• Title/Summary/Keyword: Online Comments

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Can Online Community Managers Enhance User Engagement?: Evidence from Anonymous Social Media Postings (온라인 커뮤니티 이용자 참여 증진을 위한 관리자의 운영 전략: 대학별 대나무숲 분석을 중심으로)

  • Kim, Hyejeong;Hwang, Seungyeup;Kwak, Youshin;Choi, Jeonghye
    • Knowledge Management Research
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    • v.23 no.2
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    • pp.211-228
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    • 2022
  • As social media marketing becomes prevalent, it is necessary to understand the administrative role of managers in promoting user engagement. However, little is known about how community managers enhance user engagement in social media. In this research, we study how managers can boost online user participation, including clicking likes and writing comments. Using the SUR (Seemingly Unrelated Regression) model, we find out that the active participation of managers increases user engagement of both passive (likes) and active (comments) ones. In addition, we find that the number of emotional words included in posts has a positive effect on the passive engagement whereas it negatively affects the active engagement. Lastly, the congruency between posts and comments positively affects users' passive engagement. This study contributes to prior literature related to online community management and text analyses. Furthermore, our findings offer managerial insights for practitioners and social media managers to further facilitate user engagement.

An Exploratory Study on Usage of Korean Consonants and Vowels for Delivering Emotion (한글 자음 및 모음 사용을 통해 드러나는 온라인에서의 정서 표현에 대한 탐색적 연구)

  • Oh, Jonghwan;Jang, Sooyeun;Lee, Joonhwan
    • Journal of Korea Multimedia Society
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    • v.17 no.7
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    • pp.866-878
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    • 2014
  • On Korean websites, people often use several Korean vowels or consonants solely, which is the way to express emotion. This way of expression has scarcely been examined seriously, though it is one of the most popular online slangs. This is an exploratory study that reveals how and how much these expressions are used on social media. Data crawling technique was used as a way to examine the usage of vowels and consonants in ordinary situations. 6 'Facebook pages' popular among Korean users are selected, and about 2.5 million comments are collected from posts in those pages. 10 expressions, including 'ㅋ(K)', 'ㅎ(H)', 'ㅜ(U)', are counted and analyzed from the collected texts of comments. As a result, several patterns of using vowels and consonants are found. Especially, 'ㅋ(K)' is used much more frequently than other vowels or consonants, and used more continually. It is also found that the patterns of using vowels or consonants in writing comments changes as the mood of posts or the characteristics of Facebook pages.

Factors Influencing Acceptance of Online Social Shopping Site (온라인 Social Shopping 사이트 이용의도에 영향을 미치는 요인에 관한 연구)

  • Kang, You Rie;Park, Cheol
    • Journal of Information Technology Services
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    • v.10 no.1
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    • pp.1-20
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    • 2011
  • The market structure and consumer characteristics are changing dynamically according to internet shopping industry developing based on Web 2.0. But, there is absent typical online service after 'Cyworld.' The social shopping sites based on social networking reflect to present phenomenon that collective intellect, information sharing, participate in making information. The social shopping sites are not limited in particular shopping sites but include all of sites in online. So, consumers can copy various products and display on their own blog provided from social shopping sites and make some purchase reviews and any comments about products can lead transactions among social shopping sites. So, it might be a one of meta-shopping mall like 'Naver.' As the social shopping sites are new form, we just applied to TAM theory to figure out acceptance factors using SEM. The perceived enjoyment affect to usefulness, ease of use and using intension. The perceived ease of use also affect to usefulness and the usefulness affect to using intension positively. But the perceived ease of use was for nothing in using intension. Finally, we provided managerial implications to activate domestic online shopping industry and theoritical meaning using extended TAM.

Extracting and Visualizing Dispute comments and Relations on Internet Forum Site (인터넷 토론 사이트의 논쟁댓글 및 논쟁관계 시각화)

  • Lee, Yun-Jung;Jung, In-Joon;Woo, Gyun
    • The Journal of the Korea Contents Association
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    • v.12 no.2
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    • pp.40-51
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    • 2012
  • Recently, many users discuss and argue with others using replying comments. This implies that a series of comments can be a new source of information since various opinions can be appeared in the dispute. It is important to understand the implicit dispute structure immanent in the comment set. In this paper, we examine the characteristics of disputes using replying comments in the Internet forum sites using a set of test articles with the comments collected from SketicalLeft and Agora, which are famous Internet forum sites in Korea. And we propose a new method for detecting and visualizing the dispute sections and relations from a large set of replying comments. To show the performance of our method, we measured precision, recall, and F-measure. According to the experimental results, the F-measures of the detection of the comments in dispute are about 0.84 (SketpcialLeft) and 0.83 (Agora); those of the detection of the commenter pairs in dispute are 0.75 (SketpcialLeft) and 0.82 (Agora), respectively. Since our method exploits the temporal order of commenters to detect the disputes, it is not dependent on the host language nor on the typos in comments. Also, our method can help the readers to grasp the structure of controversy hidden in the comment set through the visualized view.

