• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.799-808
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• 2004

Well documented, simplified and clarified source code is required for the mission critical application software area in which C programing language is generally used. We suggest an XML_based comment management system for C source code. The comment management system is composed of 6 modules including comment user module, reviewer module, comment extraction module, comment traceability link module, comment tag definition module and storage management module. The XML comment tags defined in this paper cover categories of the development process activities applying the IEEE standard 1028 and IEEE standard 1012. The XML Schema Is used to insert comments into C source code and to extract XML tags from C source code and the XSL-FO is used fur the visual display professing o( comment extraction results.

• Information Systems Review
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• v.23 no.4
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• pp.147-163
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• 2021

We investigate the effect of comment history disclosure on portal news comments. Specifically, based on the scraped news comments from Naver and Daum (two leading Korean news portals), we employ the difference-in-differences estimator to empirically tease out the impact of the comment history disclosure policy implemented in Naver on its news comments. Our result shows that the policy implementation significantly increased the length and the positiveness of online news comments but did not affect their quality.

• Knowledge Management Research
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• v.20 no.2
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• pp.87-103
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• 2019

The purpose of this study was to explore the factors influencing acceptance (e.g., comprehension,) and diffusion of information recipients' by depending on the authenticity of news. Specifically, this study has examined the effects of the news contents(political vs. general), need for cognition(high vs. low) and authenticity of the News(real news vs. fake news) on both acceptance and diffusion of news. Based on previous work, this study has developed a conceptual model to present each research hypothesis and tested it by conducting experiments as the follows. As a result, according to the authenticity of the news and the contents of the news (political and general), the acceptance of political contents was high regardless of the authenticity of the news, and the acceptance of real news was higher than that of fake news. However, in the proliferation (comment), both the political contents and the general contents showed the characteristic of spreading (commenting) fake news rather than real news. contrary to this, the cognitive level did not show any significant difference in acceptance (understanding) and proliferation (comment, sharing, recommendation). This study provides academic implications in that it examines the influences of accepting (comprehension) and diffusion (comment, sharing, recommendation) of real news and fake news. It also provides practical implications for responding to fake news and new marketing strategies in an environment where contents are delivered through diverse social media.

• Asia pacific journal of information systems
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• v.24 no.2
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• pp.1001-1005
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• 2014

• Asia pacific journal of information systems
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• v.24 no.1
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• pp.1001-1004
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• 2014

• Asia pacific journal of information systems
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• v.24 no.3
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• pp.1001-1006
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• 2014

• Asia pacific journal of information systems
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• v.24 no.4
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• pp.1001-1009
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• 2014

• East Asian mathematical journal
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• v.37 no.5
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• pp.599-612
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• 2021

In China, Weibo is one of the social platforms with more users. It has the characteristics of fast information transmission and wide coverage. People can comment on a certain event on Weibo to express their emotions and attitudes. Judging the emotional tendency of users' comments is not only beneficial to the monitoring of the management department, but also has very high application value for rumor suppression, public opinion guidance, and marketing. This paper proposes a two-input Adaboost model based on TextCNN and BiLSTM. Use the TextCNN model that can perform local feature extraction and the BiLSTM model that can perform global feature extraction to process comment data in parallel. Finally, the classification results of the two models are fused through the improved Adaboost algorithm to improve the accuracy of text classification.

• Asia pacific journal of information systems
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• v.27 no.1
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• pp.54-76
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• 2017

The purpose of marketing via Facebook is to convince consumers to become fans of a brand. Facebook constructs virtual brand communities that enable brand fans to interact with these brands. This study investigates the antecedents and consequences of fan participation characterized by the breadth and depth of brand fans' like, comment, and share activities. An empirical analysis with 204 survey respondents reveals that expected benefits, such as brand information, social interaction ties, playfulness, and incentive, have positive effects on fan participation. Furthermore, fan participation increases fan's attitudinal loyalty, which then positively affects behavioral loyalty. Theoretical and practical implications of the findings as well as future research directions are also discussed.

• Knowledge Management Research
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• v.19 no.2
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• pp.91-108
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• 2018

This study mainly focused on measuring the impact of comments for a particular song on the number of streamings and downloads. We modeled multiple regression equations to perform this analysis. We chose digital music market for the object of analysis because of its inherent characteristics, such as experience goods, high bandwagon effect, and so on. We carefully utilized text mining technique in accordance with the algorithm of Naïve Bayes classifier to distinguish whether a comment for a piece of music be regarded as positive or negative. In addition, we used 'size of agency' and 'existence of hit song' as moderating variables. The reason for usage of those variables is that those are assumed to affect users' decision for selecting particular song especially when downloading or streaming via music sites. We found empirical evidences that positive comments for a particular song increase the number of both downloads and streamings. However, positive comments may decrease the number of downloads when the size of agency of the artist is big. As a result, we were able to say that a positive comment for a particular song functioned as 'word-of-mouth' effect, inducing other users' behavioral response. We also found that other features of an artist such as size of the agency that the artist belongs to functioned as an external factor along with feature of the song itself.