• Title/Summary/Keyword: SNS(social network services)

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Smart Advertising and Smart Coupon Services (스마트 광고 및 스마트 쿠폰 서비스)

  • Lee, Se-Hoon;Kim, Ki-Hun;Shin, Dae-Su;Song, Kang-Min
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.237-240
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    • 2013
  • 21세기 스마트폰이 활성화됨에 따라 SNS(Social Network Service)의 사용이 급증하고 있으며, 기업 및 개인은 SNS의 파장효과를 이용하여 홍보 수단으로 활용하고 있다. 다양한 SNS가 존재함에 따라 각 SNS 별도의 계정을 이용하여 운영하고 있다. 이에 따라 각각의 독립적인 운영으로 관리작업이 늘어나고 효율적인 활용이 제약받게 된다. 본 논문에서는 HTML5 웹 표준화 기술을 적용, 운영체제(OS), 스크린(Screen), 브라우저(Browser)에 제약받지 않는 APP을 구현(implement)하고, 이 APP으로 홍보뿐만 아닌 기존의 쿠폰이 제공하지 못하는 사용자의 편의성 부분을, 스마트폰이 탑재하고 있는 NFC 기반의 모바일 쿠폰시스템까지 구현한다.

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Implementation of Privacy Protection Policy Language and Module For Social Network Services (소셜 네트워크 서비스를 위한 프라이버시 보호 정책언어 및 프라이버시 보호 모듈 구현)

  • Kim, Ji-Hye;Lee, Hyung-Hyo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.1
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    • pp.53-63
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    • 2011
  • An SNS(Social Network Service) enables people to form a social network on online as in the real world. With the rising popularity of the service, side effects of SNSs were issued. Therefore we propose and implement a policy-based privacy protection module and access control policy language for ensuring the right of control of personal information and sharing data among SNSs. The policy language for protecting privacy is based on an attribute-based access control model which grants an access to personal information based on a user's attributes. The policy language and the privacy protection module proposed to give the right of control of personal information to the owner, they can be adopted to other application domains in which privacy protection is needed as well as secure sharing data among SNSs.

Structural Relationships Between Fear of Missing Out, SNS-addictive Tendencies, and Depression in Colleges (대학생의 소외에 대한 두려움, SNS 중독경향성과 우울의 구조적 관계에 관한 조사연구)

  • Jnag, Cheul;Kim, In-Seob
    • Journal of The Korean Society of Integrative Medicine
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    • v.10 no.3
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    • pp.151-159
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    • 2022
  • Purpose : The purpose of this study was to investigate the structural relationships between fear of missing out, addictive tendencies toward social network services (SNSs), and depression in colleges. Methods : The target subjects were students in colleges across gyeongnam & busan, to whom the purpose of the study was explained and who spontaneously agreed to participate. A survey was conducted with 302 participants over 31 days from March 7, 2022, and data from 299 responses was analyzed. Results : 1. Women felt a higher fear of missing out than men. 2. Women showed greater inability to control their use of SNSs, more SNS-related disorders in daily life, and greater immersion in and tolerance of SNSs when compared to men. 3. Women were more depressed than men. 4. Positive correlations were observed between the fear of missing out and SNS-addictive tendencies, between the fear of missing out and depression, and between SNS-addictive tendencies and depression. Conclusion : A comprehensive review of these findings suggests that women had overall higher levels of isolation fear, SNS-addictive tendencies, and depression than men. Based on this, universities should provide gender-specific educational programs around these issues; this student cohort will ultimately work in healthcare, and this kind of awareness will be essential for treating patients. Considering that the current situation poses unusual challenges due to the COVID-19 pandemic, the study's results can serve as basic data for planning educational programs in the future. Over the coming years, comprehensive and continuous education and counselling relating to the fear of missing out, SNS addiction, and depression will be urgently required.

A IoT simulation programs utilizing the Swing components (Swing 컴포넌트를 활용한 IoT 시스템 시뮬레이션 프로그램)

  • Hwang, Jong-sun;Lim, Hyeok;Jang, Jae-Myung;Kim, Han-Gyung;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.666-668
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    • 2015
  • Recent domestic IoT (Internet Of Things) technologies and research is being actively conducted, it actually provides power control, heating control such services in the home or office. Depending on the interest of the IoT so as to provide convenient services to users also increased their users are increasingly questioning or wondering about the operation of IoT system. The system representing an easy to understand the operation of the IoT system is required in order to meet the requirements of those users. For this purpose this paper, Swing utilization by user, sensor, SNS (Social Network Service) when an event occurs, such as the relationship between devices bearing the collaboration process can be monitored with a simulation program was designed and implemented.

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A Sentence Sentiment Classification reflecting Formal and Informal Vocabulary Information (형식적 및 비형식적 어휘 정보를 반영한 문장 감정 분류)

  • Cho, Sang-Hyun;Kang, Hang-Bong
    • The KIPS Transactions:PartB
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    • v.18B no.5
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    • pp.325-332
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    • 2011
  • Social Network Services(SNS) such as Twitter, Facebook and Myspace have gained popularity worldwide. Especially, sentiment analysis of SNS users' sentence is very important since it is very useful in the opinion mining. In this paper, we propose a new sentiment classification method of sentences which contains formal and informal vocabulary such as emoticons, and newly coined words. Previous methods used only formal vocabulary to classify sentiments of sentences. However, these methods are not quite effective because internet users use sentences that contain informal vocabulary. In addition, we construct suggest to construct domain sentiment vocabulary because the same word may represent different sentiments in different domains. Feature vectors are extracted from the sentiment vocabulary information and classified by Support Vector Machine(SVM). Our proposed method shows good performance in classification accuracy.

