• International Journal of Contents
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• 제17권4호
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• pp.52-61
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• 2021

The 2020 US Presidential Election was a highly-anticipated moment for our global society. During the election period, the most intriguing issue was who would be the winner-Trump or Biden? Among the possible main themes of the 2020 election, from the COVID-19 pandemic to racism, this study focused on feminism ('women') as a main component of Biden's victory. To explore the character of Biden's supporters, this paper focused on internet spaces as a source of public opinion. To guide the data analysis, this study employed four indices from empirical studies on Big Data analytics: issue salience, attention diversity, emotional mentioning, and semantic cohesion. The main finding of this study was that the representative keyword 'women' appeared more prevalently within content related to Biden than Trump, and the keyword pairs indicated that female voters were the main reason for Trump's failure but the root cause of Biden's victory. The results of this study indicated the role of the internet as a forum for public opinion and a fountain of political knowledge, which requires more rigorous investigation by researchers.

• Asian Journal for Public Opinion Research
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• 제10권4호
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• pp.262-276
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• 2022

In this study, we examine how the third- and first-person perceptions of election polling news are linked to voters' political behaviors through anxiety and pride. The results of two web-based surveys conducted before and after the 2022 local elections in South Korea demonstrate that the third-person perception of election polling news is directly and indirectly linked to support for restrictions on media reports of election poll results through anxiety. The first-person perception of polling news is positively associated with reinforcement of support for the preferred candidate. These results suggest that how voters perceive the effects of polling news may have actual impacts on their political behaviors.

• 디지털융복합연구
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• 제17권3호
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• pp.433-438
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• 2019

본 연구는 2018년에 치러진 제7회 전국동시지방선거에 나왔던 선거 포스터 중 특정 후보인의 포스터의 시각적 디자인 요소를 분석하고, 이 포스터가 훼손된 이유에 관해서 알아보기 위해 선행연구와 심층면담을 진행한다. 이 연구의 목적은 시각적 디자인 요소가 훼손된 포스터에 어떠한 영향력을 행사했는지 알아보고자 함에 있다. 연구 방법으로는 국내 선거공약포스터의 훼손 사례들을 조사하였다. 그리고 2차 실증 연구로 심층면담을 진행하여 특정 서울시장 후보의 포스터의 시각적 디자인 요소에 관하여 연령대별 여성과 남성 대상자들의 긍정적이거나 부정적인 견해를 조사하였다. 그 결과, 2가지 지점을 발견했다. 첫째, 시각적 디자인 요소들은 공약포스터의 훼손에 직접적 영향을 주지 않았다. 두 번째, 메시지를 담고 있는 정치적 슬로건이 가장 부정적인 영향을 주었다. 이 연구는 시각적 디자인 요소가 선거공약 포스터에 미치는 영향력에 관한 조사로써, 국내 선거 공약 포스터의 훼손과 연관지어 연구했다는 데 의의가 있다. 추후 연구를 통해 국내 선거공약 포스터의 시각적 디자인 요소가 영향력 있게 발전하는 데에 도움이 되기를 기대한다.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.104-110
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• 2022

This paper aims to analyze discourse metaphors by paying attention to Seoul mayoral by-election, mainly focusing on election campaign and its related news articles. The 2021 Seoul mayoral by-election was held because the former mayor died in an apparent suicide after he was accused of years of sexual harassment to a former secretary. But in the run-up to the by-election, the newly coined word 'alleged victim' from the ruling party caused a big controversy because the party attempted to deny the authenticity of the secretary's claim by calling her "an alleged victim," instead of "a victim" to defend the former mayor who is a member of the ruling party, implying that the woman's claim is just an allegation with no proof. Thus, this paper has analyzed how news stories were reported with regard to the word 'alleged victim' poser on news stories in two Korean quality newspapers, a conservative newspaper (Chosun Ilbo) and a liberal newspaper (Hankyoreh) from March 1 to April 1, 2021 and analyzed them with the framework of Lakoff and Johnson's Conceptual Metaphor Theory(1980). The findings are as follows: (i) the conservative newspaper reports this issue much more than the liberal newspaper; (ii) both quality newspapers follow the metaphor principles by Conceptual Metaphor Theory; (iii) the conservative newspaper is more likely to follow the Strick Father model (a conservative model) while the liberal newspaper is to follow the Nurturant Parent model (a liberal model), thus indicating that each newspaper's ideology is well represented by the models of Conceptual Metaphor Theory

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.189-195
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• 2024

The issue "Exploring Social Media and Other Crucial Success Elements of Attitude towards Politics and Intention for Voting in Pakistan" is a huge study embracing more issues. The politics of Pakistan is basically the politics of semantic groups. Pakistan is a multilingual state more than six languages. There are 245 religious parties in Pakistan, as elaborated by the Daily Times research. The use of social media sites in Pakistan peaked to its maximum after announcement of election schedule by the Election Commission of Pakistan in March 22, 2013. Most of the political parties used it for the recent elections in Pakistan to promote their agenda and attract country's 80 million registered electors. This study was aiming to investigate the role of social media and other critical variables in the attitude towards politics and intention for voting.

• 한국IT서비스학회지
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• 제14권1호
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• pp.263-276
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• 2015

As a social being, people can cooperate and control one another through the power of reputation, which is a critical opinion of someone given by others. Nevertheless, there have been obstacles in clarifying the identity of traditional types of reputation, for they are mostly words of mouth passed among members of a society. However, due to dramatic technological advancement and widespread use of the Internet and social media, now we can clearly see and analyze written reputations, which used to be passed only from mouth to mouth. Against this background, this study examines whether a negativity bias-a notion that an event of a more negative nature has a greater effect on one's psychological state than a positive event-applies to spread of reputation online, and examines related factors and effects. To this end, reputation-related online comments left by social media users during the election period of Korea's 6th provincial election on 4 June 2014 were analyzed. For the analysis, a Bass diffusion model was used, which is based on the innovation diffusion theory. The analysis results confirmed that, at online forum, negative reputations spread more quickly and more widely than positive ones, had a greater impact, and mass media such as online news outlets had a significant influence on spread of reputation online.

