• 제목/요약/키워드: social media logic

검색결과 12건 처리시간 0.026초

Focus Group Based Evaluation of Social Media Usage in Indonesia's Digital Government

  • Kartikawangi, Dorien
    • Asian Journal for Public Opinion Research
    • /
    • 제8권1호
    • /
    • pp.41-58
    • /
    • 2020
  • This article attempts to explain social media use within the relationship between the public and government of Indonesia in the era of digital government, as well as to consider public opinion on this matter. This research is based on the application of social media logic and the theory of dialogic communication and action. A qualitative descriptive approach was used to observe the general behavior of social media use by 34 ministries in Indonesia, including interviews with the resource persons within the ministries and focus group discussions with members of the public and observers. The research shows that the relationship between the public and government is accommodative and in line with social media logic. The public sector implemented social media as its platform, which has been further adopted by all ministries. The public sector cannot avoid social media, as it has become part of basic connectivity, even though the use of social media by the government still tends to be in the form of presenting public information. There are advantages and disadvantages of the usage of social media by the government. The advantages include allowing the government to be more open via social media so that communication between the government as the ruling organization and its public can be more fluent. Social media provides space to the public sector in the practice of digital government. Some disadvantages arise as logical consequences that usage of social media cannot be separated from the implementation of digital government. The adaptive behavior of social media by the government can be found by following social media logic as part of digital government implementation. Social media logic causes the government to follow the rules of social media. In this context, the strength and power of the country seems to be regulated by social media. Therefore, more studies on how social media is managed in the context of its usage as digital government support is needed.

소셜 미디어에 의한 패션쇼의 재매개 (Remediation of fashion shows through social media)

  • 김세진
    • 복식문화연구
    • /
    • 제29권5호
    • /
    • pp.694-705
    • /
    • 2021
  • Forming perceptions and having experiences through digital media is becoming more common than having in-person relationships in digital media environment. This study, which was conducted when Fashion Week transitioned to a digital platform in 2020, focuses on fashion shows that are announced through social media. The purpose of the study is to explore how traditional fashion media change through social media and what their media characteristics are from the perspective of remediation, which has been suggested by Bolter and Grusin (1999) as the logic of change in the new media. The results of the case analysis in this study, based on the definition and logic of remediation outlined through a literature review, are that social media fashion shows are remediated from traditional fashion shows in the manner that they are represented, improved, refashioned, and absorbed. The characteristics of remediation expressed in social-media-based fashion shows were derived from repurposed video content, improved the elements of fashion shows to express the shows in various ways, expanded places within the fashion shows, and decontextualized and visually flattened spatial discontinuity, and from genre transitions and perceptual shifts. Social-media-based fashion shows are becoming a tool to renew the fashion experience and views of fashion and strengthen the authenticity of the brand by interacting with the audience, improving on the spatial limitations of traditional fashion shows, and diversifying fashion presentation methods.

온라인 구전이 영화매출에 미치는 영향: 소유미디어와 획득미디어의 조절효과를 중심으로 (The Effect of Online Word of Mouth on Movie Sales: Moderating Roles of Types of Social Media)

  • 이중원;박철
    • 경영정보학연구
    • /
    • 제21권2호
    • /
    • pp.29-50
    • /
    • 2019
  • 소셜 미디어는 정보원천에 따라 기업이 운영하는 소유미디어(Owned Media)와 고객 등 제3자가 콘텐츠를 생산하며 기업이 통제할 수 없는 획득미디어(Earned Media)로 구분된다. 소셜 미디어 선행연구는 소셜 미디어의 브랜드 관련 콘텐츠가 잠재고객의 브랜드의 인지도를 높이고, 브랜드 태도를 긍정적으로 변화시킴으로써 궁극적으로 매출과 기업성과를 증가시킨다는 논리를 전개하고 있다. 하지만 선행연구는 대부분 소셜 미디어의 정보원천에 따른 미디어 시너지 효과의 차이를 충분히 설명하지 못한다는 한계점이 있다. 소비자는 정보처리 상황에 따라 미디어의 정보를 취사선택할 가능성이 높기 때문에, 통합된 미디어 관리가 매우 중요하다고 할 수 있다. 본 연구의 목적은 리뷰사이트의 온라인 구전과 소셜 미디어 구전(소유미디어, 획득미디어)이 영화 매출에 미치는 영향을 분석하는 것이다. 이를 위해 2017년 개봉한 국내영화의 리뷰 데이터 3,589개를 분석하였다. 연구결과 리뷰사이트 구전과 소셜 미디어 구전(소유미디어, 획득미디어)은 모두 영화 매출에 긍정적인 영향을 미쳤다. 하지만 리뷰사이트 구전을 조절하는 효과는 소유미디어와 획득미디어가 다른 것으로 나타났다.

