A5101798793- Misinformation and Its Impacts
- Vaccine Coverage and Hesitancy
- Smoking Behavior and Cessation
- Behavioral Health and Interventions
- Data Management and Algorithms
- Web Data Mining and Analysis
- Media Influence and Health
- Digital Mental Health Interventions
- Mobile Health and mHealth Applications
- Hate Speech and Cyberbullying Detection
- COVID-19 and Mental Health
- Sentiment Analysis and Opinion Mining
- Computational and Text Analysis Methods
- Advanced Text Analysis Techniques
- Technology Adoption and User Behaviour
- Complex Network Analysis Techniques
- Innovation in Digital Healthcare Systems
- Recommender Systems and Techniques
- Technology and Data Analysis
- Video Analysis and Summarization
- Mental Health Treatment and Access
- E-commerce and Technology Innovations
- Energy and Environmental Systems
- Climate Change Communication and Perception
- Sexuality, Behavior, and Technology
Kyung Hee University
2025
Cornell University
2022-2024
University of Ulsan
2023
University of Pennsylvania
2018-2022
New York State College of Agriculture & Life Sciences
2022
Seoul National University
2000-2011
Wide-spread misinformation about the COVID-19 pandemic has presented challenges for communicating public health recommendations. Should campaigns to promote protective behaviors focus on debunking or targeting behavior-specific beliefs? To address this question, we examine whether belief in is directly associated with two (face mask wearing and social distancing), beliefs can account association better predict behavior, consistent behavior-change theory. We conducted a nationally...
Vaccination has engendered a spectrum of public opinions, with social media acting as crucial platform for health-related discussions. The emergence artificial intelligence technologies, such large language models (LLMs), offers novel opportunity to efficiently investigate discourses. This research assesses the accuracy ChatGPT, widely used and freely available service built upon an LLM, sentiment analysis discern different stances toward Human Papillomavirus (HPV) vaccination.
Sentiment analysis of alternative tobacco products discussed on social media is crucial in control research. Large language models (LLMs) are artificial intelligence that were trained extensive text data to emulate the linguistic patterns humans. LLMs may hold potential streamline time-consuming and labor-intensive process human sentiment analysis. This study aimed examine accuracy replicating evaluation messages relevant heated (HTPs). GPT-3.5 GPT-4 Turbo (OpenAI) used classify 500 Facebook...
A framework for recommending online videos operates by constructing user profiles as an aggregate of tag clouds and generating recommendations according to similar viewing patterns.
In today's complex media environment, does coverage influence youth and young adults' (YYA) tobacco use intentions? We conceptualize the "public communication environment" effect mediators, then ask whether over time variation in exogenously measured from mass social sources predicts daily YYA cigarette smoking intentions a rolling nationally representative phone survey (N = 11,847 on 1,147 days between May 2014 June 2017). Past week anti-tobacco pro-tobacco content Twitter, newspapers,...
As media exposure can influence people's opinions and perceptions about vaping smoking, analyzing the valence of content tobacco products (ie, overall attitude toward tobacco, cigars, electronic cigarettes, etc.) is an important issue. This study advances field by a large amount multiple across six different sources.From May 2014 to December 2017, we collected all English-language items that U.S. young people might see from mass websites (long-form) social (Twitter YouTube). We used...
Wide-spread misinformation about the COVID-19 pandemic has presented challenges for communicating public health recommendations. Should campaigns to promote protective behaviors focus on debunking or targeting behavior-specific beliefs? To address this question, we examine whether belief in is directly associated with two (face mask wearing and social distancing), beliefs can account association better predict behavior, consistent behavior-change theory. We conducted a nationally...
Misinformation about COVID-19 vaccines is widely available in the public communication environment. Exposure to misinformation may increase perceived risk of and evoke negative emotions toward that eventually reduce vaccination intentions. The influences vary by aspects individuals' social networks. Expanding reasoned action approach, we proposed a comprehensive model examine roles beliefs, risk, fear, worry, networks explaining We tested using survey data South Korean adults, collected when...
We combined insights from various theories and models of media learning, advanced an indirect model accounting for the mechanisms underlying influences on knowledge acquisition. Our was largely supported by data a two-wave longitudinal panel survey with nationwide sample Korean adults. It found that both personal cancer history worry were positively associated exposure to stomach information media. In turn, related reflective integration information, which ultimately leads only among people...
In this article, we propose a typology of industry convergences which encourages to invent new types products and services through combining technologies across industries identifying success factors convergence were resulted by convergences. detail, the proposed is analyzed based on three viewpoints such as academic areas that provide knowledge technologies, structures for existing markets, user experiences used improving friendliness. Such can not only be considered sources but also...
This study investigates the role of information sources in propagation and reception misleading narratives on social media, focusing case Chemtrail conspiracy theory—a false claim that trails sky behind airplanes are chemicals deliberately spread for sinister reasons. We collected data from Facebook Pages Groups discussing theory. specifically focused identifying analyzing “signature” sources, which repeatedly used by online communities engaged discussion a narrative but not widely other...
