• Title/Summary/Keyword: news data

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Using Motivation of Short Video Advertising Marketing in China: An Exploratory Study of Douyin

  • Zeng, Nai
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.8
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    • pp.229-237
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    • 2021
  • This paper aims to study the using motivation and influencing factors of Chinese users' participation in live stream shopping through theoretical and empirical analysis, so as to evaluate the change in users' needs and improve marketing strategies. In doing so, I conducted a questionnaire survey for Chinese live stream shopping users and collected the required data. For empirical analysis, I used SPSS and AMOS software to carry out descriptive analysis, reliability and validity analysis and structural equation model analysis (SEM) to test the hypothesis. The results of the analysis showed that core competency and brand personality of the short video industry have a significant impact on user and customer perceived value, thus influencing users' using motivation. That is, users do not blindly follow live stream shopping but make their active choice. Therefore, it is suggested that live stream shopping platform should strengthen the e-commerce attributes and eradicate "the sense of false satisfaction", in order to achieve the effective communication of information. On the other hand, to stimulate the purchase motivation of users, the brand should build up its personality, and enhance user and customer perceived value in cyber marketing.

Exploring Social Issues of On-demand Delivery Platform Participants (뉴스 데이터 마이닝을 통한 배달 플랫폼 참여자의 사회적 이슈 분석)

  • Park, Soo Kyung;Lee, Hyeon June;Lee, Bong Gyou
    • Journal of Digital Convergence
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    • v.19 no.7
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    • pp.79-85
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    • 2021
  • After COVID-19, the number of individuals participating in delivery platforms has increased. They are using the participation of the delivery platform as a means of creating a new source of income as well as a means of sports and hobbies. This phenomenon is related to a social phenomenon called 'N-jober'. However, there are still few studies examining this phenomenon. Therefore, this study intends to examine the phenomenon of individual participation in delivery platforms and their issues. Text mining was performed on news data from January 2019, when COVID-19 started. As a result, social issues related to the increase in individual participation in delivery platforms were derived into 5 topics(Introduction to the Phenomenon, Characteristics of Participants, Participant's Income and Fees, Characteristics as a Job, Concern about Potential Risks). This study has significance in that it expanded the perspective of academic discussion on delivery platform business to individual participants.

A Study on the Brand Image and Purchase Satisfaction of Multiplex Cinemas according to the Types of Value Perceptions of Offline Movie Viewers (오프라인 영화 관람객의 가치 인식 유형에 따른 멀티플렉스 영화관의 브랜드이미지, 구매 만족도에 관한 연구)

  • Lee, Kang-Suk
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.494-504
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    • 2021
  • The spread of Over-The-Top (OTT) service, which represents Netflix, and the social distancing caused by COVID-19, acted as an overall bad news for domestic multiplex movie theaters. In addition to this, the phenomenon of digital shifting was added, and the need for domestic offline movie theaters to seek a new market for growth emerged. This study focused on the concept of consumer value perception amid this problem consciousness, and attempted to investigate the relationship between the brand image of multiplex movie theaters and purchase satisfaction according to the type of consumer value perception. After data was sampled through a questionnaire survey to a total of 350 subjects, the results of empirical analysis according to the study model are as follows. Among the types of value perception of offline movie viewers, practicality had the strongest influence on brand image construction, and self-faithfulness had the strongest influence on purchase satisfaction of offline movie watching. In addition, the brand image of offline movie theaters had a positive(+) effect on the purchase satisfaction of moviegoers. Based on this, this study suggested a new survival strategy in the new normal era of offline Multiplex Cinemas.

The Challenges of AI Ethics and Human Identity Reproduced by Global Content: Focusing on Narrative Analysis of Netflix Documentary (글로벌 콘텐츠가 재현하는 AI 윤리와 인간 정체성의 과제: 넷플릭스 다큐 <소셜딜레마>의 서사 분석을 중심으로)

  • Choi, Jong-Hwan;Lee, Hyun-Ju
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.548-562
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    • 2022
  • This study was conducted to diagnose the issues of AI ethics in global content and to discuss what kind of discourse is needed to strengthen human identity. To this end, the study selected Netflix original content "The Social Dilemma" for analysis and adopted narrative analysis as the research method. The analysis results confirmed that "Social Dilemma" showed the structure of a traditional current affairs documentary and mainly used experts and statistical data to develop the story. It also reinforced core content claims by enumerating domestic and foreign cases such as the 2021 Myanmar massacre and the spread of fake news. In addition, the relationship between the characters clearly revealed the binary opposition between developers and media companies as well as users and advertisers. For the solution to the problem, strong regulations on businesses and the suspension of social media use were reached. However, "The Social Dilemma" merely pointed out the misuse of AI technology and had a narrative that ignored human identity and social relationships. Such results raise the need for creating contents that emphasize the importance of human sociality, relationships, and learning ability in the age of AI.

