• Title/Summary/Keyword: Social media analysis

Search Result 1,464, Processing Time 0.026 seconds

The Influence of Social Media Affinity on Eating Attitudes and Body Dissatisfaction in Philippine Adolescents

  • Tadena, Shannen;Kang, So Ra;Kim, Shin-Jeong
    • Child Health Nursing Research
    • /
    • v.26 no.1
    • /
    • pp.121-129
    • /
    • 2020
  • Purpose: This study aimed to examine the influence of social media affinity on eating attitudes and body dissatisfaction among adolescents in the Philippines. Methods: The participants were 114 junior high school students enrolled in 7th to 10th grade in Cavite Province, Philippines. The collected data were analyzed in SPSS, using descriptive statistics, the independent t-test, one-way analysis of variance, Pearson correlation coefficients, and stepwise multiple linear regression. Results: The factors affecting eating attitudes were body dissatisfaction (β=-.47, p<.001), social media affinity (β=.33, p<.001) and grade (10th grade) (β=-.28, p<.001), and the factors influencing body dissatisfaction were eating attitudes (β=-.65, p<.001) and social media affinity (β=.17, p=.041). Conclusion: In order to promote healthy eating attitudes and to improve body satisfaction among Philippine adolescents, educational strategies tailored to social media users will be needed.

An Analysis of Effective Factors in Public Awareness Campaigns through Facebook: Focus on Fine Dust Issues

  • Nguyen, Thanh-Mai;Jo, Sam-sup
    • International Journal of Contents
    • /
    • v.17 no.4
    • /
    • pp.35-45
    • /
    • 2021
  • In this study, we analyzed the factors that affect public awareness campaigns on social media platforms and developed an integrated model for measuring the persuasiveness of environmental social media campaigns. A survey questionnaire was created and distributed on Facebook with the goal of reaching individuals in their 20s and 40s in Vietnam, and 395 valid replies were gathered. The findings showed that the STOPS was reconfirmed as a suitable theoretical framework for analyzing the public's behaviour intention to conduct information related to the issue of fine dust, especially on social media. Furthermore, it also showed that social media efficacy has a moderating effect on the relationship between public's situational recognition and informational behaviour intention. This suggested that through social media platforms, personal characteristics play a vital part in developing effective environmental campaigns. Implications for both theory and practice were discussed.

Linking Consumer Needs and Engagement Dimensions with Social Media Brand Pages to Brand Attachment Formation Process

  • Hong, Kyung-Wan;Kim, Hyeon-Cheol
    • International Journal of Internet, Broadcasting and Communication
    • /
    • v.14 no.3
    • /
    • pp.30-39
    • /
    • 2022
  • This study investigates the influence of consumer needs pertaining to brand social media pages on the consumer brand attachment formation process. We collected 278 valid responses from females who have experienced the food brands' social media pages. Following the data analysis, we developed the results as follows. First, we examined the significant influence of attachment to brand social media page needs and socialization needs on consumer content consumption engagement and content contribution engagement on brand social media pages. Then we determined that consumer engagement significantly influenced consumer brand attachment. Finally, we found consumer consumption engagement exerted a significant mediation effect on the relationship between consumer needs and brand attachment. Based on the results, we outlined the potential theoretical and marketing strategy implications of this research.

Research of Emotion Model on Disaster and Safety based on Analyzing Social Media (소셜미디어 분석기반 재난안전 감성모델 연구)

  • Choi, Seon Hwa
    • Journal of the Korean Society of Safety
    • /
    • v.31 no.6
    • /
    • pp.113-120
    • /
    • 2016
  • People use social media platforms such as Twitter to leave traces of their personal thoughts and opinions. In other words, social media platforms retain the emotions of the people as it is, and accurately understanding the emotions of the people through social media will be used as a significant index for disaster management. In this research, emotion type modeling method and emotional quotient quantification method will be proposed to understand the emotions present in social media platforms. Emotion types are primarily analyzed based on 3 major emotions of affirmation, caution, and observation. Then, in order to understand the public's emotional progress according to the progress of disaster or accident and government response in detail, negative emotions are broken down into anxiety, seriousness, sadness, and complaint to enhance the analysis. Ultimately, positive emotions are further broken down into 3 more emotions, and Russell emotion model was used as a reference to develop a model of 8 primary emotions in order to acquire an overall understanding of the public's emotions. Then, the emotional quotient of each emotion was quantified. Based on the results, overall emotional status of the public is monitored, and in the event of a disaster, the public's emotional fluctuation rate could be quantitatively observed.

The Contribution of Social Media Value to Company's Financial Performance: Empirical Evidence from Indonesia

  • MIQDAD, Muhammad;OKTAVIANI, Siska Aprilia
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.8 no.1
    • /
    • pp.305-315
    • /
    • 2021
  • This article aims to explore the contribution of social media value to a company's financial performance in a digital environment economy since the awareness of companies and investors in the use of social media opens up new mechanisms for disseminating information. Quantitative method is used in this study with Multivariate Analysis of Variance as the analysis tool. The data used is secondary data gathered from Indonesia Stock Exchange (IDX) using 308 companies as samples. In the multivariate test, four kinds of multivariate significance tests were carried out, namely Pillai Trace, Wilk Lambda, Hotelling's Trace, and Roy's Largest Root. It was found that social media value has a small contribution in the difference of the level of profitability and the value of the company in Indonesia, but it doesn't have a contribution to the difference of the level of liquidity. The contribution was an implication of online Word of Mouth (WOM) motives which are interrelated with signal theory and as additional information for investors in relation to single-person decision theory. This study provides an insight into the importance of social media management considering that the world of digital economy will continue to develop, so companies in Indonesia need to take advantage of these opportunities.

