• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.7
• /
• pp.579-589
• /
• 2021

In the era of tough competition, the customer's emotional attachment to brand plays a vital role to the successes and failures of enterprises. Specifically in the case of doing business online, brands have to cope with the troubles of rising from brand hate as brand avoidance, negative word of mouth and brand retaliation. Traditionally, the brand communication is very hard to control and with online communities, the problems tend to be even more severe. This paper aims to explore and discuss the core concept, the driven factors and the actionable consequences of brand hate among netizens. A total of 358 valid responses were obtained from surveys taken from the internet users across the nation. Partial Least Square - Structural Equation Modeling (PLS-SEM) was conducted using Smart PLS to assess the hypotheses. The result shows that the expression of brand hate among netizen consists of active hate and passive hate. Deficit value, deceptive advertising, negative past experience and ideology incompatibility have been confirmed as influencing factors on customers' brand hate emotion. Then brand hate itself causes the customer's actionable outcomes such as brand avoidance, brand negative word of mouth and brand retaliation. Along with the theoretical contributions and managerial implications have been recommended for enterprises to avoid netizens' brand hate.

• The Journal of the Korea Contents Association
• /
• v.20 no.2
• /
• pp.499-510
• /
• 2020

This study aims to analyze the causes of Internet hate speech, which has recently been emerging as a serious social problem and to seek for countermeasures. The experiences of hate speech are examined through the analysis of college students' essays and the causes and solutions of hate speech are suggested through the in-depth interviews with the experts. College students experience hate speech on the Internet on the basis of attributes such as age, gender, sexual orientation, and regionalism. Online comments on news, social media and online games are the main sources in spreading hate speech. On a personal level the lack of awareness of human dignity and the absence of media education are diagnosed as the reasons for online hate speech. The social reasons for online hate speech lie in the lack of human rights education and the problems of the media. In order to improve the problems of Internet hate speech, various suggestions are proposed on the legal, social and educational levels.

• Journal of Digital Convergence
• /
• v.17 no.1
• /
• pp.467-474
• /
• 2019

Recently, hate crime is emerging as a new social problem in Korea, as well as in many countries, as a growing number of cases of aversion to specific groups including people with disabilities. This paper was to review the concept and current status of hate crime in order to notify the seriousness of increasing hate crime, especially hate crime against persons with disabilities. Finally, This paper proposed some suggestions from the welfare point of persons with disabilities in terms of how to reduce these crimes utilizing the reports of related organizations and newspapers as well as relevant national and international studies.

• Journal of Information Processing Systems
• /
• v.19 no.5
• /
• pp.641-651
• /
• 2023

Malicious hate speech and gender bias comments are common in online communities, causing social problems in our society. Gender bias and hate speech detection has been investigated. However, it is difficult because there are diverse ways to express them in words. To solve this problem, we attempted to detect malicious comments in a Korean hate speech dataset constructed in 2020. We explored bidirectional encoder representations from transformers (BERT)-based deep learning models utilizing hyperparameter tuning, data sampling, and logits ensembles with a label distribution. We evaluated our model in Kaggle competitions for gender bias, general bias, and hate speech detection. For gender bias detection, an F1-score of 0.7711 was achieved using an ensemble of the Soongsil-BERT and KcELECTRA models. The general bias task included the gender bias task, and the ensemble model achieved the best F1-score of 0.7166.

• The Korean Journal of Franchise Management
• /
• v.14 no.1
• /
• pp.1-21
• /
• 2023

Purpose: During COVID-19, consumers prefer social distancing or contactless activities for safety, and hygienic condition has become one of the most important factors in evaluating restaurants. Therefore, this study aims to investigate whether offline/online word-of-mouth is affected by restaurant quality. Research design, data and methodology: The data were collected from 480 consumers who had experiences of visiting a restaurant in the past 90 days and analyzed with SPSS 28.0 and SmartPLS 4.0 programs. Results: Physical environment and menu had positively significant effects on brand love, while employee service and hygiene had no significance on brand love. Restaurant environment, menu, and hygiene had negatively significant effects on brand hate, but employee service had not significant impact on brand hate. Brand love had positively significant effects on offline and online word-of-mouth, and brand hate had negatively significant effects on offline and online word-of-mouth. Conclusions: First, restaurants need to develop a pleasant space where customers can have emotional experiences. Second, restaurants need to fulfill customers' desire for global food consumption. Third, restaurants should ensure hygiene and safety to prevent customers' brand hate. Lastly, restaurants need to establish offline/online word-of-mouth strategy to identify which restaurant quality attributes influence brand love/hate and offline/online word-of-mouth.

• Korean journal of communication and information
• /
• v.47
• /
• pp.120-147
• /
• 2009

The purpose of this paper is to promote bilateral friendly relations, the elements that hinder Hate Korea wave's(Kenkanryu) status and an analyzation of the characteristics of its causes and solutions for it. The Hate Korea wave is to be discussed in the fountain Hate Korea wave 2ch(2channel, ni channeru) acquaintances of information and representation to analyze the causes of this Japanese anti-Korean thinking. All of society should be aware of the differences and see what we have in common. I researched discussions of 2ch information and the content of other similar media. The expression was very violent. However, there was both general awareness of a gap between criticism and support. The gap was about what is not unusual on the Internet and not to be greatly concerned about. I also compares anti-Korean's awareness to Korea with general Japanese's, and finds that there are gap between them. For example by analyzing general Japanese's awareness we can find 18% of people who criticize the Hate Korea wave or have positive image of Korea. futhermore the proportion of anti-Korean contents in internet is not very high, so we don't have to worrying about the phenomenon seriously. but because of the following three points, there are sufficient needs to concern about the phenomenon constantly. First, sources of Hate Korea wave are traditional media. Second, the consumers of Hate Korea wave are mainly young generation who will make future relation of two countries. And last, Hate Korea wave include potential power to explode when certain conditions are met.