• International Journal of Advanced Culture Technology
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• 제4권3호
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• pp.62-68
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• 2016

This study explores evaluative linguistic expressions in news reporting about the 2016 general election outcome in Korean newspapers. In particular, we have examined the evaluative linguistic expressions quoted from the three Western news media -New York Times, Washington Post, and BBC, both quantitatively and qualitatively in Korean news stories in order to know how journalists frame the news stories to persuade news consumers to accept their ideologies. This is based on the assumption that quotation can be a tool in conveying ideologies to news consumers (van Dijk, 1988, Jullian, 2011). To achieve this purpose, we selected ten Korean newspapers which included quotations from the news stories of the three Western media and then analyzed the quoted expressions quantitatively and qualitatively. For a qualitative analysis, evaluative linguistic expressions were analyzed to examine the journalistic stances of the Western news stories, following Martin's (2003) appraisal theory. For a quantitative analysis, a word frequency analysis was conducted to figure out the ratio of quoted words to the whole news texts in Korean newspapers. As a result, it was found that the news stories of BBC and Washington Post were more frequently quoted than that of New York Times when journalists conveyed neutral or positive attitude to the election outcome, thus confirming that evaluative linguistic expressions were functionally employed to convey journalists' ideologies or stances to news readers.

• 한국산업정보학회논문지
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• 제19권6호
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• pp.7-13
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• 2014

Twitter is a microblogging service that allows users to post short messages on a variety of topics in real-time. In this work, we analyze Twitter messages posted during the 2012 elections and find those implications. This study uses Twitter messages related to the 2012 South Korean presidential campaign. The three main candidates are represented by the abbreviations A, M, and P. According to the statistical analysis, the number of tweets and re-tweets for candidate P was relatively stable over the entire campaign period. Candidate P had the highest percentage of terms related to elections pledges, and candidates A and M were judged to be a little bit poorer with respect to campaign promises. The positive terms ratio for candidate P was higher than those for the other two candidates. The negative terms ratio in the Twitter messages of P was considerably smaller than those of candidates A and M. After considering all these results, it is suggested cautiously that Twitter messages posted during an election campaign could be correlated with the outcome of the election.

• 한국콘텐츠학회논문지
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• 제20권9호
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• pp.208-223
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• 2020

이번 2020년 4.15에 치른 21대 총선에서는 코로나 19와 맞물리면서 선거 캠페인으로써의 SNS에 대한 중요성이 더욱 두드러졌다. 이에 본 연구에서는 선거 캠페인으로서의 SNS 전략을 수립하기 위해 다양한 연구를 진행하였다. 본 연구는 선거 캠페인 도구로서의 SNS(페이스북, 트위터, 유튜브) 활동을 살펴보고자 2020년 제21대 국회의원 선거 기간 동안에 서울시 종로구 후보인 이낙연 후보와 황교안 후보의 SNS상의 메시지에 관한 내용 분석을 실시하였다. 자료 수집은 각 후보들의 공식계정의 올라온 글들을 위주로 분석했으며 조사방법은 R 프로그램을 활용하여 텍스트 분석을 했으며, 텍스트 분석 중 워드 클라우드, 비교 분석, q-graph 분석, LDA, STM 분석 등을 사용하였다. 그리고 분석결과는 상관관계 분석을 통하여 통계적으로 유의미한지를 확인하였다. 연구 결과 이낙연 후보의 선거 내용을 살펴보면 코로나, 국민, 문제, 위기, 고통, 지혜 등이 있는데, 이는 코로나로 인한 위기 문제를 지혜를 짜내어 극복해야 한다는 메시지를 나타내고 있다. 반면 황교안 후보의 선거 내용은 문재인, 정권, 살리다, 조국, 심판, 경제 등이 있는데, 이는 현재의 문재인 정권과 조국에 대한 심판과 더불어 나라를 살려야 한다는 메시지를 전달하고 있다. 그리고 정치홍보 관점에서 이낙연 후보는 칭송(acclaim)을 많이 하였고 반면에 황교안 후보는 공격(attack)을 많이 하였으며, 메시지 논제는 두 후보 모두 이미지보다는 정책에 대한 부분을 강조하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 추계학술발표대회
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• pp.928-931
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• 2014

The detection of human behavior from social media revolutionized health, business, criminal and political prediction. Significance of it, in incentive transformation of public opinion had already proven for developed countries in improving democratic process of elections. In $3^{rd}$ World countries, voters poll votes for personal interests being unaware of party manifesto or national interest. These issues can be addressed by social media, resulting as ongoing process of improvement for presently adopted electoral procedures. On the optimistic side, people of such countries applied social media to garner support and campaign for political parties in General Elections. Political leaders, parties, and people empowered themselves with social media, in disseminating party's agenda and advocacy of party's ideology on social media without much campaigning cost. To study effectiveness of social media inferred from individual's political behavior, large scale analysis, sentiment detection & tweet classification was done in order to classify, predict and forecast election results. The experimental results depicts that social media content can be used as an effective indicator for capturing political behaviors of different parties positive, negative and neutral behavior of the party followers as well as party campaign impact can be predicted from the analysis.