• Title/Summary/Keyword: information portal

Search Result 950, Processing Time 0.026 seconds

Analyzing Media Bias in News Articles Using RNN and CNN (순환 신경망과 합성곱 신경망을 이용한 뉴스 기사 편향도 분석)

  • Oh, Seungbin;Kim, Hyunmin;Kim, Seungjae
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.24 no.8
    • /
    • pp.999-1005
    • /
    • 2020
  • While search portals' 'Portal News' account for the largest portion of aggregated news outlet, its neutrality as an outlet is questionable. This is because news aggregation may lead to prejudiced information consumption by recommending biased news articles. In this paper we introduce a new method of measuring political bias of news articles by using deep learning. It can provide its readers with insights on critical thinking. For this method, we build the dataset for deep learning by analyzing articles' bias from keywords, sourced from the National Assembly proceedings, and assigning bias to said keywords. Based on these data, news article bias is calculated by applying deep learning with a combination of Convolution Neural Network and Recurrent Neural Network. Using this method, 95.6% of sentences are correctly distinguished as either conservative or progressive-biased; on the entire article, the accuracy is 46.0%. This enables analyzing any articles' bias between conservative and progressive unlike previous methods that were limited on article subjects.

Analysis of Dental Hygienist Job Recognition Using Text Mining

  • Kim, Bo-Ra;Ahn, Eunsuk;Hwang, Soo-Jeong;Jeong, Soon-Jeong;Kim, Sun-Mi;Han, Ji-Hyoung
    • Journal of dental hygiene science
    • /
    • v.21 no.1
    • /
    • pp.70-78
    • /
    • 2021
  • Background: The aim of this study was to analyze the public demand for information about the job of dental hygienists by mining text data collected from the online Q & A section on an Internet portal site. Methods: Text data were collected from inquiries that were posted on the Naver Q & A section from January 2003 to July 2020 using "dental hygienist job recognition," "role recognition," "medical assistance," and "scaling" as search keywords. Text mining techniques were used to identify significant Korean words and their frequency of occurrence. In addition, the association between words was analyzed. Results: A total of 10,753 Korean words related to the job of dental hygienists were extracted from the text data. "Chi-lyo (treatment)," "chigwa (dental clinic)," "ske-illing (scaling)," "itmom (gum)," and "chia (tooth)" were the five most frequently used words. The words were classified into the following areas of job of the dental hygienist: periodontal disease treatment and prevention, medical assistance, patient care and consultation, and others. Among these areas, the number of words related to medical assistance was the largest, with sixty-six association rules found between the words, and "chi-lyo," "chigwa," and "ske-illing" as core words. Conclusion: The public demand for information about the job of dental hygienists was mainly related to "chi-lyo," "chigwa," and "ske-illing" as core words, demonstrating that scaling is recognized by the public as the job of a dental hygienist. However, the high demand for information related to treatment and medical assistance in the context of dental hygienists indicates that the job of dental hygienists is recognized by the public as being more focused on medical assistance than preventive dental care that are provided with job autonomy.

Regional Image Change Analysis using Text Mining and Network Analysis (텍스트 마이닝과 네트워크 분석을 이용한 지역 이미지 변화 분석)

  • Jeong, Eun-Hee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.15 no.2
    • /
    • pp.79-88
    • /
    • 2022
  • Social media big data includes a lot of information that can identify not only consumer consumption patterns but also local images. This paper was collected annually data including 'Samcheok' from 2015 to 2019 from Blog and Cafe of Naver and Daum in domestic portal site, and analyzed the regional image change after refining keyword which forms the regional image by performing text mining and network analysis. According to the research results, the regional image of 2015 was expressed with image cognitive elements of the nearby place name or place etc. such as 'Jangho Port', 'Donghae', and 'Beach'. However the regional image both 2016 and 2019 were changed with image cognitive elements of 'SamcheokSolbich' which is a special place within region. Therefore as the keywords related to the local image include 'Jangho Port' and Resort, which are the representative attractions of Samcheok, it can be seen that the infrastructure factor plays a big role in forming the local image. The significance test for the network data used the bootstrap technique, and the p-values in 2015, 2016, and 2019 were 0.0002, 0.0006, and 0.0002, respectively, which were found to be statistically significant at the significance level of 5%.

A Case Study on the Construction of Cyber Textbook Museum Database (사이버교과서박물관 데이터베이스 구축에 관한 사례 연구)

  • Kim, Eun-Ju;Lee, Myeong-Hee
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.20 no.4
    • /
    • pp.67-84
    • /
    • 2009
  • Cyber Textbook Museum is created by the Korean Educational Development Institute in part of the project to manage the knowledge and information of Korea to promote understanding of Korean education and its history. The original and full text of textbooks dating from the 1890s to the present have been digitized and arranged for easy access over internet. An exclusive portal site dealing with Korean textbooks and curriculum materials was made to provide not only the directory service of textbooks and curriculums in diverse data classifications, school levels, years/periods and subjects but also the keyword search by searching engine. Users can search the necessary materials easily and systematically over the screen and use all the functions except save, capture and print. The management system for textbook image(DjVu format), search system and DRM(Digital Rights Management) system were developed. Finally, four suggestions are proposed which are related in the aspects of policy, technical, systematic aspects for active and tremendous use of the site.

