• Title/Summary/Keyword: Social media platforms

검색결과 207건 처리시간 0.025초

Comparative Study of Virtual Methods Used for Library Service Delivery among Librarians in Southern Nigeria Private Universities

  • Titilayo Comfort Ilesanmi
    • International Journal of Knowledge Content Development & Technology
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    • 제14권1호
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    • pp.33-52
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    • 2024
  • This study examined the virtual methods of service delivery being deployed by librarians in private universities in Nigeria. The objective of the study was to analyse the virtual methods of service delivery among librarians and determine the predominant method used among the librarians. Survey research design was adopted for the study. Total enumeration technique was adopted for the study. A population of 181 librarians from 45 private universities in Southern Nigeria were involved. Data were gathered, analysed and presented using frequency counts, percentages, mean and standard deviation. The study found that librarians used different virtual methods of service delivery. Library website 157 (90%) and e-mail 132 (76.3%) were the prominent electronic media used by librarians while Facebook 59 (34%) and Whatsapp 57 (32.9%) were the predominant social media platforms applied for service delivery by librarians. Electronic media were more used for latest publications arrival, as well as library education and document delivery services while social media were more used for reference services and selective dissemination of information. In conclusion, virtual methods of service delivery were deployed by librarians in private universities for service delivery. In comparing the virtual methods, librarians used more of electronic media than social media to deliver services to their users. Therefore, electronic media were predominantly used than social media, many of the virtual methods were found to be underutilised while recommendations were proffered.

Using The Anthology Of Learning Foreign Languages In Ukraine In Symbiosis With Modern Information Technologies Of Teaching

  • Fabian, Myroslava;Bartosh, Olena;Shandor, Fedir;Volynets, Viktoriia;Kochmar, Diana;Negrivoda, Olena;Stoika, Olesia
    • International Journal of Computer Science & Network Security
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    • 제21권4호
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    • pp.241-248
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    • 2021
  • The article reviews the social media as an Internet phenomenon, determines their place and level of popularity in the society, as a result of which the social networks are a resource with perspective pedagogical potential. The analysis of social media from the point of view of studying a foreign language and the possibility of their usage as a learning medium has been carried out. The most widespread and popular platforms have been considered and, based on their capabilities in teaching all types of speech activities, the "Instagram", "Twitter", and "Facebook" Internet resources have been selected as the subject of the research. The system of tasks of teaching all types of speech activities and showing the advantages of the "Instagram", "Twitter", and "Facebook" platforms has been proposed and briefly reviewed.

User Reputation computation Method Based on Implicit Ratings on Social Media

  • Bok, Kyoungsoo;Yun, Jinkyung;Kim, Yeonwoo;Lim, Jongtae;Yoo, Jaesoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권3호
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    • pp.1570-1594
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    • 2017
  • Social network services have recently changed from environments for simply building connections among users to open platforms for generating and sharing various forms of information. Existing user reputation computation methods are inadequate for determining the trust in users on social media where explicit ratings are rare, because they determine the trust in users based on user profile, explicit relations, and explicit ratings. To solve this limitation of previous research, we propose a user reputation computation method suitable for the social media environment by incorporating implicit as well as explicit ratings. Reliable user reputation is estimated by identifying malicious information raters, modifying explicit ratings, and applying them to user reputation scores. The proposed method incorporates implicit ratings into user reputation estimation by differentiating positive and negative implicit ratings. Moreover, the method generates user reputation scores for individual categories to determine a given user's expertise, and incorporates the number of users who participated in rating to determine a given user's influence. This allows reputation scores to be generated also for users who have received no explicit ratings, and, thereby, is more suitable for social media. In addition, based on the user reputation scores, malicious information providers can be identified.

Profane or Not: Improving Korean Profane Detection using Deep Learning

  • Woo, Jiyoung;Park, Sung Hee;Kim, Huy Kang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권1호
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    • pp.305-318
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    • 2022
  • Abusive behaviors have become a common issue in many online social media platforms. Profanity is common form of abusive behavior in online. Social media platforms operate the filtering system using popular profanity words lists, but this method has drawbacks that it can be bypassed using an altered form and it can detect normal sentences as profanity. Especially in Korean language, the syllable is composed of graphemes and words are composed of multiple syllables, it can be decomposed into graphemes without impairing the transmission of meaning, and the form of a profane word can be seen as a different meaning in a sentence. This work focuses on the problem of filtering system mis-detecting normal phrases with profane phrases. For that, we proposed the deep learning-based framework including grapheme and syllable separation-based word embedding and appropriate CNN structure. The proposed model was evaluated on the chatting contents from the one of the famous online games in South Korea and generated 90.4% accuracy.

소셜미디어 시대의 정보리터러시에 관한 소고 - 재정의, 교육내용, 교육방법을 중심으로 - (A Study on Information Literacy in Social Media Age: Focusing on Redefinition, Contents and Media of Information Literacy)

  • 오의경
    • 한국문헌정보학회지
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    • 제47권3호
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    • pp.385-406
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    • 2013
  • 본 연구는 정보리터러시의 개념을 재정의하고, 이를 바탕으로 정보리터러시의 교육내용과 교육방법을 제안하였다. 재정의를 위하여, 오늘날의 정보환경을 표현하는 정보리터러시 2.0, 사회적 맥락, 메타리터러시, 트랜스리터러시, 소셜미디어 리터러시의 개념을 조사, 분석하였다. 정보리터러시를 구성하는 주요 요소로 '사회적 관계', '미디어 융합과 다양성 인식', '정보에 대한 평가적 안목' 등을 추출하였다. 교육의 방법(미디어)을 결정하기 위하여, 소셜미디어의 편재성을 조사하였고, 조사결과 소셜미디어는 편재성이 높은 미디어로서, 정보리터러시 교육에 활용되는 것이 적절함을 밝혔다. 후속연구로 소셜미디어를 활용한 정보리터러시 교육에 관한 실증적 연구가 수행되어야 할 것을 제안하였다.

