysis of social media data. It proposes a framework called Social Network Mental Disorder Detection (SNMDD) that aims to identify potential cases of disorders like cyber-relationship addiction and information overload. The framework extracts features from social networks and also proposes a new tensor model to improve accuracy. It evaluates the framework on a dataset of over 3,000 social media users labeled by experts. The results show that combining different feature types like social interactions and user profiles can help effectively detect social network mental disorders through social media mining.
Usage of YouTube Content among Chennai Urban Women.pdf
Abstract: The majority of YouTube users are college students, therefore it's critical to understand their usage patterns,
goals, and any potential psychological and behavioural effects. In order to determine the current trends in YouTube usage
among female undergraduate students in Chennai City, this study will examine the devices used, memberships subscribed
to, purposes used, and identity formation time spent networking, negative impacts experienced, and educational usage.
Data from a survey were analysed with SPSS-Statistic 19.0 software, and the findings were compared to the examined
literature. According to the survey, students' YouTube networking habits will eventually win out over parents' and
teachers' attitudes, and although while cell phones are currently prohibited in many college buildings, they will
undoubtedly be utilised in classrooms in the near future. The discoveries provide the current study in this area more depth.
Adolescent and Young Adult Social Media Use: Using For a Purpose, but Resulti...
This document discusses adolescent and young adult social media use and its effects. While some argue that social media is turning youth into addicted narcissists, the author argues that most adolescents and young adults use social media for specific purposes like connecting with others and expressing identity. However, social media use still leads to unexpected negative side effects. The author aims to show that youth are not addicted to or becoming narcissists from social media, and that solutions exist to overcome negative side effects.
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Research report on exceesive use of social media lead to mental health issues
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Social Media Networking Site Usage Demographics Stats
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Use of Social Media by Urban Indian Youth and its impact on Social Behavior
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Final presentation yiyang zhang
- 1. STAR T
- 2. SOCIAL MEDIA USES TO FRIENDSHIPS AMONG MC 550 YIYANG ZHANG YOUNG ADULTS
- 3. HYPOTHESES H1: Social media uses could positively influence friendships among young adults. H2: The extent of social media uses could predict friendships among young adults. H3: The motivation of social media uses could predict friendships among young adults.
- 4. METHOD Population: Young adults Sampling frame: college students Nonprobability sampling: convenience & snowball
- 5. METHOD IV1: social media uses IV2: the extent of SNS uses 1) the frequency 2) SNS accounts IV3: the motives of SNS uses 1) friendship seeking 2) entertainment seeking 3) information seeking 4)self-status seeking Control variable: gender, years at university DV: friendships (the number of close friends, closeness)
- 6. METHOD Qustionnaire survey ("Qualtrics" and send the link via email) Part I, demographic information Part II, social media uses (or not) Part III, the extent of SNS uses Part IV, friendships 20 samples (33 respondents but just 20 completed)
- 7. DATA ANALYSIS Control variables
- 8. DATA ANALYSIS H1: Social media uses could positively influence friendships among young adults. 1) social media uses to the number of friends p-value>.05
- 9. DATA ANALYSIS H1: Social media uses could positively influence friendships among young adults. 2) social media uses to the degree of closeness among friends p-value>.05
- 10. DATA ANALYSIS H2: The extent of social media uses could predict friendships among young adults. 1a) the frequency of SNS uses to the number of friends. p-value>.05
- 11. DATA ANALYSIS H2: The extent of social media uses could predict friendships among young adults. 1b) the frequency of SNS uses to friendships closeness. p-value>.05
- 12. DATA ANALYSIS H2: The extent of social media uses could predict friendships among young adults. 2a) the number of SNS accounts to the number of friends. p-value>.05
- 13. DATA ANALYSIS H2: The extent of social media uses could predict friendships among young adults. 2b) the number of SNS accounts to friendships closeness. p-value>.05
- 14. DATA ANALYSIS H3: The motivation of social media uses could predict friendships among young adults. 1) friendship seeking to the number of friends/closeness p-value>.05 p-value>.05
- 15. DATA ANALYSIS H3: The motivation of social media uses could predict friendships among young adults. 2) entertainment seeking to the number of friends/closeness p-value>.05 p-value>.05
- 16. DATA ANALYSIS H3: The motivation of social media uses could predict friendships among young adults. 3) information seeking to the number of friends/closeness p-value>.05 p-value>.05
- 17. DATA ANALYSIS H3: The motivation of social media uses could predict friendships among young adults. 4) self-status seeking to the number of friends/closeness p-value>.05 p-value>.05
- 18. LIMITATION The sample is too small (20 participants). - only 1 respondent is non-SNS-user. - at least one group has fewer than two cases. → p-value bigger than 0.05