• 한국콘텐츠학회논문지
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• 제22권4호
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• pp.337-351
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• 2022

소셜미디어의 전면적인 보급과 빠른 발전에 따라 소셜미디어 정보전파의 탈중심화 추세가 나날이 뚜렷해지고 있으며 수용자들이 소셜미디어 정보를 이용한 시간의 세분화가 뚜렷하게 진행되고 있다. 따라서 본 연구는 기존연구들을 바탕으로 소셜미디어의 가짜뉴스에 대한 태도, 사회자본, 위험인식 및 판별의도 간의 미치는 영향 관계를 연구하고자 하다. 이에 따른 연구모델은 관련한 연구가설을 제시하고 설문지를 구성하여 총 500건의 유효설문을 수집하였다. 자료 분석하기 위해 SPSS 26.0 프로그램과 AMOS 24.0 프로그램을 사용하였다. 연구결과는 다음과 같다. 첫째, 소셜미디어의 가짜뉴스 판별의도에 대한 이용자들의 태도가 적극적일수록 인터넷 정보의 진위성을 판별하기 위해 다양한 방식이나 도구를 활용하려 한다. 둘째, 소셜미디어 가짜뉴스에 대한 이용자의 태도가 적극적일수록 소셜미디어 가짜뉴스가 자신의 신체, 심리, 재무 등에 미치는 잠재적 위협을 인식할 수 있다. 아울러 자신의 위험인식을 높이고 소셜미디어 가짜뉴스에 대한 반펼의도가 높아진다. 셋째, 중국 이용자가 가진 사회자본이 풍부할수록 정보 소양이 강해지기 때문에 소셜미디어 가짜뉴스에 대한 판별의도도 강해진다. 넷째, 중국 이용자 가진 사회자본의 가치가 높을수록 가짜뉴스에 받은 피해를 더 크게 볼 수 있다고 판단하며, 자신의 이익을 보호하기 위해 가짜뉴스에 대한 위험의식이 높아진다. 다섯째, 중국 이용자가 소셜미디어에 의심한 정보를 인식하고 상응한 조치를 시실한 것을 의미하다.

• Human Ecology Research
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• 제59권1호
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• pp.23-43
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• 2021

This study looked through the text mining analysis to check the status of the virtual assistant service, and explore the needs of consumers, and present consumer-oriented directions. Trendup 4.0 was used to analyze the keywords of AI services in Online News and social media from 2016 to 2020. The R program was used to collect consumer comment data and implement Topic Modeling analysis. According to the analysis, the number of mentions of AI services in mass media and social media has steadily increased. The Sentimental Analysis showed consumers were feeling positive about AI services in terms of useful and convenient functional and emotional aspects such as pleasure and interest. However, consumers were also experiencing complexity and difficulty with AI services and had concerns and fears about the use of AI services in the early stages of their introduction. The results of the consumer review analysis showed that there were topics(Technical Requirements) related to technology and the access process for the AI services to be provided, and topics (Consumer Request) expressed negative feelings about AI services, and topics(Consumer Life Support Area) about specific functions in the use of AI services. Text mining analysis enable this study to confirm consumer expectations or concerns about AI service, and to examine areas of service support that consumers experienced. The review data on each platform also revealed that the potential needs of consumers could be met by expanding the scope of support services and applying platform-specific strengths to provide differentiated services.

• 한국융합학회논문지
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• 제11권7호
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• pp.145-150
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• 2020

소셜 미디어에 대한 지속적 이용의도에 미치는 영향변수와 그 관계에 대한 보다 체계적이고 종합적인 설명이 필요하다. 이를 위해 소셜 미디어 지속적 이용 의도에 미치는 영향변수(소셜 미디어 활동참여, 개인정보 노출위험, 지각된 향유, 몰입, 그리고 집단 동일시)와 소셜 미디어 이용에 대한 태도를 중심으로 모형을 설정하고 가설을 설정하였다. 수립된 가설을 실증적으로 검증하기 위하여 설문조사를 실시하고 AMOS를 이용하여 구조방정식으로 분석하였다. 신뢰성과 타당성이 확보된 연구결과를 토대로 분석한 결과 소셜 미디어 활동참여, 지각된 향유, 그리고 몰입이 소셜 미디어 지속성에 직, 간접적으로 영향을 미치고 있음을 밝혀냈다. 또한 소셜 미디어에 대한 태도가 소셜 미디어 지속이용의도에 정의 영향을 미쳤다. 마지막으로 연구결과의 실무적 시사점 및 연구의 한계점을 제시하였다.

