• Title/Summary/Keyword: 소셜미디어 콘텐츠

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The Negative Effect of the Advertising Endorser's Smile and Consumer's Self-construal Level on Purchase Intention of the Brand in the Expensive Product Category (광고모델의 미소와 소비자의 자기해석 수준이 고가 제품군 브랜드의 구매의도에 미치는 부정적 효과)

  • Kim, Taemin
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.678-686
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    • 2021
  • A smiling face usually has a positive effect on interpersonal relationships by delivering a warm impression. However, the stereotype content model and compensation effect between warmth and competence suggested that warmth perceptions caused by a smiling face could influence competence perceptions negatively. This study examined the negative impact of the advertising endorser's smile on purchase intention in an expensive product category by adopting the self-construal level. The study results showed that consumers with independent-self construal (vs. interdependent self-construal) showed a lower purchase intention when exposed to an ad containing an endorser's smile. In comparison, consumers with interdependent-self construal (vs. independent self-construal) showed a lower purchase intention when exposed to an ad without an endorser's smile. Thus, this study demonstrated a moderating role of self-construal in the relationship between advertising endorser's smile and purchase intention. These findings provide valuable theoretical and practical implications for effective advertising strategies in the expensive product category.

Crowdsourcing based Local Traffic Event Detection Scheme (크라우드 소싱 기반의 지역 교통 이벤트 검출 기법)

  • Kim, Yuna;Choi, Dojin;Lim, Jongtae;Kim, Sanghyeuk;Kim, Jonghun;Bok, Kyoungsoo;Yoo, Jaesoo
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.83-93
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    • 2022
  • Research is underway to solve the traffic problem by using crowdsourcing, where drivers use their mobile devices to provide traffic information. If it is used for traffic event detection through crowdsourcing, the task of collecting related data is reduced, which lowers time cost and increases accuracy. In this paper, we propose a scheme to collect traffic-related data using crowdsourcing and to detect events affecting traffic through this. The proposed scheme uses machine learning algorithms for processing large amounts of data to determine the event type of the collected data. In addition, to find out the location where the event occurs, a keyword indicating the location is extracted from the collected data, and the administrative area of the keyword is returned. In this way, it is possible to resolve a location that is broadly defined in the existing location information or incorrect location information. Various performance evaluations are performed to prove the superiority and feasibility of the proposed scheme.

Trend Analysis of Dance Performance Research Using Keywords and Topic Modeling of LDA Techniques (LDA 토픽 모델링 기법을 활용한 무용공연의 연구 동향 분석)

  • SI YU
    • Journal of Industrial Convergence
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    • v.22 no.3
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    • pp.13-25
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    • 2024
  • This study explores research topics related to dance performances published in Korea based on big data and examines research trends that change according to the trend of the times. The results derived from topic modeling analysis are as follows. (1) Six major topics were derived: a study on marketing strategies and development plans for dance performances, (2) a study on the re-watching factors of dance performance space and performance satisfaction, (3) a study on the popularity and contribution of dance performances in the stage environment, (4) a study on the current status of dance performances and the convergence of dance group operations, (5) a study on the definition of dance performances using various social media, and (6) a study on the direction and development of technology-applied dance performance contents. Accordingly, research trends and topics related to dance, including dance performances, social changes, key keywords of researchers' change interests were extracted, and keywords were compared and analyzed to present academic changes and countermeasures. Accordingly, the need for research to apply new technologies was emphasized as it diversified and fused.

A study on Korean tourism trends using social big data -Focusing on sentiment analysis- (소셜 빅데이터를 활용한 한국관광 트렌드에 관한연구 -감성분석을 중심으로-)

