Daejin Choi
Incheon National University
CrawlingCustomer retentionNetwork modelInternet privacyThe InternetCacheTitan (supercomputer)Regular expressionMental healthEnvironmental economicsWorld Wide WebDevelopmental psychologyBusinessPublishingPsychologyMarketingTree structureWork (electrical)Social groupRenewable energyTourismKey (cryptography)DescendantGroup decision-makingWeb pageConsumer behaviourData sciencePerceptionRouterSelection algorithmURL shorteningContent creationSuicidal ideationMisinformationLeakage (economics)ConversationDamagesWord embeddingUser informationSimilarity (psychology)Content (measure theory)Content (Freudian dream analysis)Quality (business)Suicide RiskFake newsOnline and offlineService (business)Foundation (engineering)RumorEcho (computing)PopularityIntervention (counseling)Construct (python library)Period (music)Social gamesCross lingualConsumer satisfactionSocial network serviceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Measurement studyUser participationComputer networkNetwork analysisAffect (psychology)Service (systems architecture)Computer sciencePublicationTertiary sector of the economySimulationScalabilitySocial mediaBitTorrentHospitality industrySuicide preventionNews mediaEvent (computing)Word (computer architecture)Internet trafficScale (social sciences)Sentiment analysisUploadExpression (mathematics)Social psychologyBehavioral patternSocial networkProtocol (object-oriented programming)Group (mathematics)Energy (esotericism)Private information retrieval
15Publications
7H-index
144Citations
Publications 17
Newest
#1Jisu Kim (SKKU: Sungkyunkwan University)H-Index: 3
#2Jihwan Aum (SKKU: Sungkyunkwan University)H-Index: 1
Last. Daejin Choi (Incheon National University)H-Index: 7
view all 6 authors...
Abstract null null As the SARS-CoV-2 (COVID-19) pandemic has run rampant worldwide, the dissemination of misinformation has sown confusion on a global scale. Thus, understanding the propagation of fake news and implementing countermeasures has become exceedingly important to the well-being of society. To assist this cause, we produce a valuable dataset called FibVID (Fake news information-broadcasting dataset of COVID-19), which addresses COVID-19 and non-COVID news from three key angles. First,...
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#1Taihu Li (SKKU: Sungkyunkwan University)
#2Jeewoo Yoon (SKKU: Sungkyunkwan University)H-Index: 3
Last. Jinyoung Han (SKKU: Sungkyunkwan University)H-Index: 12
view all 4 authors...
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Nov 1, 2020 in EMNLP (Empirical Methods in Natural Language Processing)
Last. Jinyoung Han (SKKU: Sungkyunkwan University)H-Index: 12
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Early intervention for suicide risks with social media data has increasingly received great attention. Using a suicide dictionary created by mental health experts is one of the effective ways to detect suicidal ideation. However, little attention has been paid to validate whether and how the existing dictionaries for other languages (i.e., English and Chinese) can be used for predicting suicidal ideation for a low-resource language (i.e., Korean) where a knowledge-based suicide dictionary has no...
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#1Jisu Kim (SKKU: Sungkyunkwan University)H-Index: 3
#2Dahye Jeong (SKKU: Sungkyunkwan University)H-Index: 1
Last. Eunil Park (SKKU: Sungkyunkwan University)H-Index: 29
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Abstract Given the energy-related accidents and issues in our society, public perceptions of specific energy technologies are a fundamental concern while formulating local and national energy plans. As an approach toward addressing these perceptions, the current study was aimed at collecting user-created contents on renewable energy in a topic-based social network service. A word network model in social network services (SNS) was proposed, and a network analysis was conducted for examining the p...
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#1Eunil Park (SKKU: Sungkyunkwan University)H-Index: 29
#2Jiwon Kang (Hanyang University)H-Index: 4
Last. Jinyoung Han (Hanyang University)H-Index: 12
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ABSTRACTCustomer retention has been one of the most recognized research issues in the service industry. The next on the list is predicting customer behaviour or understanding customer intent, which...
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#1Daejin Choi (Georgia Institute of Technology)H-Index: 7
#2Selin Chun (SNU: Seoul National University)H-Index: 3
Last. Ted Taekyoung Kwon (SNU: Seoul National University)H-Index: 21
view all 5 authors...
Spreading rumors on the Internet has become increasingly pervasive due to the proliferation of online social media. This paper investigates how rumors are amplified by a group of users who share similar interests or views, dubbed as an echo chamber. To this end, we identify and analyze ‘rumor’ echo chambers, each of which is a group of users who have participated in propagating common rumors. By collecting and analyzing 125 recent rumors from six popular fact-checking sites, and their associated...
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#1Ye-Eun Won (Hanyang University)H-Index: 1
#2Jiwon Kang (Hanyang University)H-Index: 4
Last. Jinyoung Han (Hanyang University)H-Index: 12
view all 5 authors...
Purpose With the rapidly improving communication technologies, a growing number of people communicate with each other in online environments. In particular, social networking services (SNSs) are one of the widely used and common places that enable active communication among users. To understand what drives successful online conversations in SNSs, this study aims to explore the roles of posts and first comments in successful online conversations. Design/methodology/approach To address the purpose...
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#1Jinyoung Han (Hanyang University)H-Index: 12
#2Daejin Choi (Georgia Institute of Technology)H-Index: 7
Last. Ted Taekyoung Kwon (SNU: Seoul National University)H-Index: 21
view all 6 authors...
© 2019 As the majority of Internet traffic today is attributed to content-centric applications, there has been ever-increasing demand for highly scalable and efficient content delivery. An accurate prediction on future content consumption is essential for such demand. To address such an issue, this paper introduces a new computational approach, Content Network (CN) that can capture the relations among contents, and its potential applications. We conduct a measurement study to investigate how con...
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#1Jiwon Kang (Hanyang University)H-Index: 4
#2Daejin Choi (SNU: Seoul National University)H-Index: 7
Last. Jinyoung Han (Hanyang University)H-Index: 12
view all 4 authors...
Online communication has become common social activities in our daily lives. This paper investigates the roles of 'influential comments' that affect other comments in online communication. To this end, we collect and analyze a large-scale communication data from Reddit, which consists of 81 K news-related posts and their 3 M associated comments written by 400 K users. Using the collected data, we investigate how influential comments affect the follow-up comments in a communication in terms of (i...
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#1Daejin Choi (SNU: Seoul National University)H-Index: 7
#2Jinyoung Han (Hanyang University)H-Index: 12
Last. Ted Taekyoung Kwon (SNU: Seoul National University)H-Index: 21
view all 6 authors...
Abstract It becomes the norm for people to share online content such as images, videos, and news over various channels including online social networks, news media, or online communities. One of the popular ways to publish and share online content is using a URL shortening service, which provides a short equivalent URL that is redirected to an original URL of content. This paper comprehensively analyze the practice of using short URLs from their creations to publishing to sharing, using a large ...
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