To clarify the concepts of dialects, vernacular and regional languages used with similar meanings, this study attempted to reveal the usage patterns and concepts of these expressions based on written corpus. The written corpus of printed newspaper articles from the online Naver News Library that archived newspaper articles from 1920 to 1999 and the news article corpus crawled by the online Naver News portal from January 1, 2004 to December 31, 2021 were extracted and analyzed. In particular, this paper analyzed the relationship between collates and keywords based on the corpus linguistic research methodology of the news article corpus for the past eighteen years and how they were being used in official records and press documents by corresponding with the 'dialects, vernacular, and regional languages' in socio-linguistic terms of modern Korean. The results are summarized as follows. First, the concept of linguistic norms that a dialects have terms corresponding to the words or standard languages was established after the 1930s. Second, in the library of newspaper articles published in the 20th century, dialects or vernaculars were perceived as negative objects to be removed in preparation for standard language. Third, it can be seen that the positive value judgment on 'vernacular' has increased in the corpus of news articles over the past decade. Fourth, dialects and vernacular, regional language, and standard language were used to be compatible with each other, and it can been seen that dialects were mainly used in academic contexts and vernacular were mainly used in everyday contexts. Fifth, it can be confirmed that the positive perception of standard language has been maintained in the 20th-century newspaper article corpus and the 21st-century news article corpus for the last eighteen years after the recognition of standard language.

본 연구에서는 기존의 네이버후드 효과 연구가 가지는 방법론적 이슈를 고려한 실증적인 방법을 적용하여, 학생들의 학업성 취도에 대한 네이버후드 효과를 규명하고자 하였다. 연구 목적의 달성을 위하여 개인-학교-네이버후드 3수준의 다수준 모형 분석을 수행하였다. 분석의 결과는 다음과 같다. 첫째, 기초모형을 통해 학생들의 수능 점수에 대한 수준별 영향력을 확인한 결과, 개인, 학교, 네이버후드 순으로 높은 영향을 미치는 것으로 나타났다. 네이버후드 효과의 정도는 과목별로 다소간의 차이가 있었는데, 국어에 비해 영어 점수에 대한 네이버후드 효과가 더 높게 나타났다. 둘째, 모형 3을 통해 지역별 네이버후드 효과를 살펴본 결과, 대부분의 지역에서 이전 모형에 비해 네이버후드 효과의 정도가 감소하였다. 그러나 양천구, 강남구 등 일부 학교군에 서는 여전히 높은 네이버후드 효과가 존재하는 것으로 나타났다. 본 연구는 그동안 논쟁이 되어왔던 네이버후드 효과에 대해 실증적인 분석을 통해 정량적인 수치를 제시하였다는 데에 의의가 있다. 이러한 결과는 학업성취도의 공간적 격차와 관련하여 교육정책의 방향을 결정하는 데에도 도움이 될 것으로 기대된다

4차 산업 혁명 시대에 인공지능은 IT 기업을 중심으로 기업들의 핵심 사업 전략이 되고 있다. 그리고 국내외 주요 포탈 기업들 또한, 인공지능 기반의 검색 서비스를 출시하고 있다. 인공지능 검색 서비스는 이미지·음성과 같은 비정형 데이터를 활용하며 검색 패러다임을 확장시켰다. 하지만 기존의 텍스트 기반의 검색 서비스와 다른 인터페이스를 제공한다. 익숙하지 않은 인터페이스는 서비스의 사용성을 저해할 수 있는 요소로, 인공지능 검색 서비스를 이용에 따른 사용성에 변화를 알아볼 필요가 있다. 본 연구는 네이버앱 8.9.3 베타버전을 사례로 인공지능 검색 서비스를 실험한다. 실험은 네이버앱 사용 경험이 있는 20대와 30대 30명을 대상으로, 네이버앱의 인공지능 검색 서비스인 스마트 렌즈, 스마트 보이스, 스마트 어라운드, AiRS 추천 콘텐츠의 사용성을 기존의 네이버앱 검색과 비교하여 평가한다. 실험분석 결과, 기존의 네이버앱 검색과 비교하여 통계적으로 유의미한 사용성 변화가 있는 것으로 나타났다. 스마트 렌즈, 스마트 보이스, 스마트 어라운드는 양(+)의 상관관계가, AiRS 추천 콘텐츠는 음(-)의 상관관계가 있었다. 본 연구는 인공지능 검색 서비스를 적용에 따른 사용성 변화를 평가하고 분석한 것으로, 추후 인공지능을 활용한 서비스의 사용성 평가 연구에 유용한 자료가 될 것으로 기대한다.