Social Media as a Platform of Collective Intelligence : An Exploratory Analysis Based on Communication Types (집단지성 플랫폼으로서의 소셜미디어 : 커뮤니케이션 유형별 실험 분석)

  • Kim, Tae-Won;Kim, Sang-Wook
    • Journal of Information Technology Services
    • /
    • v.12 no.3
    • /
    • pp.127-149
    • /
    • 2013
  • Is the social web environment in which production, distribution and consumption of information occurs from users an environment where manifestation of collective intelligence is easily made? Or is the social web environment a condition that incites people to depend on the groupthink due to biased information? It is important to conduct empirical studies on the possibility of social media as a tool of collective intelligence under the situation where conflicting opinions prevail. However, most of the existing studies related to this were limited to an exploratory research rather than an empirical research. In this regard, this study attempted to examine if the social media can perform a part as a platform of the collective intelligence empirically. Based on the experimental results, it can be safely said that the communication methods of social media showed its usefulness in both 'intellectual capacity of the group' and 'problem-solving skill of the group.'

The Impact of Linguistic Misinformation on Shaping Saudi Awareness: An Empirical Study of Saudi Perception of Social Media News

  • Khafaga, Ayman
    • International Journal of Computer Science & Network Security
    • /
    • v.22 no.11
    • /
    • pp.348-356
    • /
    • 2022
  • The main objective of this paper is to probe the extent to which misinformation propagated through the different social media platforms contribute effectively in the process of directing, shaping and reshaping societal awareness of Saudis. In so doing, this paper attempts to delve into the relationship between linguistic misinformation and societal awareness, by exploring the perception of Saudis towards social media news, particularly misinformation and the extent to which this misinformation influences the social attitudes of Saudis in terms of various societal issues. Two main research questions are addressed in this study. First, to what extent does social media misinformation affect Saudis' awareness? Second, what are the linguistic manifestations of misinformation presented in the different social platforms? Two main findings have been recorded in this study: first, misinformation significantly contributes to the societal awareness of Saudis; and, second, however misinformation is linguistically manifested at the different levels of linguistic analysis, it is highly representative at the lexicalization level of language use.

Behavioral Tendency Analysis towards E-Participation for Voting in Political Elections using Social Web

  • Hussain Saleem;Jamshed Butt;Altaf H. Nizamani;Amin Lalani;Fawwad Alam;Samina Saleem
    • International Journal of Computer Science & Network Security
    • /
    • v.24 no.2
    • /
    • pp.189-195
    • /
    • 2024
  • The issue "Exploring Social Media and Other Crucial Success Elements of Attitude towards Politics and Intention for Voting in Pakistan" is a huge study embracing more issues. The politics of Pakistan is basically the politics of semantic groups. Pakistan is a multilingual state more than six languages. There are 245 religious parties in Pakistan, as elaborated by the Daily Times research. The use of social media sites in Pakistan peaked to its maximum after announcement of election schedule by the Election Commission of Pakistan in March 22, 2013. Most of the political parties used it for the recent elections in Pakistan to promote their agenda and attract country's 80 million registered electors. This study was aiming to investigate the role of social media and other critical variables in the attitude towards politics and intention for voting.

Predicting Relationship Between Instagram Use and Psychological Variables During COVID-19 Quarantine Using Multivariate Techniques (다변량 분석 방법을 이용한 인스타그램 이용과 심리적 변인 간의 관계 예측: COVID-19로 인한 자가격리자를 중심으로)

  • Chaery Park;Jongwan Kim
    • Science of Emotion and Sensibility
    • /
    • v.26 no.4
    • /
    • pp.3-14
    • /
    • 2023
  • Recently, the effect of using social media on psychological well-being has been highlighted. However, studies exploring factors that may predict the quality of social media relationships are relatively rare. The present study investigated whether social media activity and psychological states, such as loneliness and depression, can predict the quality of social media relationships during the COVID-19 quarantine period using a machine learning technique. Ninety-five participants completed a self-report survey on loneliness, Instagram activity, quality of social media relationships, and depression at different time points (during the self-isolation and after the release of self-isolation). Similarity analyses, including multidimensional scaling (MDS), representational similarity analysis (RSA), and classification analyses, were conducted separately at each point in time. The results of MDS revealed that time spent on social media and depression were distinguished from others in the first dimension, and loneliness and passive use were distinguished from others in the second dimension. We divided the data into two groups based on the quality of social media relationships (high and low), and we conducted RSA on each group. Findings indicated an interaction between the quality of the social media relationships and the situation. Specifically, the effect of self-isolation on the high-quality social media relationship group is more pronounced than that on the low-quality group. The classification results also revealed that the predictors of social media relationships depend on whether or not they are isolated. Overall, the results of this study imply that social media relationship could be well predicted when people are not in isolated situations.

Writing Discourse Study in a Group of Professionals: Focusing on YouTube (전문가 집단의 글쓰기 담론 연구: 유튜브(YouTube)를 중심으로)

  • Cho, Young-kwon
    • Journal of Digital Convergence
    • /
    • v.19 no.6
    • /
    • pp.331-341
    • /
    • 2021
  • This paper analyzed the discourse on writing by experts such as writers, novelists, and writing instructors appearing in YouTube videos through narrative analysis methods. According to the analysis, the five key topics comprising writing discourse were: Active reading for writing, Nonstop writing and writing more, Rewriting 10 times more than talent, Writing in spoken language in the era of one-person media, Sharing feedback on social media. The writing discourse of professionals illustrated the change in writing in the age of social media. First, it was confirmed that the writing culture shifted from reading to writing and rewriting. Second, writing in the social media era naturally showed that the spoken language of writing became the dominant code. Third, it has been confirmed that writing in the social media era is social writing of cooperation and sharing that openly share feedback. These findings will have significant implications for future research on media and writing