FeedMil, a dedicated stream search engine, can help users retrieve dynamic real-time streams, focusing on quality and topic relevance rather than simple query matching.
The present study investigates indirect effects of communication about suicide in interpersonal relationships and patient-provider on suicidal intention via attitude, descriptive norm, injunctive self-efficacy committing among Korean adults, using longitudinal survey data. Moderation perceived social support are also tested. As a result path analysis (N = 984), with family, friends, coworkers is significantly related to pro-suicide norm norm. Positive attitude toward suicide, high intention....
People may use multiple health apps at the same time or in close sequence, and effect of vary across different socioeconomic groups. However, context healthy eating, studies have focused on using a single app. This study aims to test relationship with fruit vegetable consumption, assessing moderation by education level. Employing longitudinal survey data from South Korean adults, we conducted regression analyses lagged association between intake fruits vegetables, whether moderates...
Abstract The influences of information exposure on youth and young adults’ (YYA) support for smoking/vaping regulations have been understudied. This study examines (i) the relationships between routine to (i.e. scanning) anti-smoking/pro-vaping YYA anti-smoking/vaping (ii) whether these differ across users non-users tobacco products. We analyzed data from a nationally representative two-wave rolling cross-sectional survey in United States, collected 2014 2017 (baseline n = 10 642; follow-up...
COVID vaccination intentions vary among the US population. We report results of a nationally representative survey undertaken in July 2020 (N=889) that examined association six vaccine-specific beliefs with to vaccinate. find four have substantial associations intention (Gammas between .60 and .77), mostly do not gender, age, race/ethnicity, or misinformation (even though each those variables). Also, once adjusted for beliefs, level is related intentions. consider implications these argue...
우버, 에어비앤비, 카카오택시 등 오프라인과 온라인을 연결하여 새로운 가치를 창출하는 다양한 유형의 O2O(Online to Offline) 서비스가 국내외에서 등장하고 있다. 온라인의 편리함과 오프라인의 현장성을 결합하는 O2O 서비스는 모바일, 사물인터넷, 핀테크, 빅데이터 ICT 기술 발전에 힘입어 관련 시장 규모도 급속도로 성장하고 본 연구에서는 국내 서비스 사례 및 현황을 살펴보고, 산업 활성화와 관련된 이슈들을 분석하였다. 구체적으로는 산업과 관련한 법제도 규제 현황, 기존 오프라인 사업자와의 이해관계 충돌 문제, 지원 인프라 부작용 또는 역기능 등의 쟁점을 정리하였다. 이러한 현황 이슈 분석에 기초하여, 최종적으로 활성화 발전을 위한 종합적인 정책 방향을 제시하였다. 연구에서 제안한 정책방향이 정부 정책에 반영되어 미국, 중국 선도국가와의 격차를 해소하고, 산업의 경쟁력 강화에 기여하기를 기대된다. A variety of (Online services such...
The U.S. Food and Drug Administration (FDA) currently requires a warning about the addictive nature of nicotine to be placed on electronic cigarette advertisements packaging. To consider value additional messages public health outcomes, this study examines additive effect new warnings that are based recent claims from federal authorities. We conducted secondary analysis data 1,202 youth ages 14–17 test impact exposure for vaping products cognitive elaboration, fear, willingness vape smoke....
We introduce an energy consumption analysis of complex digital systems through a case study ARM7TDMI RISC processor by using new measurement technique. developed cycle-accurate system based on charge transfer which is robust to spiky noise and capable collecting range power profiles in real time. The relative variation the core measured changing op-code, instruction fetch address, register number, value, data immediate operand value each pipeline stage, respectively. demonstrated...
The world wide web of today publishes a great number real-time content, causing the increasing need for differentiated way searching. In this paper, three issues related to retrieving content are presented, and their applications proposed. First, characteristics as well concept search introduced. Second, technologies that enable described. Finally, platform application services utilizing is
Objective. Vaccination has engendered a spectrum of public opinions, with social media acting as crucial platform for health-related discussions. The emergence artificial intelligence technologies, such large language models (LLMs), offers novel opportunity to efficiently investigate discourses. This research assesses the accuracy ChatGPT, widely used and freely available service built upon an LLM, sentiment analysis discern different stances toward Human Papillomavirus (HPV) vaccination....
<sec> <title>BACKGROUND</title> Sentiment analysis of alternative tobacco products discussed on social media is crucial in control research. Large language models (LLMs) are artificial intelligence that were trained extensive text data to emulate the linguistic patterns humans. LLMs may hold potential streamline time-consuming and labor-intensive process human sentiment analysis. </sec> <title>OBJECTIVE</title> This study aimed examine accuracy replicating evaluation messages relevant heated...
Opposition and hesitancy to vaccination have been one of the major threats global health. Social media sites suspected as a breeding ground misleading narratives about vaccines, but little is known how pervasive anti-vaccine views are on world's largest social media, Facebook. Here, we study prevalence online groups Facebook with anti- pro-vaccine information ecosystem that enables production dissemination narratives, using collection data this issue date. The results reveal 74% posts each...