FLORA: Fuzzy Logic - Objective Risk Analysis for Intrusion Detection and Prevention

  • Alwi M Bamhdi
    • International Journal of Computer Science & Network Security
    • /
    • 제23권5호
    • /
    • pp.179-192
    • /
    • 2023
  • The widespread use of Cloud Computing, Internet of Things (IoT), and social media in the Information Communication Technology (ICT) field has resulted in continuous and unavoidable cyber-attacks on users and critical infrastructures worldwide. Traditional security measures such as firewalls and encryption systems are not effective in countering these sophisticated cyber-attacks. Therefore, Intrusion Detection and Prevention Systems (IDPS) are necessary to reduce the risk to an absolute minimum. Although IDPSs can detect various types of cyber-attacks with high accuracy, their performance is limited by a high false alarm rate. This study proposes a new technique called Fuzzy Logic - Objective Risk Analysis (FLORA) that can significantly reduce false positive alarm rates and maintain a high level of security against serious cyber-attacks. The FLORA model has a high fuzzy accuracy rate of 90.11% and can predict vulnerabilities with a high level of certainty. It also has a mechanism for monitoring and recording digital forensic evidence which can be used in legal prosecution proceedings in different jurisdictions.

종합편성채널의 부상과 오락적 정론장(政論場)의 형성 정치-미디어 체계 간 구조적 접속의 새로운 양상 (The Emergence of General Programming Channels and the Formation of Entertaining Media-Political Sphere A New Pattern of Structural Coupling between the Political and the Media Systems)

  • 정준희
    • 한국언론정보학보
    • /
    • 제77권
    • /
    • pp.73-107
    • /
    • 2016
  • 이 연구는 한국 사회의 종합편성채널이 단지 미디어 산업 내부에서의 경제적 효과에 국한되지 않는 광범위 사회적 영향력을 지닌 저널리즘 기구로 성장했다고 판단한다. 종합편성채널은 방송 저널리즘이라는 특수한 사회적 행위에 기초를 두어 다양한 특권을 확보하고 그를 통해 비즈니스적 운신의 폭을 넓히는 사회정치적 제도의 일종인 셈이다. 따라서 이 연구는 종합편성채널의 사회정치적 특성을 규명하기 위한 목적에서 이론적 자원을 검토하고 적절한 개념적 장치를 마련하는 데 초점을 맞춘다. 이를 위해 정치와 미디어 사이의 상호 관계성을 다루는 다양한 개념과 이론에 주목하는데, 정치에 의한 미디어의 도구화, 미디어 권력화, 정치 병행성, 정치-미디어 체계 간 구조적 접속 등이 그것이다. 이론적 검토와 개념화의 결과로, 이 연구는 종합편성채널이 정치 체계와 미디어 체계의 구조적 접속을 상시화하는 새로운 인터페이스로 부상했으며, 미약하게나마 존재하고 있던 미디어 공론장의 쇠락을 촉진하면서 그것을 대체하는 오락적 정론장을 형성시켰다고 제안한다. 오락적 정론장은 정치 체계의 정치 논리와 미디어 체계의 미디어 논리가 착종되는 독특한 공간으로서, 정치의 미디어화는 물론 미디어의 정치화를 동시에 가속화시키는 기능을 수행하고 있다고 판단한다. 이로 인해 정치-미디어 체계 사이의 기존 경계가 붕괴되는 상황이 촉발될지, 아니면 제3의 체계 형성이 유도될지 속단하기는 아직 이르다. 다만 새로운 인터페이스로 부상한 이 오락적 정론장이 정치 체계와 미디어 체계의 작동에 영향을 미침으로써 부분적 구조 변화로 이어질 가능성을 타진해 볼 필요는 있다.

  • PDF

A Novel Approach to Predict the Longevity in Alzheimer's Patients Based on Rate of Cognitive Deterioration using Fuzzy Logic Based Feature Extraction Algorithm

  • Sridevi, Mutyala;B.R., Arun Kumar
    • International Journal of Computer Science & Network Security
    • /
    • 제21권8호
    • /
    • pp.79-86
    • /
    • 2021
  • Alzheimer's is a chronic progressive disease which exhibits varied symptoms and behavioural traits from person to person. The deterioration in cognitive abilities is more noticeable through their Activities and Instrumental Activities of Daily Living rather than biological markers. This information discussed in social media communities was collected and features were extracted by using the proposed fuzzy logic based algorithm to address the uncertainties and imprecision in the data reported. The data thus obtained is used to train machine learning models in order to predict the longevity of the patients. Models built on features extracted using the proposed algorithm performs better than models trained on full set of features. Important findings are discussed and Support Vector Regressor with RBF kernel is identified as the best performing model in predicting the longevity of Alzheimer's patients. The results would prove to be of high value for healthcare practitioners and palliative care providers to design interventions that can alleviate the trauma faced by patients and caregivers due to chronic diseases.