  • Youn-hee Choi;Kyoung-mi Yoo
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.97-109
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    • 2024
  • In the field of domestic tourism, tourism trend analysis of tourism consumers, both international tourists and domestic tourists, is essential not only for the Korean tourism market but also for local and governmental tourism policy makers. e will explore the keywords and sentiment analysis on social media to establish a marketing strategy plan and revitalize the domestic tourism industry through communication and information from tourism consumers. This study utilized TEXTOM 6.0 to analyze recent trends in Korean tourism. Data was collected from September 31, 2022, to August 31, 2023, using 'Korean tourism' and 'domestic tourism' as keywords, targeting blogs, cafes, and news provided by Naver, Daum, and Google. Through text mining, 100 key words and TF-IDF were extracted in order of frequency, and then CONCOR analysis and sentiment analysis were conducted. For Korean tourism keywords, words related to tourist destinations, travel companions and behaviors, tourism motivations and experiences, accommodation types, tourist information, and emotional connections ranked high. The results of the CONCOR analysis were categorized into five clusters related to tourist destinations, tourist information, tourist activities/experiences, tourism motivation/content, and inbound related. Finally, the sentiment analysis showed a high level of positive documents and vocabulary. This study analyzes the rapidly changing trends of Korean tourism through text mining on Korean tourism and is expected to provide meaningful data to promote domestic tourism not only for Koreans but also for foreigners visiting Korea.

Performance of Broadcasting Contents by Platforms (방송 플랫폼별 콘텐츠 유통 성과)

  • Kim, Suk;Song, Gin
    • The Journal of the Korea Contents Association
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    • v.15 no.12
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    • pp.81-96
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    • 2015
  • This study investigated the attributes of the popular programs by various broadcasting related platforms(on-air, VOD, SNS) and the relationship between the outcomes of these platforms in order to get the implications of broadcasting contents distribution strategy in multi-platform era. First, the study found that drama programs of territorial broadcasting showed the most high performance in on-air platform while comedy entertainment programs got the outstanding achievement in VOD platform. Second, although it had the low ratings in on-air platform, the program could be highly probable to get a great deal of VOD hits if it had attracted the younger audience. Knowledge programs showed the similar outcome between on-air and VOD platforms. Third, the study found that the factor which had a significant influence on VOD performance was the amount of buzz in SNS. These results suggest that broadcasting content distribution strategy in multi-platform era needs the understanding of the segmented target audiences of content and the analysis of trait of each platform.

An Study on Usability Evaluation of Image based SNS (이미지 기반 SNS의 사용성 평가 연구)

  • Lee, Mi Gyung;Park, Jin Wan
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.508-516
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    • 2016
  • With the rapid development of Social Network Service and with the diversification of user needs, new types of image-based SNS have emerged. Image-based SNS provides customized service to meet users' specified contents needs that have yet to be satisfied in conventional relation-based SNS like Facebook, leading the trend of service diversification. Unlike text-based SNS that has inconvenient view on a small mobile screen, image-based SNS provides the communication way focused on simple text message and image, and thus the main users of the image-based SNS are young people in their 20s who get accustomed to images, rather than text messages. Accordingly, the functions and roles of SNS UI have varied, and usability has been more important. With the users in their 20s who use image-based SNS, this study tried to look into the usability of the image-based SNS. To do that, heuristic evaluation method was applied to find UI problems. The main factors constituting usability were extracted, and user evaluation method was redesigned. Aside from the satisfaction measurement, this study conducted and analyzed a questionnaire survey with users in their 20s who used actual image-based SNS. This study analyzed usability factors that influenced of image-based SNS users. The analysis results are considered to be used as a fundamental material to improve usability in the process of developing social media service.

Perspective of Juvenile Problems by Musical (브로드웨이 뮤지컬 를 통하여 본 청소년 문제)

  • Kim, Hye-Jin
    • The Journal of the Korea Contents Association
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    • v.16 no.4
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    • pp.204-210
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    • 2016
  • The reason to research the musical is it has a lot of useful things for the various studies department not only Korea Musical Theatre own although it has been a successful musical theater on the Off-Broadway by Reboot culture era. Even though does not release on Korea, the popular of the show and powerful results of environments have delivered through the international magazines and Youtube channels to Korea. To study of Musical will be lead us to the world which adopted to the social problems as the youth school violence, family communication hurdle, and religion missing by script not only the musical drama but the interpretation for Teen-agers social problem. There are many kinds of Neo educations are proved by smart learning as STEAM. The students who have been studied with the smartphone, I-pad, personal computer, or laptop as smart tools for class are familliar as feedback processing speedly. It would make them learn the skill for their knowledge of a digital age, but it should not let them how to understand other people's emotion as real although STEAM has emtion part. Besides they have communicated on the social network not the ordinary man but the special ego by themselves, as mention or retweet as like their amusements and make the gossip group. This study would show the perspective for understanding Teen-agers Social Problem and who is the victims today's juvenile problems though the musical based on Jim Taulli's directing.