A Qualitative Study on Facilitating Factors of User-Created Contents: Based on Theories of Folklore (사용자 제작 콘텐츠의 활성화 요인에 대한 정성적 연구: 구비문학 이론을 중심으로)

  • Jung, Seung-Ki;Lee, Ki-Ho;Lee, In-Seong;Kim, Jin-Woo
    • Asia pacific journal of information systems
    • /
    • v.19 no.2
    • /
    • pp.43-72
    • /
    • 2009
  • Recently, user-created content (UCC) have emerged as popular medium of on-line participation among users. The Internet environment has been constantly evolving, attracting active participation and information sharing among common users. This tendency is a significant deviation from the earlier Internet use as an one-way information channel through which users passively received information or contents from contents providers. Thanks to UCCs online users can now more freely generate and exchange contents; therefore, identifying the critical factors that affect content-generating activities has increasingly become an important issue. This paper proposes a set of critical factors for stimulating contents generation and sharing activities by Internet users. These factors were derived from the theories of folklores such as tales and songs. Based on some shared traits of folklores and UCC content, we found four critical elements which should be heeded in constructing UCC contents, which are: context of culture, context of situation, skill of generator, and response of audience. In addition, we selected three major UCC websites: a specialized contents portal, a general internet portal, and an official contents service site, They have different use environments, user interfaces, and service policies, To identify critical factors for generating, sharing and transferring UCC, we traced user activities, interactions and flows of content in the three UCC websites. Moreover, we conducted extensive interviews with users and operators as well as policy makers in each site. Based on qualitative and quantitative analyses of the data, this research identifies nine critical factors that facilitate contents generation and sharing activities among users. In the context of culture, we suggest voluntary community norms, proactive use of copyrights, strong user relationships, and a fair monetary reward system as critical elements in facilitating the process of contents generation and sharing activities. Norms which were established by users themselves regulate user behavior and influence content format. Strong relationships of users stimulate content generation activities by enhancing collaborative content generation. Particularly, users generate contents through collaboration with others, based on their enhanced relationship and specialized skills. They send and receive contents by leaving messages on website or blogs, using instant messenger or SMS. It is an interesting and important phenomenon, because the quality of contents can be constantly improved and revised, depending on the specialized abilities of those engaged in a particular content. In this process, the reward system is an essential driving factor. Yet, monetary reward should be considered only after some fair criterion is established. In terms of the context of the situation, the quality of contents uploading system was proposed to have strong influence on the content generating activities. Among other influential factors on contents generation activities are generators' specialized skills and involvement of the users were proposed. In addition, the audience response, especially effective development of shared interests as well as feedback, was suggested to have significant influence on contents generation activities. Content generators usually reflect the shared interest of others. Shared interest is a distinct characteristic of UCC and observed in all the three websites, in which common interest is formed by the "threads" embedded with content. Through such threads of information and contents users discuss and share ideas while continuously extending and updating shared contents in the process. Evidently, UCC is a new paradigm representing the next generation of the Internet. In order to fully utilize this innovative paradigm, we need to understand how users take advantage of this medium in generating contents, and what affects their content generation activities. Based on these findings, UCC service providers should design their websites as common playground where users freely interact and share their common interests. As such this paper makes an important first step to gaining better understand about this new communication paradigm created by UCC.

A Study on Information Users' Needs and Information Seeking Behavior of Doctoral Researchers in Digital Age (디지털 환경에서 학술연구자들의 정보요구 및 이용행태에 관한 연구 - 인문사회분야와 과학기술분야의 비교를 중심으로 -)

  • Kim, Jeong-Hwan;Kim, Jay-Hoon;Hwang, Jae-Young
    • Journal of Korean Library and Information Science Society
    • /
    • v.42 no.3
    • /
    • pp.189-208
    • /
    • 2011
  • In the digital environment where the Internet and IT change rapidly, researchers have utilized scientific information by relying on more complex and various media than before. This study performed a group interview with thirteen questions derived from five categories in order to understand information needs and information seeking behaviors of Korean doctoral researchers in this information environment. The five categories are (1) identifying information resource usage pattern, (2) attitude towards information resources and reasons for use, (3) IT skills and information literacy, (4) physical library use vs electronic access, and (5) attitudes toward the digital library. In particular, this study focused on analyzing similarities and differences of two groups of researchers selected equally in the humanities and social sciences and in science and technology by doing the interview. The research showed that there are no differences in the goal of using scientific information, information literacy, the ratio of using written materials to electronic resources, and routes of acquiring research ideas or knowledge, but there are differences in materials used for studies or researches and in favorite scientific portal sites.