Chaotic Phenomena in Addiction Model for Digital Leisure

  • Bae, Youngchul
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • 제13권4호
    • /
    • pp.291-297
    • /
    • 2013
  • Chaotic dynamics have been studied by many researchers in the fields of biology, physics, and engineering. Interest in chaos is also expanding to the social sciences such as politics, economics, and others, including the prediction of societal events. The concept of leisure has developed from a passive concept correlated with relaxation, entertainment, and ideology formation into a positive concept that assumes a more active role. As information and communications technology develops, digital leisure activity is expected to continue spreading. This expansion of digital leisure function correctly, as well as. Traditional leisure activity functions correctly more, whereas digital leisure activity is predicted to function incorrectly more often. In this paper, we propose a mathematical addiction model of digital leisure that deals with its dysfunctions such as addiction to digital leisure, including computer games, internet search, internet chatting, and social media. Herein, to solve addiction to digital leisure, we propose a model derived from a nicotine addiction.

게임 이용이 자기 효능감 및 사회신뢰에 미치는 영향 (Effects of game playing for self-efficacy and social trust)

  • 박상민;정완규;노기영
    • 한국게임학회 논문지
    • /
    • 제17권2호
    • /
    • pp.55-62
    • /
    • 2017
  • 본 논문은 온라인 모바일 게임이용이 자기 효능감(self-efficacy) 및 사회성(sociality), 사회적 신뢰(social trust)에 대해 갖는 효과를 검증하고자 하는 목적에서 쓰여졌다. 본 논문은 모바일 플랫폼의 등장에 따라 게임에 광범위하게 도입되고 있는 SNS적 요소(커뮤니티 운영과 소통기능)에 주목하였고, 이러한 논리에 근거하여 게임플레이는 게임유저의 자기 효능감과 사회성, 사회적 신뢰를 높인다는 가설을 설정하였다. 연구를 위해 전문여론조사기관에 의뢰해 전국 대표성을 가진 샘플 1500명을 대상으로 온라인 서베이를 시행하였다. 연구 결과 온라인 게임 플레이는 유저들의 자기 효능감을 높일 뿐만 아니라, 사회성 및 사회적 신뢰의 향상에 직 간접적인 영향을 미치는 것으로 나타났다.

텍스트 분석을 활용한 국가 현안 대응 R&D 정보 패키징 방법론 (Methodology Using Text Analysis for Packaging R&D Information Services on Pending National Issues)

  • 현윤진;한희준;최희석;박준형;이규하;곽기영;김남규
    • Journal of Information Technology Applications and Management
    • /
    • 제20권3_spc호
    • /
    • pp.231-257
    • /
    • 2013
  • The recent rise in the unstructured data generated by social media has resulted in an increasing need to collect, store, search, analyze, and visualize it. These data cannot be managed effectively by using traditional data analysis methodologies because of their vast volume and unstructured nature. Therefore, many attempts are being made to analyze these unstructured data (e.g., text files and log files) by using commercial and noncommercial analytical tools. Especially, the attempt to discover meaningful knowledge by using text mining is being made in business and other areas such as politics, economics, and cultural studies. For instance, several studies have examined pending national issues by analyzing large volumes of texts on various social issues. However, it is difficult to create satisfactory information services that can identify R&D documents on specific national issues from among the various R&D resources. In other words, although users specify some words related to pending national issues as search keywords, they usually fail to retrieve the R&D information they are looking for. This is usually because of the discrepancy between the terms defining pending national issues and the corresponding terms used in R&D documents. We need a mediating logic to overcome this discrep 'ancy so that we can identify and package appropriate R&D information on specific pending national issues. In this paper, we use association analysis and social network analysis to devise a mediator for bridging the gap between the keywords defining pending national issues and those used in R&D documents. Further, we propose a methodology for packaging R&D information services for pending national issues by using the devised mediator. Finally, in order to evaluate the practical applicability of the proposed methodology, we apply it to the NTIS(National Science & Technology Information Service) system, and summarize the results in the case study section.

온톨로지 기반의 사용자 중심 융합 컨텐츠 디자인 정보 검색에 관한 연구 (A Study on the Ontology-Based Regional User-centric convergence content design information retrieval)

  • 박주옥;염미령;정두용
    • 한국융합학회논문지
    • /
    • 제7권2호
    • /
    • pp.19-24
    • /
    • 2016
  • 인터넷이라는 거대한 정보의 공간에서 스마트 모바일 웹을 통해 사용자들은 다양한 지식분야에 대한 정보를 얻을 뿐만 아니라 개인 블로그나, SNS를 비롯한 다양한 매체를 통해 접근하고 검색을 수시로 하고 있다. 이에 따라 최근에 들어서는 방대한 웹의 자료를 시맨틱 웹이라는 기술을 통해 효과적으로 관리 및 연구하고 있다. 허나, 아직도 여러 분야로 다양하게 분포되어 있는 정보들을 통합하고, 사용자 중심 지식 정보 검색은 예전에 비해 많이 향상은 되었지만, 지식 정보 검색에 대한 연구는 상대적으로 부족하다. 이에, 본 논문에서는 시맨틱 웹을 이용하여 방대하고 지식이 넘쳐나는 정보의 공간에서 분산된 정보 및 지식들을 사용자 중심에 맞게 신뢰성을 높일 수 있는 적합한 형태의 정보 검색을 연구하고자 한다.