Online Music Distribution Strategy to Develop the future Hallyu Music Industry

  • Woo-Jun JANG;Min-Ho CHANG
    • 유통과학연구
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    • 제22권6호
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    • pp.115-122
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    • 2024
  • Purpose: The main aim of this study is to analyze and suggest new online music distribution models targeted to facilitate the development of the Korean Wave (Hallyu) music market in all locations of the world. This study is conducted through a close analysis of the prevailing distribution models, the unique challenges of the K-pop market, and the trends in new technologies. Research design, data and methodology: To address the issue of how the online music distribution market could be domesticated for the Korean music industry, a systematic review of the previous studies was conducted. The use of the PRISMA approach was followed so that an accurate and transparent method for choosing the studies is ensured. Results: According to the investigation of literature analysis, the online distribution strategy may consist of four key plannings as follows, 1. Leveraging Social Media and User-Generated Content Platforms, 2. Embracing Immersive and Interactive Experiences, 3. Fostering Direct-to-Fan Connections and Monetization, 4. Harnessing Artificial Intelligence and Big Data Analytics. Conclusions: Finally, collaboration and strategic partnerships will be vital. The Korean music companies should seek to cooperate with the technology companies, social media platforms, and the global music streaming services so that they can grow their market, acquire new technologies, and to better their online distribution strategies.

When in danger, who will help you? Two types of trust in technical coping on online platforms

  • 이새롬
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권4호
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    • pp.69-94
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    • 2023
  • Purpose Social networking service (SNS) platforms employ distinct networking strategies to meet the varying needs of their users, resulting in divergent sets of technological functionalities offered by each platform. Consequently, unique features on various SNSs give rise to distinct social issues. Moreover, the available technical coping mechanisms for users vary significantly across platforms. Design/methodology/approach Therefore, this study analyzes the factors affecting technical coping intention based on technical functions of SNSs for users exposed to cybercrime, such as sexual harassment. We divide coping intention into active and passive coping intention. Furthermore, this research focuses on trust as an antecedent of coping intention and verifies how human and system-like trust affects two coping intentions in different directions. Findings Findings reveal that system-like trust significantly affects both active and passive coping intention as a belief in whether the technology will work properly. However, in the case of human-like trust, trust in the platform provider was found to negatively affect passive coping, which is considered unsocialized behavior on SNS platforms. Therefore, both human-like and system-like trust for the platform must be appropriately applied to cope with the problem while activating the platform.

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.

공공기관 소셜미디어 운영 실태 및 특징 분석 - 대구광역시 공공기관을 중심으로 - (An Analysis of the Current Practice and Characteristics of Public Agencies Social Media: Focused on the Public Agencies of Daegu Metropolitan City)

  • 이정은;이지원
    • 한국비블리아학회지
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    • 제28권4호
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    • pp.101-125
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    • 2017
  • 소셜미디어를 통해 생산된 유용한 정보 및 지식자료들은 빠르게 생산되고 퍼지고 있다. 소셜미디어 게시물의 보존 및 관리를 하지 않으면 한순간에 사라질 수 있으며, 따라서 이제는 이를 아카이브하기 위한 노력을 기울여야 할 때이다. 본 연구는 공공기관의 소셜미디어 아카이브를 위한 기초연구로써, 대구광역시 12개 공공기관을 대상으로 소셜미디어 운영 실태를 조사하고, 소셜미디어 게시글의 내용유형을 정의하였으며, 게시글의 내용유형과 플랫폼의 특징을 면밀히 분석하였다. 소셜미디어 게시글 수집을 위해서는 NVivo를 사용하였다. 이를 통해 소셜미디어는 공공기록으로서 아카이브되어야 함을 다시 확인하였고, 효과적인 아카이브를 위한 시사점을 도출하였다.

Topic Modeling Analysis of Social Media Marketing using BERTopic and LDA

  • YANG, Woo-Ryeong;YANG, Hoe-Chang
    • 산경연구논집
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    • 제13권9호
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    • pp.37-50
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    • 2022
  • Purpose: The purpose of this study is to explore and compare research trends in Korea and overseas academic papers on social media marketing, and to present new academic perspectives for the future direction in Korea. Research design, data and methodology: We used English abstract of research paper (Korea's: 1,349, overseas': 5,036) for word frequency analysis, topic modeling, and trend analysis for each topic. Results: The results of word frequency and co-occurrence frequency analysis showed that Korea researches focused on the experiential values of users, and overseas researches focused on platforms and content. Next, 13 topics and 12 topics for Korea and overseas researches were derived from topic modeling. And, trend analysis showed that Korean studies were different from overseas in applying marketing methods to specific industries and they were interested in the short-term performance of social media marketing. Conclusions: We found that the long-term strategies of social media marketing and academic interest in the overall industry will necessary in the future researches. Also, data mining techniques will necessary to generate more general results by quantifying various phenomena in reality. Finally, we expected that continuous and various academic approaches for volatile social media is effective to derive practical implications.