• 제목/요약/키워드: Social Media Use

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국내 주요 언론사 기자들의 소셜미디어 이용 가치체계 연구 -래더링 분석을 중심으로 (A Study on the Value System of Social Media Usage by Korean Journalists -Focusing on the Results of Laddering Method)

  • 방은주;김성태
    • 한국언론정보학보
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    • 제67권
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    • pp.209-240
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    • 2014
  • 기자들은 소셜미디어에 접속하여 정보를 찾고 사실을 확인하기도 하며 정보원과 접촉한다. 기자들은 소셜미디어를 통해 정보 확인 및 정보원과 소통하면서 왜 소셜미디어를 이용하는지 그 이용에 관한 내재된 가치를 정확히 알기 어렵다. 본 연구는 기자들의 소셜미디어 활용의 중요한 원인을 이해하는 것이 필요하다고 생각되는 바, 기자들이 소셜미디어를 활용하는데 내재하는 핵심 가치를 체계적으로 밝히고자 한다. 이를 통해 기자들이 소셜미디어 활용을 하게 되는 숨겨진 요인을 찾을 수 있고 기자 집단들의 소셜미디어 이용과 관련된 특정 가치와의 관계를 설명 할 수 있다. 소셜미디어 활용의 주요한 요인이 되는 가치를 밝히기 위해 수단-목적 사슬 이론을 기반으로 한 래더링 기법을 이용하였다. 분석을 위해, 기자 46명을 대상으로 심층 인터뷰함으로써 기자들이 소셜미디어를 활용하는 과정에서 중요한 속성, 결과, 가치 연결을 밝힌다. 그 결과, 소셜미디어 활용은 동질감/동화/공감, 균형적 지식, 알고자 하는 가치에 기여하고 있었다. 이는 소셜미디어를 활용하는 기자들이 트위터와 페이스북 활용을 통해 사람들과 동질감을 얻고 정보에 접근하여 균형적 지식 및 알고자 하는 욕구를 추구하고 있음을 검증 할 수 있었다. 래더링 기법을 통해 기자들이 소셜미디어를 활용하는데는 소셜미디어 활용으로 얻게 되는 가치가 중요하다는 점을 확인하였다. 이는 소셜미디어를 활용하는 기자들의 행위를 이해하기 위해 소셜미디어를 이용하는 동기로서 내재된 가치를 밝힐 필요가 있음을 보여준다.

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The Influence of Message Frame and Appeal on the Effectiveness of Social Media in Dietary Behavior

  • Lee, Eun-Mi
    • International Journal of Advanced Culture Technology
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    • 제7권3호
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    • pp.86-91
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    • 2019
  • The goal of this study is to identify how different types of messages can contribute to the effectiveness of social media in healthier dietary behavior. The sample consisted of 160 participants who use social media and participants were randomly assigned to one of the four experimental conditions. The study shows that a positively framed message paired with a health focused message and a negatively framed message paired with a body image focused message exhibit a positive eWOM and message perception. This research offers direction for development of appropriate message types to improve social media effectiveness. Social media marketers and advertisers can develop social media content on healthier dietary behavior.

Involvement of Social Media in Disaster Management during the Wenchuan and Ya'an Earthquakes

  • Li, Leah Xiufang
    • Asian Journal for Public Opinion Research
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    • 제1권4호
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    • pp.249-267
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    • 2014
  • Social media is being increasingly utilized in disaster relief work to identify safety issues, locate displaced-victims, and seek or provide support for those who need help. The presence of social media in disaster management has changed significantly in recent years, as it was not prevalent in the 2008 Wenchuan earthquake, but had become a powerful force in the 2013 Ya'an earthquake. This paper discusses the development of social media in disaster management via making a comparison between how it functioned in the two earthquakes. It examines the following aspects: who are the stakeholders that use social media in the earthquake management; how do they adopt this means in response to the earthquakes; and what are the outcomes of adopting social media with regards to public engagement and collaboration in an emergency event. As Sina Weibo acts as the equivalent of China's Twitter, the methodology relies on an analysis of posts in Weibo. The outcomes primarily show that: (1) authorities, celebrities and the public actively adopted social media for the purpose of information dissemination and resource mobilization; and (2) social media users are both content consumers and content generators in the times of earthquakes. The study concludes that social media as a backchannel communication tool is helpful for government institutions, corporations, and nonprofit organizations to build relationships with their stakeholders in the disaster management cycle. The result will interest academics and emergency management practitioners who are concerned with improving disaster communication.

토픽 모델링을 이용한 방송미디어 관련 소셜 미디어 콘텐츠 분석 (Analysis of Social Media Contents about Broadcast Media through Topic Modeling)

  • 박상언
    • 한국IT서비스학회지
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    • 제15권2호
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    • pp.81-92
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    • 2016
  • Numerous people share their TV experience with other viewers on social media such as personal blogs and Twitter. It means that broadcast media, especially TV, affects the responses on social media. Moreover, the responses affect broadcast media ratings back. Social TV tried to use the relationship in marketing activities such as advertisement by analyzing the TV related social behavior. However, most of them used just the quantities of social media responses. This study analyzes the subjects of the responses on social media about specific TV dramas through topic modeling, and the relationship between the changes of popular topics and viewer ratings of the drama over specified periods. Five representative Korean dramas of 2014 were selected and Blog contents including viewer ratings about the dramas were collected from naver.com which is the representative portal in South Korea. The proposed analysis framework consists of three steps which are Blogs crawling, topic modeling, and topic trend analysis. We found some implications from the results of the topic trend analysis. Firstly, there were specific topics on dramas in social media. Secondly, the topics had some meaningful relationships with viewer ratings. Lastly, there were differences between the topics of dramas with higher viewer ratings and those with lower viewer ratings.