• Journal of the Korean Society for Library and Information Science
• /
• v.56 no.4
• /
• pp.431-453
• /
• 2022

Hate is a collective expression of exclusivity toward others and it is fostered and reproduced through false public perception. This study aims to explore the objects and issues of hate discussed in our society using text mining techniques. To this end, we collected 17,867 news data published from 1990 to 2020 and constructed a co-word network and cluster analysis. In order to derive an explicit co-word network highly related to hate, we carried out sentence split and extracted a total of 52,520 sentences containing the words 'hate', 'prejudice' and 'discrimination' in the preprocessing phase. As a result of analyzing the frequency of words in the collected news data, the subjects that appeared most frequently in relation to hate in our society were women, race, and sexual minorities, and the related issues were related laws and crimes. As a result of cluster analysis based on the co-word network, we found a total of six hate-related clusters. The largest cluster was 'genderphobic', accounting for 41.4% of the total, followed by 'sexual minority hatred' at 28.7%, 'racial hatred' at 15.1%, 'selective hatred' at 8.5%, 'political hatred' accounted for 5.7% and 'environmental hatred' accounted for 0.3%. In the discussion, we comprehensively extracted all specific hate target names from the collected news data, which were not specifically revealed as a result of the cluster analysis.

• Journal of the Korean Society for information Management
• /
• v.39 no.1
• /
• pp.331-350
• /
• 2022

This study aims to understand topics of incivility related to COVID-19 from analyzing Twitter posts including COVID-19-related hate speech. To achieve the goal, a total of 63,802 tweets that were created between December 1st, 2019, and August 31st, 2021, covering three targets of hate speech including region and public facilities, groups of people, and religion were analyzed. Frequency analysis, dynamic topic modeling, and keyword co-occurrence network analysis were used to explore topics and keywords. 1) Results of frequency analysis revealed that hate against regions and public facilities showed a relatively increasing trend while hate against specific groups of people and religion showed a relatively decreasing trend. 2) Results of dynamic topic modeling analysis showed keywords of each of the three targets of hate speech. Keywords of the region and public facilities included "Daegu, Gyeongbuk local hate", "interregional hate", and "public facility hate"; groups of people included "China hate", "virus spreaders", and "outdoor activity sanctions"; and religion included "Shincheonji", "Christianity", "religious infection", "refusal of quarantine", and "places visited by confirmed cases". 3) Similarly, results of keyword co-occurrence network analysis revealed keywords of three targets: region and public facilities (Corona, Daegu, confirmed cases, Shincheonji, Gyeongbuk, region); specific groups of people (Coronavirus, Wuhan pneumonia, Wuhan, China, Chinese, People, Entry, Banned); and religion (Corona, Church, Daegu, confirmed cases, infection). This study attempted to grasp the public's anti-citizenship public opinion related to COVID-19 by identifying domestic COVID-19 hate targets and keywords using social media. In particular, it is meaningful to grasp public opinion on incivility topics and hate emotions expressed on social media using data mining techniques for hate-related to COVID-19, which has not been attempted in previous studies. In addition, the results of this study suggest practical implications in that they can be based on basic data for contributing to the establishment of systems and policies for cultural communication measures in preparation for the post-COVID-19 era.

• Journal of Korean Society of Disaster and Security
• /
• v.15 no.3
• /
• pp.47-55
• /
• 2022

Hate crimes should be viewed as a social problem, not a personal crime, and a preventive system should be established to have an acceptance system for people who can engage in antisocial behavior outside of the social integrated value norms. In particular, in order to reduce tragic hate crimes, society and the government should actively work to resolve polarization, and personality education linked to families, schools, and society should be provided, and policies to establish social safety network such as social security systems should be prepared. In addition, it is necessary to switch to a society in which principles are emphasized, and a society that cares for the weak rather than the strong, rather than the expedient policy of words.

• Journal of Contemporary Eastern Asia
• /
• v.19 no.2
• /
• pp.179-196
• /
• 2020

Despite the enormous success in Japan of Korean popular culture, including TV dramas and K-pop, over the past few decades, anti-Korean sentiment in the country has become increasingly visible and intense. In this article, we examine how young Japanese female fans of Korean popular culture engage with the Korean Wave discourse while also engaging with―or, rather, disengaging from―anti-Korean movements and hate speech. Whereas previous scholarship on the Korean Wave has emphasized the power of active fans' agency, this paper investigates how the fans who passionately and self-reflexively consume Korean popular culture understand and react to the growing anti-Korean sentiment in Japan. Through in-depth interviews with 15 of these fans in their 20s and 30s, we show how they have navigated the discursive space between appreciation for Korean culture and anti-Koreanism in Japan.