This study aims to examine the sociolinguistics of the abusive language used by NAVER news commentators. The results are as follows. First, it can be seen that there are many comments on political articles, and criticizing the government's policies or accusing the former and present presidents. Those who wrote those comments were usually in their forties, and the commentators who add profane comments were in their fifties. Moreover, the percentage of males who comment using profanity is quite high. In the case of commentaries on political articles, the ratio of male authorship was overwhelmingly high, however, in the case of social/cultural articles, the proportion of women who wrote commentaries was higher. The most frequent type of profanity was of the “mental deficiency type”, followed by the “sexual phenotype.” People commenting on news articles used abusive words, but they change their forms in various ways, this tactic is derived from the response to blocking profanity. Second, according to the analysis of the survey results, the respondents stated that they occasionally wrote comments on internet news but did not use profanity in the internet space. The most common reason for using profanity on the internet was “habitual”, followed by “trying to relieve stress”. The reaction to such profanity was intensive and ambivalent at the same time. The reason for using profanity was mainly attributed to positive and insensitive reactions. However, the result of a regarding how to cope with the abusive use language in internet comments showed that the respondents should mostly refrain from using it or should not use it. Also, the respondents thought that it was necessary for the manager to adopt measures to change the forced conversation on the internet site. Due to the high rate of responses to “striking out”, “strong regulation”, and “abusive deletion programs” in an effort to prevent the abusive language use in the internet space, the respondents generally did not seem to have any objection to these regulations.

This study is aimed at providing an exploratory education plan that is of direct interest to the local community through community-based art education. In this study, the “Naver Map” was used as a learning tool. The main theories behind the composition of contents of this plan are based on information and communication technology (ICT) education. First, classes were conducted over four sessions for 38 junior high school students. Subsequently, these classes were supplemented by six sessions for 12 elementary school students from the fifth and sixth grades. Consequently, the use of the Naver Map in community art education was effective in terms of convenience, ease of operation, accuracy of visual data, motivation, and continuity. The learners recognized the concept of “place” in the local community, and by producing appropriate works of art, they understood the concept of “place” and realized “social participation” and “culture creation.”

Purpose – Naver has emerged as a new leader in the open market. While existing open markets such as Gmarket, 11th Street, and so on are suffering from profitability deterioration, Naver is attracting sellers based on low commission and powerful search engine. We would like to analyze the impact of Naver shopping on the national economy, especially on employment, in a situation where the market reaction to Naver's strength as a leader in online shopping is mixed. Research Design, Data, and Methodology – Through the demand inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its shopping transaction. In turn, through the supply inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its low commission and powerful search engine. For the purpose of inter-industry analysis, as of 2018, the most recently announced 2014 inter-industry table (extension table) from the Bank of Korea is used. Results – The results of this study are as follows. First, Naver Shopping is expected to generate 7.8 trillion won’s trade in 2018, resulting in 244,225 of job inducement, and 158,598 of employment inducement. In addition, Naver Shopping is estimated to benefit KRW 213 billion to its sellers due to low commission and powerful search function, resulting in 8,667 of job inducement, and 5,655 of employment inducement. Second, in terms of job inducement and employment inducement due to Naver Shopping’s trade, transportation, business support service, information and communication, broadcasting, restaurants and lodging were ranked. Third, in terms of job inducement and employment inducement due to Naver Shopping's low commission and powerful search function, restaurants and hospitality, f/b and cigarette manufacturing, construction, and transportation equipment manufacturing were ranked. Conclusions – The number of job inducement resulting from low commission and powerful search engine of Naver shopping in 2018 was 8,667 (3.7% of 244,225, which was caused by transaction in Naver shopping in 2018), and employment inducement was 5,655 (3.7% of 158,598, which was caused by transaction in Naver shopping in 2018), which can be considered as additional employment impacts of Naver Shopping compared to the other online shopping operators.

This paper presents a decentralized coordination for a small-scale mobile robot teams performing a task through cooperation. Robot teams are required to generate and maintain various geometric patterns adapting to an environment and/or a task in many cooperative applications. In particular, all robots must continue to strive toward achieving the team’s mission even if some members fail to perform their role. Toward this end, given the number of robots in a team, an effective coordination is investigated for decentralized formation control strategies. Specifically, all members are required first to reach agreement on their coordinate system and have an identifier (ID) for role assignment in a self-organizing way. Then, employing IDs on individual robots within a common coordinate system, a decentralized neighbor-referenced formation control is realized to generate, keep, and switch between different geometric shapes. This approach is verified using an in-house simulator and physical mobile robots. We detail and evaluate the formation control approach, whose common features include self-organization, robustness, and flexibility.