A Study on the Role of Art Museums and Experience of Museum Visitors Based on Social Platform (미술관의 소셜플랫폼 역할과 관람객 체험)

  • Koo, Bokyung
    • Trans-
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    • v.9
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    • pp.67-92
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    • 2020
  • The development of social platforms and digital technology has promoted the age of the communication in our society. As online communication has become commonplace, expressing feelings, thoughts and experiences on the Internet has become an everyday routine. Among them, SNS is one of the representative platforms for expressing oneself easily and interacting with other users. The way of communicating with the SNS about what they did and what experiences they experienced from one's everyday lives became more common. As a result, the museum makes various efforts to enhance visitors' attention and interest with the use of SNS. It provides a content-based programs and museum environment that allow visitors to enjoy playing and learning at the same time. This study will explore not only a simple appreciation, but also the way of communicating to everyday life in terms of the changes for museum environment through the development, implementation and adaptations of digital technology. Through this, mobile-based communication with SNS provides various values and quality of museum visit, can be completed with meaningful museum experience, and various roles and functions of the museum are examined in terms of social platform of experience.

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Perceptions of the Knowledge of the Channel ⓔ as educational media for school teachers (<지식채널e>의 교육적 활용에 대한 교사 인식 연구)

  • Park, Yooshin;Na, Yeohoon;Jang, Eunju
    • Cartoon and Animation Studies
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    • s.49
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    • pp.425-464
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    • 2017
  • The Knowledge of the Channel (e) is often used as educational materials; it delivers very short but compelling message of strong or interesting timeliness. However, as the media environment changes, expectations and demands for The Knowledge The Knowledge of the Channel (e) is used in school education and what should be improved upon to increase utilization of educational resources. We surveyed 361 elementary, middle and high school teachers and analyzed the frequency of using, approach and learning activities of The Knowledge of the Channel (e) in school education. We also analyzed difficulties in using it in the school and what improvements should be made. Result show that the frequency of using The Knowledge of the Channel (e) in school is highest in elementary schools, followed by middle school, and then high school. Teachers strongly consider curricular relevance when selecting broadcasting contents for education, and among programs of EBS(Educational Broadcasting System), most frequently use The Knowledge of the Channel (e). The The Knowledge of the Channel (e) is mainly used as an incentive for increasing motivation. When examined by elementary school curriculum, this material is highly utilized in subjects with content such as society, morality, and science, or with approaches that require various perspectives. However, it is difficult for teachers to find materials directly related to their classes, and since other media content similar to The Knowledge of the Channel (e) is abundant, the utilization of The Knowledge of the Channel (e) is decreasing. To improve this, The Knowledge of the Channel (e) needs to improve its platform and transformed the type of The Knowledge of the Channel (e) content being provided on social media.

Short URLs Verification Approach for Phishing Site Detection Improvement (피싱 사이트 탐지 성능 향상을 위한 단축 URL 검증 기법)

  • Kim, Yun-Gi;Kim, Hae-Soo;Kim, Mi-Hui
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.80-81
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    • 2022
  • 최근 소셜 미디어 서비스의 성장과 접근성이 편해짐에 따라 피싱 URL 자동 분류가 필요하다. 그런데 단축 URL 서비스가 대중화되면서 피싱 URL 또한 단축 URL 서비스를 이용하여 피싱 사이트로 통하는지 정상적인 사이트로 통하는지 알 수 없게 되었다. 이런 경우 콘텐츠 기반 탐지를 통해 확인할 수 있지만 URL 기반 방법보다 느리고 리소스를 많이 차지한다는 단점이 있어 본 논문에서는 단축 URL 여부를 판단하고 좀더 효율적으로 피싱 사이트를 탐지 기법을 제안한다.