Participation Experience Analysis of Newsports Program for People with Stroke living in the Community (지역사회에 거주하는 뇌졸중 장애인의 뉴스포츠 프로그램 참여 경험 분석)

  • Kang, Dongheon;Park, Jiyoung;Eun, Seon-Deok
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.541-556
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    • 2022
  • Exercise programs conducted for people with stroke disabilities tend to be monotonous as they are mainly focused on therapeutic effects in the form of physical therapy performed in hospitals. However, the news sports program conducted in this study is thought to deform the intensity and difficulty of exercise in consideration of the exercise ability of each subject and to participate safely and interestingly to use equipment made of special materials. The purpose of the present study was to understand new sports program participation experiences in people with stroke. The qualitative data on eleven participants' new sports program participation experiences were acquired through in-depth interviews. As a result of the study, four subcategories (expectations for the program, experience in participating in the program, and program improvement plan) and ten core concepts were derived. Based on the results of this study, the new sports program for people with stroke living in the community after discharge is expected to be the basis for the development of community-based exercise programs considering the characteristics of stroke.

Critical Discourse Analysis on Drug Addiction (마약 중독에 대한 비판적 담론 분석)

  • Shin, Seon-Hee
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.712-726
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    • 2022
  • The purpose of this study is to find out what discourse the newspaper's articles produce and distribute about 'drug addiction' and to reveal the topography and meaning of the discourse. Data were collected by searching 'drug' 'drug addiction' as keywords for news articles in four daily newspapers in Korea. As a result of analyzing using Norman Fairclough's critical discourse analysis, first, the 'crime-punishment' discourse was dominant in textual analysis. Drug addiction is a social evil and a serious crime such as sex crimes, child crimes, and violence, so it should be strictly punished. Second, in the discourse practice analysis, drug addiction is a mental disease that needs treatment, so systematic management by the state is required. Third, in the socio-cultural practice analysis, drug addiction is a means of making money for economic benefit, is related to corruption of political power, and is an object that should be strongly controlled to prevent drug crimes from threatening the foundation of the state. Culturally, drug addiction stems from the motivation of pleasure seeking, and is the result of moral degradation. Through this analysis, the conversion to the 'disease-treatment' discourse and drug policies centered on treatment and rehabilitation were suggested as alternatives.

Towards Low Complexity Model for Audio Event Detection

  • Saleem, Muhammad;Shah, Syed Muhammad Shehram;Saba, Erum;Pirzada, Nasrullah;Ahmed, Masood
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.175-182
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    • 2022
  • In our daily life, we come across different types of information, for example in the format of multimedia and text. We all need different types of information for our common routines as watching/reading the news, listening to the radio, and watching different types of videos. However, sometimes we could run into problems when a certain type of information is required. For example, someone is listening to the radio and wants to listen to jazz, and unfortunately, all the radio channels play pop music mixed with advertisements. The listener gets stuck with pop music and gives up searching for jazz. So, the above example can be solved with an automatic audio classification system. Deep Learning (DL) models could make human life easy by using audio classifications, but it is expensive and difficult to deploy such models at edge devices like nano BLE sense raspberry pi, because these models require huge computational power like graphics processing unit (G.P.U), to solve the problem, we proposed DL model. In our proposed work, we had gone for a low complexity model for Audio Event Detection (AED), we extracted Mel-spectrograms of dimension 128×431×1 from audio signals and applied normalization. A total of 3 data augmentation methods were applied as follows: frequency masking, time masking, and mixup. In addition, we designed Convolutional Neural Network (CNN) with spatial dropout, batch normalization, and separable 2D inspired by VGGnet [1]. In addition, we reduced the model size by using model quantization of float16 to the trained model. Experiments were conducted on the updated dataset provided by the Detection and Classification of Acoustic Events and Scenes (DCASE) 2020 challenge. We confirm that our model achieved a val_loss of 0.33 and an accuracy of 90.34% within the 132.50KB model size.

Investigation of Dongje School Based on the Primary Historical Data and Geographical Information (일차 사료와 지리 정보를 통한 동제학교에 대한 고찰)

