• Title/Summary/Keyword: 선거 캠페인

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An Empirical Case Study of Spreading Public Opinion: Supporting Rates of 19th Presidential Election (여론 확산 시점과 크기에 대한 실증 사례 연구: 19대 대선 후보자 지지도를 중심으로)

  • Lee, Doyul;Kim, Hana
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.116-125
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    • 2022
  • The purpose of this case study is to investigate an empirical analysis on how public opinion spreads, when is the effect to occur, and how much effective. Data from the 19th presidential election period, specifically supporting rates for a candidate, Moon Jae-in were used. Results indicated that a supporting rate of increase were not linear and the points where the rate of increase is enhancing was 27-8%. It was 1.4 times higher than the previous period. Results providing this research is not appropriate for generalizability due to a characteristic of a case study, but this study has a value in trying to statistically analyze the accurate figures for how much 'majority opinion' is.

Analysis of public opinion in the 20th presidential election using YouTube data (유튜브 데이터를 활용한 20대 대선 여론분석)

  • Kang, Eunkyung;Yang, Seonuk;Kwon, Jiyoon;Yang, Sung-Byung
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.161-183
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    • 2022
  • Opinion polls have become a powerful means for election campaigns and one of the most important subjects in the media in that they predict the actual election results and influence people's voting behavior. However, the more active the polls, the more often they fail to properly reflect the voters' minds in measuring the effectiveness of election campaigns, such as repeatedly conducting polls on the likelihood of winning or support rather than verifying the pledges and policies of candidates. Even if the poor predictions of the election results of the polls have undermined the authority of the press, people cannot easily let go of their interest in polls because there is no clear alternative to answer the instinctive question of which candidate will ultimately win. In this regard, we attempt to retrospectively grasp public opinion on the 20th presidential election by applying the 'YouTube Analysis' function of Sometrend, which provides an environment for discovering insights through online big data. Through this study, it is confirmed that a result close to the actual public opinion (or opinion poll results) can be easily derived with simple YouTube data results, and a high-performance public opinion prediction model can be built.

Semantic Network Analysis of Presidential Debates in 2007 Election in Korea (제17대 대통령 후보 합동 토론 언어네트워크 분석 - 북한 관련 이슈를 중심으로)

  • Park, Sung-Hee
    • Korean journal of communication and information
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    • v.45
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    • pp.220-254
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    • 2009
  • Presidential TV debates serve as an important instrument for the general viewers to evaluate the candidates’ character, to examine their policy, and finally to make an important political decisions to cast ballots. Every words candidates utter in the course of entire election campaign exert influence of a certain significance by delivering their ideas and by creating clashes with their respective opponents. This study focuses on the conceptual venue, coined as ‘stasis’ by ancient rhetoricians, in which the clashes take place, and examines the words selection made by each candidates, the manners in which they form stasis, call for evidence, educate the public, and finally create a legitimate form of political argumentation. The study applied computer based content analysis using KrKwic and UCINET software to analyze semantic networks among the candidates. The results showed three major candidates, namely Lee Myung Bak, Jung Dong Young, and Lee Hoi Chang, displayed separate patterns in their use of language, by selecting the words that are often neglected by their opponents. Apparently, the absence of stasis and the lack of speaking mutual language significantly undermined the effects of debates. Central questions regarding issues of North Korea failed to meet basic requirements, and the respondents failed to engage in effective argumentation process.

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Issue tracking and voting rate prediction for 19th Korean president election candidates (댓글 분석을 통한 19대 한국 대선 후보 이슈 파악 및 득표율 예측)

  • Seo, Dae-Ho;Kim, Ji-Ho;Kim, Chang-Ki
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.199-219
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    • 2018
  • With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.

Film and the Politics of Post-memory in Chile's No and Korea's The Attorney (칠레의 와 한국의 <변호인>, 영화와 포스트메모리의 정치)

  • Park, Jungwon
    • Cross-Cultural Studies
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    • v.44
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    • pp.29-58
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    • 2016
  • 'Post-memory' is the act of remembering traumatic events in history by subsequent generations who have not had direct experiences or relations with them. For this reason, the narratives of 'post-memory' are considered as re-interpretations of the past deeply influenced by current perspectives and concerns. The Chilean film NO goes back to the Referendum of 1988 in order to examine the "NO campaign" which was opposed to another eight years of continuation of the Pinochet regime. Although this campaign contributed significantly to the Chilean democratization, the filmmaker does not just celebrate it: rather he attempts to cast a critical reflection on its strategies that eventually turned democracy into a "commodity" by deploying commercial language and marketing tools for characterizing and describing it. On the other hand, the Korean movie The Attorney sheds light on the story of an attorney who, during the military regime in the 1980's, became a human rights lawyer when he tried to advocate for university students accused of violating national security law. This film reconstitutes the meaning of democracy built upon the logic of "common-sense" that privileges freedom and fundamental human rights over Statism. Despite the different historical contexts between Chile and South Korea, these two movies retell the history of a dictatorship that ended a couple of decades ago. In doing so, they raise questions about history, memory and democracy in order to deepen the understanding of current social and political circumstances while placing an emphasis on the roles and responsibilities of intellectuals during the transition to democracy and democratic consolidation.

Language Games between Donald Trump and Gloria Anzaldúa (도널드 트럼프와 글로리아 안살두아의 '언어' 게임)

  • Park, Jungwon
    • Cross-Cultural Studies
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    • v.46
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    • pp.85-112
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    • 2017
  • Donald Trump, the $45^{th}$ president of the United States, has revived the 'English Only' policy since the beginning of his presidential campaign. The monolingualism not only underscores his extremely conservative ideas, but it also reflects the nativist tendency that prevents the demographic and cultural transformation of the US, which is accelerated by globalization and transnational migration. In particular, Donald Trump tries to reconfirm the mainstream American culture that is now thought to have been threatened by Hispanization and the growing number of Spanish speakers. This paper examines the effects of "code-switching" and the possibility of a bilingual community by contrasting Donald Trump with Gloria $Anzald{\acute{u}}a$, one of the representative Latina writers who created a "border language." Borderlands/La Frontera (1987) includes Spanish glossaries and expressions to represent her bilingual realities, while attempting to translate from English to Spanish, and vice versa. However, the text occasionally demonstrates the impossibility of translation. In doing so, $Anzald{\acute{u}}a$ indirectly states that it is indispensable to present both languages at the stage; she also invites monolingual readers to make more efforts to learn and better understand the Other's language. A "border language" she attempts to embody throughout the text is created in the process of encounters, conflicts, and negotiations among languages of different ethnicities, classes and generations. It does not signify an established form: rather it appears as a constantly transforming language, which can provide us with new perspectives and an alternative way of communication beyond monolingualism.