• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.223-231
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• 2021

The study aimed to investigate the impact of social networks safety (SNS) on the marketing information quality (MIQ) during the COVID-19 pandemic in Saudi Arabia. The study examines the statistical differences in social networks safety SNS and marketing information quality MIQ according to the demographics such as age, sex, income, and education. For this study purpose, information security and privacy are two components of social networks safety. The research materials are website resources, regular books, journals, and articles. The population includes all Saudi users of social networks. The figures show that active users of the social network reached 25 Million in 2020. The snowball method was used and sample size is 500 respondents and the questionnaire is the tool for the data collection. The Structural Equation Modelling SEM technique is used. Convergent Validity, Discriminate Validity, and Multicollinearity are the main assumptions of structural equation modeling SEM. The findings show the high positive impact of SNS networks safety on MIQ and the statistical differences in such variables refer to education. Finally, the study presents a set of future suggestions to enhance the safety of social networks in Saudi Arabia.

• Human Ecology Research
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• 제60권1호
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• pp.21-38
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• 2022

This study uses text mining compares and contrasts consumers' social media discourses on dietary related zero-waste movement before and after COVID-19. The results indicate that the amount of buzz on social networks for the zero- waste movement has been increasing after COVID-19. Additionally, the results of frequency analysis and topic modeling revealed that subjects associated with zero-waste movement were more diversified after COVID-19. Although the results of a sentiment analysis and word cloud visualization confirmed that consumers' positive responses toward the zero-waste have been increasing, they also revealed a need to educate and encourage those who are still not aware of the need for zero-waste. Finally, consumers mentioned only a small number of companies participating in zero-waste movement on SNS, indicating that the level of active involvement by such companies is much lower than that of consumers. Theoretical and educational implications as well as those for government policy-making are considered.

• 한국의류학회지
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• 제44권5호
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• pp.1019-1035
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• 2020

This study examines the millennial generation, who express themselves and share information on social media after experiencing constantly changing 'hot places' (places of interest) in contemporary cities, with the goal of analyzing space consumption behaviors. Data were collected via an Instagram crawler application developed with Python 3.4 administered to 19,262 posts using the term 'hot places' from November 1 and December 15, 2019. Issues were derived from a text mining technique using Textom 2.0; in addition, semantic network analysis using Ucinet6 and the NetDraw program were also conducted. The results are as follows. First, a frequency analysis of keywords for hot places indicated words frequently found in nouns were related to food, local names, SNS and timing. Words related to positive emotions felt in experience, and words related to behavior in hot places appeared in predicate. Based on importance, communication is the most important keyword and influenced all issues. Second, the results of visualization of semantic network analysis revealed four categories in the scope of the definition of "hot place": (1) culinary exploration, (2) atmosphere of cafés, (3) happy daily life of 'me' expressed in images, (4) emotional photos.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.308-315
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• 2016

With the advancement in the area of cloud storage services as well as a tremendous growth of social networking sites, permission for one web service to act on the behalf of another has become increasingly vital as social Internet services such as blogs, photo sharing, and social networks. With this increased cross-site media sharing, there is a upscale of security implications and hence the need to formulate security protocols and considerations. Recently, OAuth, a new protocol for establishing identity management standards across services, is provided as an alternative way to share the user names and passwords, and expose personal information to attacks against on-line data and identities. Moreover, OwnCloud provides an enterprise file synchronizing and sharing that is hosted on user's data center, on user's servers, using user's storage. We propose a secure Social Networking Site (SSN) access based on OAuth implementation by combining two novel concepts of OAuth and OwnCloud. Security analysis and performance evaluation are given to validate the proposed scheme.

• Asian Journal for Public Opinion Research
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• 제8권3호
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• pp.393-406
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• 2020

The discourse on the lockdown in Indonesia is getting stronger due to the increasing number of positive cases of the coronavirus and the death rate. As of August 12, 2020, the confirmed number of COVID-19 cases in Indonesia reached 130,718. There were 85,798 victims who have recovered and 5,903 who have died. Data show a significant increase in cases of COVID-19 every day. For this reason, there needs to be an evaluation of the government policy of the Republic of Indonesia in dealing with the COVID-19 pandemic in Indonesia. An evaluation of policies for handling the pandemic must include public opinion to determine any weaknesses of this policy. The development of public opinion about the lockdown policy can be understood through social media. During the COVID-19 pandemic, measuring public opinion through traditional methods (surveys) was difficult. For this reason, we utilized big data on social media as research data. The main purpose of this study is to understand public opinion on the lockdown policy in overcoming the COVID-19 pandemic in Indonesia. The things observed included: volume of Twitter users, top influencers, top tweets, and communication networks between Twitter users. For the methodological development of future public opinion research, the researchers outline the obstacles faced in researching public opinion based on big data from Twitter. The research results show that the lockdown policy is an interesting issue, as evidenced by the number of active users (79,502) forming 133,209 networks. Posts about the lockdown on Twitter continued to increase after the implementation of the lockdown policy on April 10, 2020. The lockdown policy has caused various reactions, seen from the word analysis showing 14.8% positive sentiment, 17.5% negative, and 67.67% non-categorized words. Sources of information who have played the roles of top influencers regarding the lockdown policy include: Jokowi (the president of the Republic of Indonesia), online media, television media, government departments, and governors. Based on the analysis of the network structure, it shows that Jokowi has a central role in controlling the lockdown policy. Several challenges were found in this study: 1) choosing keywords for downloading data, 2) categorizing words containing public opinion sentiment, and 3) determining the sample size.