  • Ha, Ki-Tae;Choi, June-Yong;Kim, Kibong
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.36 no.4
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    • pp.105-112
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    • 2022
  • Dongje school (同濟學校), alternately Dongje medical school, is generally recognized as the first modern school for Korean medicine. However, there is very limited information concerning its establishment, duration period, governance, location, and contents for teaching. We found several points which are different from popular opinions through investigating news articles of those days and maps. Dongje school has established on June 1, 1906 and the time of its discontinuance is not clear. The school was founded with the cooperation of three former government officials of the Korean Empire, Eungse Lee (李應世), Piljoo Kang (姜弼周), and Dongho Cho (趙東浩) and many people donated fund for supporting Dongje school. However, there is no evidence of national or royal expenditures for operating the school. Dongje school has been established in 76-6, Seohak hill (西學峴), Yeogyeong-bang (餘慶坊), West county (西署), Seoul and moved to Naesum-si (內贍寺) located in Bongsangsi front village (奉常寺前門洞), Indal-bang (仁達坊), West county, at September 1906. The curriculum of the school comprehends several disciplines including literature in Korean and Chinese, mathematics, foreign language, physics, and Western medicine, as well as Korean medicine. Particularly at that time, they thought both of women and men. To elucidate the issue of the governance of Dongje school regarding the national or royal establishment, more information and extensive studies should be needed.

Development of Disaster Situation Specific Tailored Weather Emergency Information Alert System (재난 상황별 맞춤형 기상긴급정보 전달 시스템 개발)

  • Yong-Yook Kim;Ki-Bong Kwon;Byung-Yun Lee
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.69-75
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    • 2023
  • Purpose: The risk of disaster from extreme weather events is increasing due to the increase in occurrence and the strength of heavy rains and storms from continued climate change. To reduce these risks, emergency weather information customized for the characteristics of the information users and related circumstances should be provided. Method: A first-stage emergency weather information delivery system has been developed to provide weather information to the disaster-risk area residents and the disaster response personnel. Novel methods to apply artificial intelligence to identify emergencies have been studied. The relationship between special weather reports from meteorological administration and disaster-related news articles has been analyzed to identify the significance of a pilot study using text analytic artificial intelligence. Result: The basis to identify the significance of the relations between disaster-related articles and special weather reports has been established and the possibility of the development of a real-world applicable system based on a broader analysis of data has been suggested. Conclusion: Through direct alert delivery of weather emergency alerts, a weather emergency alert system is expected to reduce the risk of damage from extreme weather situations.

Detection and spread of agricultural drought warning based on news data (뉴스 데이터 기반 농업 가뭄 전조 감지 및 확산 분석)

  • Min-Jin Kim;Won-Ho Nam;Mi-Hye Yang;Ji-Wan Lee;Seong-Joon Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.339-339
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    • 2023
  • 2018년도 연강수량은 1,386.9 mm로 평년 수준의 비가 내렸으나, 7-8월에 발생한 폭염 및 가뭄으로 인해 강원, 전남, 경북, 충남 지역에서 밭작물 중심으로 22,767 ha 피해가 발생하였다. 2019년도 연강수량은 1,171.9 mm로 평년보다 약 10% 적은 수준의 비가 내렸으며, 동일시기에 인천, 강원, 충남 지역에서 논·밭작물 중심으로 3,112 ha 피해가 발생하였다. 기후변화로 인해 강수량이 지역별로 편중되어 국지적 가뭄이 빈발하여 지역별로 가뭄의 영향, 피해, 체감 정도가 상이한 양상을 보이고 있다. 가뭄을 사전에 방지하기 위해서는 가뭄 모니터링과 선제적 대응이 중요하며, 현재 가뭄의 특징, 상황 등의 목적에 따라 다양한 형태의 가뭄 모니터링 시스템이 개발되고 있다. 가뭄의 피해와 영향 정도는 지역 간의 차이가 나타나 지역별로 가뭄을 체감하는 정도가 다르기 때문에 하나의 결과로 나타내기에는 어려움이 있다. 따라서, 가뭄의 발생 시기와 확산 정도를 분석하여 특보 발효 시점과 가뭄 대응 방안에 대한 기준 마련이 중요하다. 본 연구는 현대 사회에서 가장 중요한 요소로써 활용되고 있는 빅데이터 중 비정형 데이터로 분류되는 뉴스데이터와 논·밭의 가뭄을 나타내는 농업 가뭄과 관련된 데이터를 활용하여 농업 가뭄의 전조를 파악해보고자 한다. 2018년부터 2019년까지 전국을 대상으로 농업 가뭄에 관한 키워드 선정 후, 웹 크롤링을 통해 뉴스데이터를 수집해 논 가뭄과 밭 가뭄을 구별하여 각 지역에서 최초로 가뭄 기사가 발행된 시기와 지역별 기사의 빈도를 산출하였다. 뉴스데이터의 농업 가뭄 전조 감지 가능성을 파악하기 위해 국가가뭄정보통계집에서 논 물마름 시기와 밭 시듦 시기 자료를 활용하였다. 가뭄 피해 발생시기와 관련 기사 발행 시기 비교, 농업용수 대상 비상용수 지원 자료를 활용하여 실제 농업 가뭄확산 감지 여부를 분석하여 농업 가뭄 관련 뉴스데이터 간의 상관성을 분석하였다.

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