Analysis of Fake News in the 2017 Korean Presidential Election

  • Go, Seon-gyu;Lee, Mi-ran
    • Asian Journal for Public Opinion Research
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    • v.8 no.2
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    • pp.105-125
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    • 2020
  • The purpose of this paper is to analyze 1) who created and distributed fake news, 2) the distribution channels of fake news, 3) who fake news has targeted, and 4) the effects on voting and the impact of fake news on Korean politics. In South Korea, fake news was mainly created by candidates or election campaigns. The reason is that in the wake of the impeachment of President Park Guen Hye, all the political parties in Korea used fake news as a means of mobilizing supporters for each of their candidates or parties to gain an advantage in situations involving political divisions and confrontations between the pro-impeachment, progressive young generation and anti-impeachment, conservative senior generation. Voters' media usage patterns were polarized through social network services (SNS) media and television. Fake news was mostly received through these two media outlets. According to the spreading structure of fake news in Korea, the younger generation generally uses SNS posts intended for unspecified individuals, and the older generation uses closed SNS like KakaoTalk or Naver's BAND. In the end, it is typically characteristic of the older generation to spread fake news through existing offline human networks. In the 2017 presidential election, fake news has been confirmed to have the effect of mobilizing supporters for each political party. In the presidential election, an increase in voter turnout was confirmed among those in their 20s and those in their 60s or older. Evidently, fake news influenced the election of Moon Jae-In. The influence of fake news is expected to grow further as ideological polarization and consequent political polarization continues to intensify in South Korea.

A Study on Structural Holes of Privacy Protection for Life Logging Service as analyzing/processing of Big-Data (빅데이터 분석/처리에 따른 생활밀착형 서비스의 프라이버시 보호 측면에서의 구조혈 연구)

  • Kang, Jang-Mook;Song, You-Jin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.1
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    • pp.189-193
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    • 2014
  • SNS (Social Network Service) has evolved to life-friendly service with the combination of local services. Unlike exsiting mobile services, life-friendly service is expected to be personalized with gathering of local information, location information and social network service information. In the process of gathering various kinds of information, Big-data technology and Cloud technology is needed. The effective algorithem has researched for this already, however the privacy protection model hasn't researched enough in life-friendly service or big-data using circumstance. In this paper, the privacy issue is dealt with in terms of 'Structure hole', and the privacy issue comes from big-data technology of life-friendly service.

A Study on Marketing Strategies based on SNS Usage Characteristics by Performing Genre (공연장르별 SNS 이용특성에 따른 마케팅전략 연구)

  • Koo, Eun-Ja;Im, Jae-Hee;Kim, Choon-Keun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.1
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    • pp.281-290
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    • 2017
  • This study aims to determine how demographic characteristics and SNS use traits of audiences are different depending on preferred performance types such as pop music concert, musical; play, dancing and ballet. SNS use traits are as follows: duration of SNS use, average number of access to SNS account, average time of SNS use, SNS activity type, motivation for SNS use, preferable type of SNS, annual total number of performance watched, and method to gain performance information. Also, the study was conducted to get significant insights in designing marketing strategy using social network services. The results are as follows. First, the result of examining audience's demographic factors depending on preferred performance type showed meaningful differences in sex, age, marital status, form of family, academic level, job and monthly income of the audiences. Second, SNS use traits of the audiences according to preferred performance genres vary in duration of SNS use, average number of access to SNS account, average time of SNS use, SNS activity type, motivation for SNS use, method to gain performance information. These findings showed that demographic characteristics and SNS use traits needed to be classified more specifically based on genres. Additionally, marketing strategy using performance information, traits of contents and customers' patterns through SNS should be specifically developed based on specified target.

Building an SNS Crawling System Using Python (Python을 이용한 SNS 크롤링 시스템 구축)

  • Lee, Jong-Hwa
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.5
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    • pp.61-76
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    • 2018
  • Everything is coming into the world of network where modern people are living. The Internet of Things that attach sensors to objects allows real-time data transfer to and from the network. Mobile devices, essential for modern humans, play an important role in keeping all traces of everyday life in real time. Through the social network services, information acquisition activities and communication activities are left in a huge network in real time. From the business point of view, customer needs analysis begins with SNS data. In this research, we want to build an automatic collection system of SNS contents of web environment in real time using Python. We want to help customers' needs analysis through the typical data collection system of Instagram, Twitter, and YouTube, which has a large number of users worldwide. It is stored in database through the exploitation process and NLP process by using the virtual web browser in the Python web server environment. According to the results of this study, we want to conduct service through the site, the desired data is automatically collected by the search function and the netizen's response can be confirmed in real time. Through time series data analysis. Also, since the search was performed within 5 seconds of the execution result, the advantage of the proposed algorithm is confirmed.

Relationships among Perception, Professionalism and Satisfaction with Nail Services Given through Social Network Service and Social Commerce (SNS와 소셜커머스를 통한 네일 서비스의 인식과 전문성 및 만족도와의 관계)

  • Ji-Yeon, Kim
    • Journal of Advanced Technology Convergence
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    • v.1 no.2
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    • pp.89-93
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    • 2022
  • This study attempted to suggest a direction for better services by analyzing correlations among usage patterns, perception, professionalism and satisfaction with nail services given through social media and commerce. For this, a questionnaire survey was performed against women in their 10-50s in Daejeon, Sejong and Chungcheong from October 1 to 20, 2021. A total of 326 copies were used for final analysis The collected data were analyzed, using SPSS 27.0. The results found the followings: As the treatments and products were more specialized, the respondents were more satisfied with services, convenience, treatments and products. Therefore, it is anticipated that the study results would available as basic data which are needed in analyzing correlations among usage patterns, perception, professionalism and satisfaction with nail services given through social media and commerce.