Online Social Media Review Mining for Living Items with Probabilistic Approach: A Case Study

  • Li, Shuai;Hao, Fei;Kim, Hee-Cheol
    • 스마트미디어저널
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    • 제2권2호
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    • pp.20-27
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    • 2013
  • The concept of social media is top of the agenda for many business executives and decision makers, as well as consultants try to identify ways where companies can make profitable use of applications such as Netflix, Flixster. The social media is playing an increasingly important role as the information sources for customers making product choices etc. With the flourish of Web 2.0 technology, customer reviews are becoming more and more useful and important information resources for people to save their time and energy on purchasing products that they want. This paper proposes the Bayesian Probabilistic Classification algorithm to mine the social media review, and evaluates it by different splits and cross validation mechanism from the real data set. The explored study experimental results show the robustness and effectiveness of proposed approach for mining the social media review.

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지방자치단체의 소셜미디어 기록관리 지침 마련을 위한 구성요소 도출 연구 국외 정책·사례 중심으로 (A Study on the Development of Components for Local Government's Records Management of Social Media Guidelines : Focused on Overseas Policy·Cases)

  • 이정민;이정은;신청룡;오효정
    • 기록학연구
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    • 제65호
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    • pp.111-150
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    • 2020
  • 일명 '소통의 혁명'으로 불리는 소셜미디어는 현대사회의 주요한 소통과 서비스 수단으로 자리매김 한다. 기존의 미디어와는 다르게 쌍방향적인 정보의 전달이 가능하다는 장점은 이미 개인 간의 이용 차원을 넘어 정부 차원에서도 활용을 위한 노력을 지속하고 있다. 실제 우리나라 지방자치단체에서는 다양한 목적을 가지고 하나 이상의 소셜미디어를 운영하고 있으며, 이를 통해 자치단체의 정책을 홍보하거나 지역주민을 대상으로 신속한 정보를 전달하고 있다. 이러한 소셜미디어 기록은 공공의 업무 수행을 바탕으로 하고 있으며, 기록으로 관리되어야 한다. 그러나 현재 공공 기록관리의 영역에서 소셜미디어 기록관리를 위한 법적 기반이 미미하여 각 지방자치단체에서는 기록관리의 필요성을 인식하지 못하고 있다. 지방자치단체에서 운영하는 소셜미디어는 그 유형도 다를 뿐만 아니라 표준화된 지침으로 관리되기가 어렵다. 그럼에도 불구하고 소셜미디어 기록을 관리하고 보존하기 위한 최소한의 지침 마련이 필요하다. 본 연구는 이 점에 주목하여 소셜미디어 기록관리 지침 마련 시 최소한의 공통 요소를 도출하는데 목적을 둔다. 이를 위하여 이미 소셜미디어를 체계적으로 관리하고 있는 선진 국가가 제정하고 있는 지침 및 정책을 분석하였으며, 공통적으로 포함하고 있는 항목과 특징을 도출하였다. 또한 실제 소셜미디어 기록을 수집하여 운영하고 있는 아카이브와 비교하여 지침의 적용 여부를 확인하였다. 이 연구는 실제 소셜미디어 아카이브 운영 현황을 통해 지방자치단체 소셜미디어 기록관리를 위한 지침 개발에 포함되어야 할 구성요소를 제안하였다는 점에서 의의가 있다.

A proof-of-concept study of extracting patient histories for rare/intractable diseases from social media

  • Yamaguchi, Atsuko;Queralt-Rosinach, Nuria
    • 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.

Trust in User-Generated Information on Social Media during Crises: An Elaboration Likelihood Perspective

  • Pee, L.G.;Lee, Jung
    • Asia pacific journal of information systems
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    • 제26권1호
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    • pp.1-21
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    • 2016
  • Social media is increasingly being used as a source of information during crises, such as natural disasters and civil unrests. However, the quality and truthfulness of user-generated information on social media have been a cause of concern. Many users find distinguishing between true and false information on social media difficult. Basing on the elaboration likelihood model and the motivation, opportunity, and ability framework, this study proposes and empirically tests a model that identifies the information processing routes through which users develop trust, as well as the factors that influence the use of these routes. The findings from a survey of Twitter users seeking information about the Fukushima Daiichi nuclear crisis indicate that individuals evaluate information quality more when the crisis information has strong personal relevance or when individuals have low anxiety about the crisis. By contrast, they rely on majority influence more when the crisis information has less personal relevance or when these individuals have high anxiety about the crisis. Prior knowledge does not have significant moderating effects on the use of information quality and majority influence in forming trust. This study extends the theorization of trust in user-generated information by focusing on the process through which users form trust. The findings also highlight the need to alleviate anxiety and manage non-victims in controlling the spread of false information on social media during crises.

Opinion-Mining Methodology for Social Media Analytics

  • Kim, Yoosin;Jeong, Seung Ryul
    • 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.

Predicting Media Credibility in China: The Influence of Weibo Use

  • Shen, Fei;Zhang, Hongzhong
    • Asian Journal for Public Opinion Research
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    • 제1권4호
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    • pp.234-248
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    • 2014
  • A telephone survey was conducted in a metropolitan city in 2012 to examine people's credibility ratings of different media outlets, in particular, Weibo - one of the most popular social media platforms in China. Our findings suggest: First, people place more trust in traditional news media than in online sources by a significant margin. Second, demographic influences on media trust seem to be minimal. Only age and gender were related to some credibility measures. Third, Weibo use was not related to one's credibility perception toward traditional media but interestingly, Weibo use showed different impacts on people's evaluation of Weibo's credibility. Commenting frequency was negatively related to one's trust in Weibo, while retweeting frequency was positively related to one's trust in Weibo.