The Development of Travel Demand Nowcasting Model Based on Travelers' Attention: Focusing on Web Search Traffic Information (여행자 관심 기반 스마트 여행 수요 예측 모형 개발: 웹검색 트래픽 정보를 중심으로)

  • Park, Do-Hyung
    • The Journal of Information Systems
    • /
    • v.26 no.3
    • /
    • pp.171-185
    • /
    • 2017
  • Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

A Study on the Expansion of Workflow for the Collection of Surface Web-based OSINT(Open Source Intelligence) (표면 웹기반 공개정보 수집을 위한 워크플로우 확장 연구)

  • Lee, SuGyeong;Choi, Eunjung;Kim, Jiyeon;Lee, Insoo;Lee, Seunghoon;Kim, Myuhngjoo
    • Journal of Digital Convergence
    • /
    • v.20 no.4
    • /
    • pp.367-376
    • /
    • 2022
  • In traditional criminal cases, there is a limit to information collection because information on the subject of investigation is provided only with personal information held by the national organization of legal. Surface web-based OSINT(Open Source Intelligence), including SNS and portal sites that can be searched by general search engines, can be used for meaningful profiling for criminal investigations. The Korean-style OSINT workflow can effectively profile based on OSINT, but in the case of individuals, OSINT that can be collected is limited because it begins with "name", and the reliability is limited, such as collecting information of the persons with the same name. In order to overcome these limitations, this paper defines information related to individuals, i.e., equivalent information, and enables efficient and accurate information collection based on this. Therefore, we present an improved workflow that can extract information related to a specific person, ie., equivalent information, from OSINT. For this purpose, different workflows are presented according to the person's profile. Through this, effective profiling of a person (individuals) is possible, thereby increasing reliability in collecting investigation information. According to this study, in the future, by developing a system that can automate the analysis process of information collected using artificial intelligence technology, it can lay the foundation for the use of OSINT in criminal investigations and contribute to diversification of investigation methods.

User Perception of Personal Information Security: An Analytic Hierarch Process (AHP) Approach and Cross-Industry Analysis (기업의 개인정보 보호에 대한 사용자 인식 연구: 다차원 접근법(Analytic Hierarch Process)을 활용한 정보보안 속성 평가 및 업종별 비교)

  • Jonghwa Park;Seoungmin Han;Yoonhyuk Jung
    • Information Systems Review
    • /
    • v.25 no.4
    • /
    • pp.233-248
    • /
    • 2023
  • The increasing integration of intelligent information technologies within organizational systems has amplified the risk to personal information security. This escalation, in turn, has fueled growing apprehension about an organization's capabilities in safeguarding user data. While Internet users adopt a multifaceted approach in assessing a company's information security, existing research on the multiple dimensions of information security is decidedly sparse. Moreover, there is a conspicuous gap in investigations exploring whether users' evaluations of organizational information security differ across industry types. With an aim to bridge these gaps, our study strives to identify which information security attributes users perceive as most critical and to delve deeper into potential variations in these attributes across different industry sectors. To this end, we conducted a structured survey involving 498 users and utilized the analytic hierarchy process (AHP) to determine the relative significance of various information security attributes. Our results indicate that users place the greatest importance on the technological dimension of information security, followed closely by transparency. In the technological arena, banks and domestic portal providers earned high ratings, while for transparency, banks and governmental agencies stood out. Contrarily, social media providers received the lowest evaluations in both domains. By introducing a multidimensional model of information security attributes and highlighting the relative importance of each in the realm of information security research, this study provides a significant theoretical contribution. Moreover, the practical implications are noteworthy: our findings serve as a foundational resource for Internet service companies to discern the security attributes that demand their attention, thereby facilitating an enhancement of their information security measures.

A Study on the Consumer-focused Quality Factor of Health Information Websites (건강정보 웹사이트의 소비자 중심 품질요인에 대한 연구)

  • Shin, Hyun-San;Kim, Peong-Joong
    • Journal of the Korea Society of Computer and Information
    • /
    • v.17 no.7
    • /
    • pp.129-138
    • /
    • 2012
  • Despite of increasing pressure of opening to free for medical market by an advanced nation and increasing number of portal websites for health information, there have been few studies on the issues of enhancing the service quality of health information websites. The survey exhibited that the quality factors mainly affect significant and satisfied level of health information websites were usability, information structure and contents, interaction, and revisiting. This study was conducted to develop the consumer-focused quality factor of health information websites using WebQual model which was valued at efficient evaluation tool for this information system The methods taken in this research was to survey quality factors for significant and satisfied level of 323 consumers live in Chungcheong-do which is based on 48 questionnaires of WebQual quality factors. Our research extracted quality factors, usability, information quality (information structure and contents), interaction (personalisation and privacy) about view of criticality and satisfaction and relevant degree of revisiting. The research results presented in the paper will provide an efficient way of installing healthcare websites, moreover stone toward a marketing strategy for the consumer focus website provides under fierce competition.