BERT-Based Logits Ensemble Model for Gender Bias and Hate Speech Detection

  • Sanggeon Yun;Seungshik Kang;Hyeokman Kim
    • Journal of Information Processing Systems
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    • v.19 no.5
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    • pp.641-651
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    • 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.

Influencing Factors on the Emotional Expression in Weibo Hot News - Focusing on 'Restaurant Collapse in Linfen City, Shanxi Province' - (웨이보 인기뉴스에 관한 감정표현에 영향을 미치는 요인 - '중국 산시성 린펀시 반점 붕괴 사건'을 중심으로 -)

  • Lu, Zhiqin;Nam, Inyong
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.105-117
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    • 2021
  • This study examined the factors that influence the emotional expression in comments on the hot news about the 'Restaurant Collapse in Linfen City, Shanxi Province' published in Sina Weibo.. As a result of the study, first, there were differences in emotional expression according to gender. Women expressed stronger anger, disappointment, sadness, and condemnation than men. Second, the intensity of emotional expression of users in the eastern region was significantly higher than that of users in the central and western region. Third, the greater the number of Weibo, the total number of blogs where users participated in comments and posted emotional expressions, the stronger the emotional expression was. Fourth, unauthenticated users showed stronger emotional expressions of disappointment and sadness than authenticated users. The results of this study present implications for the factors influencing emotional expression on hot news. This study is meaningful in that it can be compared with social networks such as Twitter and Facebook in the West by looking at the factors that influence emotional expression in the process of online public opinion formation in China, and also meaningful in that a big data analysis method was used in online news analysis.

Online Religious Culture in Korea: Focusing on Religious Activities and Special Cases of Religious Expression (한국의 온라인 종교문화에 대한 시론적 연구 - 온라인 종교활동과 종교적 표현상의 특이 사례를 중심으로 -)

  • Shim Hyoung-june;Lee Won-sub;Oh Joon-hyeok;Lee You-na
    • Journal of the Daesoon Academy of Sciences
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    • v.45
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    • pp.187-226
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    • 2023
  • In contemporary society, digital media has become an integral part of daily life that shapes how people interact with the world around them. This phenomenon has also influenced religious activities and practices. Studies on digital religion and religious practices among digital natives in the Western world have indicated that traditional religious practices are on the decline. Instead, more accessible and flexible forms of religious activities and beliefs are emerging. Given this context, it is important to investigate whether similar trends are occurring in Korea. This study aims to explore the religious activities and expressions of Korean individuals in the online environment. Specifically, the study focuses on four main areas: ①the online religious activities of established religions such as Protestantism, Buddhism, and Catholicism; ②the online religious activities related to divination belief systems such as the Four Pillars of Destiny (四柱 saju) and Tarot; ③online holy sites and wish comments or chats; and ④popular religious neologisms such as jileumshin (지름神 a god with the power to justify consumption) and gatsaeng (갓[God]生 one's best life). Through this review, it can be ascertained that religious ideas and practices are restricted by the attributes of digital media. This implies that the emergence of simplistic forms of religious ideas and activities is associated with the features of digital media and the consumption of digital content.

Investigating the Influence of Perceived Usefulness and Self-Efficacy on Online WOM Adoption Based on Cognitive Dissonance Theory: Stick to Your Own Preference VS. Follow What Others Said (온라인 구전정보 수용자의 지각된 정보유용성과 자기효능감이 구전정보 수용의도에 미치는 영향에 관한 연구: 의견고수와 구전수용의 비교)