• Genomics & Informatics
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• 제18권2호
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• pp.17.1-17.4
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• 2020

The amount of content on social media platforms such as Twitter is expanding rapidly. Simultaneously, the lack of patient information seriously hinders the diagnosis and treatment of rare/intractable diseases. However, these patient communities are especially active on social media. Data from social media could serve as a source of patient-centric knowledge for these diseases complementary to the information collected in clinical settings and patient registries, and may also have potential for research use. To explore this question, we attempted to extract patient-centric knowledge from social media as a task for the 3-day Biomedical Linked Annotation Hackathon 6 (BLAH6). We selected amyotrophic lateral sclerosis and multiple sclerosis as use cases of rare and intractable diseases, respectively, and we extracted patient histories related to these health conditions from Twitter. Four diagnosed patients for each disease were selected. From the user timelines of these eight patients, we extracted tweets that might be related to health conditions. Based on our experiment, we show that our approach has considerable potential, although we identified problems that should be addressed in future attempts to mine information about rare/intractable diseases from Twitter.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.391-406
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• 2015

Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.

• 한국안전학회지
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• 제31권6호
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• pp.113-120
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• 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.

• 한국보육지원학회지
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• 제14권6호
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• pp.187-203
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• 2018

Objective: This study aimed to examine the mediating effect of mothers' parenting stress on the relationship between their self-differentiation and the tendency of addiction to social media. Methods: The participants in this study were two hundred and eight mothers with children aged 36 months or younger. Data were analyzed statistically using frequency, Pearson's correlation coefficients, and hierarchical multiple regression analysis. Results: The results of the present study are as follows. First, the mothers' self-differentiation was negatively associated with their parenting stress and social media addiction tendency. Second, both the total scores of the mothers' parenting stress and their distress were found to partially mediate the relationship between their self-differentiation and social media addiction tendency. However, the mothers' daily stress did not mediate the relationship between the variables. Conclusion/Implications: The findings of the current study have implications for developing ways of intervening in mothers' social media addiction tendency by reducing their parenting stress, particularly for mothers with low levels of self-differentiation.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.187-198
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• 2021

The objective of this study is to examine the direct and indirect influences of government's role, organizational commitment, and media exposure on the corporate social and environmental responsibility disclosure (CSERD) of 42 Indonesian state-owned enterprises (SOEs) with good corporate governance as the mediator. This study uses a quantitative approach with path analysis to test the hypothesis. The sample in this study was directors of 42 state-owned enterprises in Indonesia. The data was collected using a questionnaire with items assessed on a five-point Likert scale. This study finds that 1) the government's role, organizational commitment, and media exposure have direct influences on good corporate governance and corporate social responsibility disclosure; 2) the government's role and organizational commitment have significant influences on corporate social and environmental responsibility disclosure with the mediation of good corporate governance, indicating that government's role and the organizational commitment are factors affecting Indonesian state-owned enterprises; and 3) the media exposure through good corporate governance mediation does not have a significant effect on corporate social and environmental responsibility disclosure. This means that media exposure is only one of the tools for CSERD, while SOEs have no obligation to disclose CSER through website or printed media.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.219-230
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• 2022

The goal of this research is to look into the relationship between social media marketing activities and brand attachment in the online marketing business, based on the indirect effect of perceived value and self-brand connections. For this reason, the study has used self-administered questionnaires to collect the data from 425 males from the major cities of Pakistan including Islamabad, Karachi, Lahore, and Sialkot. Furthermore, based on the PLS-SEM technique the empirical findings show that social media marketing activities positively affect perceived value, self-brand connections, and brand attachment. Perceived value has a significant positive impact on brand attachment and mediates the influence of social media marketing activities on brand attachment. In addition to this, self-brand connections have a positive effect on brand attachment, and self-brand connections mediate the relationship between them. Thus, firms employing social media marketing activities successfully in their branding build upon a positive perception of the brand in the customer's mind resulting in customer attachment with the brand. This study can assist the e-commerce managers and brand managers in building strong customer attachment via perceived value and self-brand connections.

• Asian Journal for Public Opinion Research
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• 제11권1호
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• pp.4-30
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• 2023

Previous research has empirically demonstrated the negative effects of social media use on young people's psychological well-being. Unlike most previous studies that focused on either Facebook or Instagram, this study comparatively examined the differences in upward comparison and its effects on self-esteem, life satisfaction, and depression between Facebook and Instagram. An analysis of survey data from 641 Korean college students, who reportedly use these two social media more actively than any other age group, found that college students experience more upward comparisons on Instagram than on Facebook. Upward comparisons on both Facebook and Instagram increased by college students' age and weekly usage time. Upward comparisons on Instagram increased by the additional factors of gender (females more than males) and number of "followings." Subsequently, the effects of upward comparison on psychological well-being were found to differ by social media platform. Upward comparisons were found to negatively impact all determinants of psychological well-being only on Instagram, but not on Facebook. The differences in upward comparison and its impact on young users' psychological well-being found in this study were discussed in terms of the different functional characteristics of the two social media platforms, which provides direction for further research needed to establish guidelines for healthy social media use by young people.