• Journal of Contemporary Eastern Asia
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• 제18권2호
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• pp.16-32
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• 2019

Media manipulation of breaking news through article selection, ranking and tweaking of social media data and comment streams is a growing concern for society. We argue that the combination of human and machine curation on media portals marks a new period for news media and journalism. Although intermediary platforms routinely claim that they are merely the neutral technological platform which facilitates news and information flows, rejecting any criticisms that they are operating as de facto media organisations; instead, we argue for an alternative, more active interpretation of their roles. In this article we provide a contemporary account of the South Korean ('Korean') online news media ecology as an exemplar of how contemporary media technologies, and in particular portals and algorithmic recommender systems, perform a powerful role in shaping the kind of news and information that citizens access. By highlighting the key stakeholders and their positions within the production, publication and distribution of news media, we argue that the overall impact of the major portal platforms of Naver and Kakao is far more consequential than simply providing an entertaining media diet for consumers. These portals are central in designing how and which news is sourced, produced and then accessed by Korean citizens. From a regulatory perspective the provision of news on the portals can be a somewhat ambiguous and moving target, subject to soft and harder regulatory measures. While we investigate a specific case study of the South Korean experience, we also trace out connections with the larger global media ecology. We have relied on policy documents, stakeholder interviews and portal user 'walk throughs' to understand the changing role of news and its surfacing on a distinctive breed of media platforms.

• 한국콘텐츠학회논문지
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• 제21권8호
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• pp.546-558
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• 2021

본 연구는 코로나19 상황에서 지역사회 먹을거리 관련 이슈를 살펴보았으며, 온라인 공간에서 생산된 소셜 빅데이터의 내용을 분석하는 데 초점을 맞췄다. 우선, 코로나19로 사회적 거리두기가 시행된 후 지역별 홈페이지와 온라인 커뮤니티인 카페에서 확산한 먹을거리 관련 이슈를 분석했다. 다음으로는 언론 뉴스, SNS, 포털 등에서 확산하는 먹을거리 관련 이슈의 내용을 살펴봤다. 그 결과 서울과 경기 등 수도권에 비해 여타 지역 홈페이지에 먹을거리 관련 게시물이 더 많았지만, 온라인 커뮤니티의 경우에는 서울과 경기 지역에 등록된 온라인 커뮤니티에 먹을거리 관련 이슈가 더 많았다. 지역별 온라인 커뮤니티의 먹을거리 관련 키워드는 지역사회 경제와 관련한 내용을 주로 포함하고 있었다. 언론 기사, SNS, 검색포털 이슈에는 지역사회 먹을거리 관련 정책, 정보, 상품 등의 소비과정에서 논의될 수 있는 내용이 주로 나타났다. 연구결과를 통해 지역사회 단위로 특화한 정보 공유체계는 발견되지 않고, 온라인 커뮤니티가 현실적인 먹을거리 정보를 제공하는 데 기여할 수 있으며, 소셜미디어를 통해 지역별 먹을거리 정책의 성과검증이 가능할 것이라는 점을 발견할 수 있었다.

• Journal of Information Technology Applications and Management
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• 제20권4호
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• pp.263-278
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• 2013

SNS users have increased at rapid rate. Many firms are expected to use SNS, especially in marketing area. This study describes a SNS-based new products promotion case study. We aim to identify how differently SNS users respond to different types of SNS media or SNS contents. In this analysis marketing effects are measured in a number of website hits. The study result shows how the number of user's hits differs upon a combination of SNS media and SNS contents.

• 대한공간정보학회지
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• 제23권2호
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• pp.89-96
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• 2015

위치기반 소셜 미디어 데이터는 빅데이터, 위치기반서비스 등 다양한 분야에서 활용가능성이 매우 큰 데이터이다. 본 연구에서는 위치기반 소셜 미디어 데이터의 텍스트 정보를 분석하여 주요한 키워드들이 공간적으로 어떻게 분포하고 있는지를 파악할 수 있는 일련의 분석방법론을 적용해보았다. 이를 위해, 위치태그를 지닌 트윗 데이터를 서울시 강남지역과 그 주변지역에 대하여 2013년 8월 한달 간 수집하였으며, 이 데이터를 대상으로 하여 텍스트 마이닝을 통해 주요 키워드들을 도출하였다. 이러한 키워드들 중 음식, 엔터테인먼트, 업무 및 공부의 세 카테고리에 해당하는 키워드들만 추출, 분류하였으며 각 카테고리에 해당하는 트윗 데이터들에 대해서 공간적 클러스터링을 실시하였다. 도출된 각 카테고리별 클러스터들을 실제 그 지역의 건물 또는 벤치마크 POI들과 비교한 결과, 음식 카테고리 클러스터는 대규모 상업지역들과 일치도가 높았고 엔터테인먼트 카테고리의 클러스터는 공연장, 극장, 잠실운동장 등과 일치하였다. 업무 및 공부 카테고리 클러스터들은 학원 밀집지역 및 사무용 빌딩 밀집지역과 높은 일치도를 나타내었다.

• 디지털융복합연구
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• 제18권2호
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• pp.249-259
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• 2020

본 연구는 전기자동차(EV)에 대한 소셜미디어 데이터를 기반으로 감성분석 (SA)과 속성선택 (FS)방법을 적용하여 전기자동차에 대한 일반 사람들의 의견을 보다 효과적이고 정확히 예측할 수 있는 새로운 방법론을 제안한다. 구체적인 방법은 다음과 같다. 첫째, 유튜브에 있는 전기자동차에 대한 일반 사람들의 의견을 추출하였다. 둘째, 분석의 효과성을 증대하기 위하여 카이 스퀘어, 정보획득량, 릴리프에프 등 세가지 속성선택 방법을 적용하였다. 그 결과 로지스틱 회귀분석 및 서포트 벡터 머신 분류 기법에서 가장 의미있는 결과를 얻을 수 있다는 것이 확인되었다.