  • Lee, Jung Hyun;Park, Joo Seok;Kim, Hyun Mo;Park, Jae Hong
    • Asia pacific journal of information systems
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    • v.23 no.3
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    • pp.131-154
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    • 2013
  • New internet technologies have created a revolutionary new platform which allows consumers to make decision about product price and quality quickly and provides information about themselves through the transcript of online reviews. By expressing their feelings toward products or services on virtual opinion platforms, users extend their influence into cyberspace as electronic word-of-mouth (e-WOM). Existing research indicates that an impact of eWOM on the consumer decision process is influential. For both academic researchers and practitioners, investigating this phenomenon of information sharing in online website is essential given the increasing number of consumers using them as sources of purchase decisions. It is worthwhile to examine the extent to which opinion seekers are willing to accept and adopt online reviews and which factors encourage adoption. Discerning the most motivating aspects of information adoption in particular, could help electronic marketers better promote their brand and presence on the internet. The objectives of this study are to investigate how online WOM influences a persons' purchase decision by discovering which factors encourage information adoption. Especially focused on the self-efficacy, this research investigates how self-efficacy affects on information usefulness and adoption of online information. Although people are exposed to same review or comment about product or service, some accept the reviews while others do not. We notice that accepting online reviews mainly depends on the person's preference or personal characteristics. This study empirically examines this issue by using cognitive dissonance theory. Specifically, in the movie industry, we address few questions-is always positive WOM generating positive effect? What if the movie isn't the person's favorite genre? What if the person who is very self-assertive so doesn't take other's opinion easily? In these cases of cognitive dissonance, is always WOM generating same result? While many studies have focused on one direct of WOM which indicates positive (or negative) informative reviews or comments generate positive (or negative) results and more (or less) profits, this study investigates not only directional properties of WOM but also how people change their opinion towards product or service positive to negative, negative to positive through the online WOM. An experiment was conducted quantitatively by using a sample of 168 users who have experience within the online movie review site, 'Naver Movie'. Users were required to complete a survey regarding reviews and comments taken from the real movie page. The data reflected user's perceptions of online WOM information that determined users' adoption level. Analysis results provide empirical support for the proposed theoretical perspective. When user can't agree with the opinion of online WOM information, in other words, when cognitive dissonance between online WOM information and users' preference occurs, perceived self-efficacy significantly decreases customers' perception of usefulness. And this perception of usefulness plays an important role in determining users' intention to adopt online WOM information. Most of researches have been concentrated on characteristics of online WOM itself such as quality or vividness of information, credibility of source and direction of online WOM, etc. for describing effect of online WOM, but our results suggest that users' personal character (e.g., self-efficacy) plays decisive role for acceptance of online WOM information. Higher self-efficacy means lower possibility to accept the information that represents counter opinion because of cognitive dissonance, whereas the people that have lower self-efficacy are willing to accept the online WOM information as true and refer to purchase decision. This study suggests a model for understanding role of direction of online WOM information. Also, our result implicates the importance of online review supervision and personalized information service by confirming switching opinion negative to positive is more difficult than positive to negative through the online WOM information. This implication would help marketers to manage online reviews of their products or services.

Analysis and Visualization for Comment Messages of Internet Posts (인터넷 게시물의 댓글 분석 및 시각화)

  • Lee, Yun-Jung;Ji, Jeong-Hoon;Woo, Gyun;Cho, Hwan-Gue
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.45-56
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    • 2009
  • There are many internet users who collect the public opinions and express their opinions for internet news or blog articles through the replying comment on online community. But, it is hard to search and explore useful messages on web blogs since most of web blog systems show articles and their comments to the form of sequential list. Also, spam and malicious comments have become social problems as the internet users increase. In this paper, we propose a clustering and visualizing system for responding comments on large-scale weblogs, namely 'Daum AGORA,' using similarity analysis. Our system shows the comment clustering result as a simple screen view. Our system also detects spam comments using Needleman-Wunsch algorithm that is a well-known algorithm in bioinformatics.

Compliance to Feedback on Uncivil Comments in a Virtual Online News Portal: The Role of Avatar Presence (가상 온라인 기사 포털에서 아바타의 존재와 반시민적 댓글 피드백에 대한 행동 순응)

  • YounJung Park;HeeJo Keum;SeYoung Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.419-425
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    • 2024
  • As digital communication gains prominence, there is an increasing trend in uncivil behaviors like rude or hateful comments and the empathetic actions towards them, highlighting the need for social efforts to address these issues. As part of these endeavors, we investigated how avatar feedback in a virtual news portal affects users' empathy towards uncivil comments. We defined both posting and empathizing with uncivil comments as antisocial actions. To this end, we posted socially controversial news in a virtual space and provided feedback in two forms when participants selected uncivil comments: text-only feedback and feedback accompanied by an avatar. We then assessed the impact of this feedback on behavioral conformity, guilt, and self-image concern through surveys. Our results showed that avatar-provided feedback significantly influenced participants' social responses more than text-based feedback. Interaction with avatars notably increased participants' behavioral conformity, guilt, and self-image concern. We concluded that avatar-based interactions can positively influence users' social behaviors and attitudes, suggesting their potential in fostering a more civil and responsible digital communication culture.