• Title/Summary/Keyword: 오피니언면

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An Exploratory Study on the Political Information Behaviors of Korean Opinion Leaders on Twitter: Through the Lens of Theory of Information Worlds (한국의 트위터 오피니언 리더들의 정치적 정보행동에 관한 연구 - 정보세계이론을 중심으로 -)

  • Lee, Jisue
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.1
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    • pp.83-108
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    • 2019
  • This study investigated South Korean citizens' political communication and deliberation through Twitter during the 2014 General Election, focusing on influential opinion leaders' political information behaviors. Individual semi-structured interviews were administered with 13 opinion leaders using the multiple interview modes of email interviews, Skype interview and face to face interviews. Through the analytical lens of the theory of Information Worlds, the chosen social types and social norms of opinion leaders impacted their political information behaviors, including how they assessed, shared, exchanged, or avoided information, and, in turn, created boundaries between and around their information worlds that allowed for both conflict and synergy.

A Study on Characteristics of Letters-to-the-editor in Korean Newspapers: Content Analysis of Chosun Ilbo, Dong-a Ilbo, Hankyoreh, 1997-2009 (한국 중앙 일간지의 독자투고 특성 연구: 1997년~2009년 조선일보, 동아일보, 한겨레를 중심으로)

  • Cho, Ah-Ra;Lee, Gun-Ho
    • Korean journal of communication and information
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    • v.55
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    • pp.140-163
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    • 2011
  • This study analyzed the contents of letters-to-the-editor and the characteristics of the letters' writers, featured in three major newspapers, Chosun Ilbo, Dong-a Ilbo and Hankyoreh, in Korea from 1997 to 2009. Additionally, based on whether the letters contained the feedback function or not, it scrutinized the attributes of the letters-to-the-editor. The results indicated that the role of letters-to-the-editor has changed from a space for showing merely personal dissatisfactions or complaints into a space for expressing the reader's opinions about various issues. The study also showed that the proportion of writers who have specialized jobs and are members of civic groups steadily increased. It seems to tell that the quality of the letters was improved accordingly, because they could give in-depth opinions about the matters in which the society were interested. The feedback function of the letters was also gradually more activated for those years, and it could be thought as another evidence supporting the quality improvement of the letters, which were supposed to form the healthful public opinion. However, the writers' residential districts are heavily concentrated on the region surrounding Seoul, the capital of Korea. The study suggested that the newspapers should develop tools to overcome such defects.

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Exploring Opinions on University Online Classes During the COVID-19 Pandemic Through Twitter Opinion Mining (트위터 오피니언 마이닝을 통한 코로나19 기간 대학 비대면 수업에 대한 의견 고찰)

  • Kim, Donghun;Jiang, Ting;Zhu, Yongjun
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.4
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    • pp.5-22
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    • 2021
  • This study aimed to understand how people perceive the transition from offline to online classes at universities during the COVID-19 pandemic. To achieve the goal, we collected tweets related to online classes on Twitter and performed sentiment and time series topic analysis. We have the following findings. First, through the sentiment analysis, we found that there were more negative than positive opinions overall, but negative opinions had gradually decreased over time. Through exploring the monthly distribution of sentiment scores of tweets, we found that sentiment scores during the semesters were more widespread than the ones during the vacations. Therefore, more diverse emotions and opinions were showed during the semesters. Second, through time series topic analysis, we identified five main topics of positive tweets that include class environment and equipment, positive emotions, places of taking online classes, language class, and tests and assignments. The four main topics of negative tweets include time (class & break time), tests and assignments, negative emotions, and class environment and equipment. In addition, we examined the trends of public opinions on online classes by investigating the changes in topic composition over time through checking the proportions of representative keywords in each topic. Different from the existing studies of understanding public opinions on online classes, this study attempted to understand the overall opinions from tweet data using sentiment and time series topic analysis. The results of the study can be used to improve the quality of online classes in universities and help universities and instructors to design and offer better online classes.

A Study on Analysis of consumer perception of YouTube advertising using text mining (텍스트 마이닝을 활용한 Youtube 광고에 대한 소비자 인식 분석)

  • Eum, Seong-Won
    • Management & Information Systems Review
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    • v.39 no.2
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    • pp.181-193
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    • 2020
  • This study is a study that analyzes consumer perception by utilizing text mining, which is a recent issue. we analyzed the consumer's perception of Samsung Galaxy by analyzing consumer reviews of Samsung Galaxy YouTube ads. for analysis, 1,819 consumer reviews of YouTube ads were extracted. through this data pre-processing, keywords for advertisements were classified and extracted into nouns, adjectives, and adverbs. after that, frequency analysis and emotional analysis were performed. Finally, clustering was performed through CONCOR. the summary of this study is as follows. the first most frequently mentioned words were Galaxy Note (n = 217), Good (n = 135), Pen (n = 40), and Function (n = 29). it can be judged through the advertisement that consumers "Galaxy Note", "Good", "Pen", and "Features" have good functional aspects for Samsung mobile phone products and positively recognize the Note Pen. in addition, the recognition of "Samsung Pay", "Innovation", "Design", and "iPhone" shows that Samsung's mobile phone is highly regarded for its innovative design and functional aspects of Samsung Pay. second, it is the result of sentiment analysis on YouTube advertising. As a result of emotional analysis, the ratio of emotional intensity was positive (75.95%) and higher than negative (24.05%). this means that consumers are positively aware of Samsung Galaxy mobile phones. As a result of the emotional keyword analysis, positive keywords were "good", "good", "innovative", "highest", "fast", "pretty", etc., negative keywords were "frightening", "I want to cry", "discomfort", "sorry", "no", etc. were extracted. the implication of this study is that most of the studies by quantitative analysis methods were considered when looking at the consumer perception study of existing advertisements. In this study, we deviated from quantitative research methods for advertising and attempted to analyze consumer perception through qualitative research. this is expected to have a great influence on future research, and I am sure that it will be a starting point for consumer awareness research through qualitative research.