Christian Shaunlyn Chan

Associate Professor

International Christian University

Japan

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About

Christian Shaunlyn Chan is an Associate Professor at International Christian University in Japan. His research focuses on text mining and machine learning applications in mental health, online environments, and social behavior. Recent articles include studies on sentiment changes in text-based counseling, the impact of green space on violence, and the association between school start times and student wellbeing.

Articles (22)

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Collaborators (2)

Wijnand Van Tilburg

University of Essex

UNITED KINGDOM

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Katy Yuen Yan Tam

Assistant Professor

University of Toronto

CANADA

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Christian Shaunlyn Chan

Research Interests

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About

Articles (22)

Green space is associated with lower violent assault rates: A longitudinal remote sensing study

Assessing Heterogeneity in Sentiment Changes in Text-Based Counseling: Latent Class Trajectory Analysis

Non-Apathetic Neutrality Exacerbates Dehumanization and Violence in Online Environments: a Text Mining and Machine Learning Study

The effectiveness of an online attention training program in improving attention and reducing boredom

Delayed school start time is associated with better sleep, mental health, and life satisfaction among residential high-school students: a prospective study

All we need is love? Irreconcilable political incongruence in families after the 2019 social unrest in Hong Kong

Tracking and Profiling Repeated Users Over Time in Text-Based Counseling: Longitudinal Observational Study With Hierarchical Clustering

A text mining and machine learning study on the trends of and dynamics between collective action and mental health in politically polarized online environments

Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study

A comparative network analysis of the criminogenic needs of male emerging adult first-time offenders, repeated offenders, and university students

Brief Intervention to Promote Physical Activity and Mental Well-Being in Community Adults: A Pilot Cluster Randomized Controlled Trial

Boredom belief moderates the mental health impact of boredom among young people: Correlational and multi‐wave longitudinal evidence gathered during the COVID‐19 pandemic

Whatever will bore, will bore: The mere anticipation of boredom exacerbates its occurrence in lectures

Revisiting the factor structure of the insomnia severity index among survivors of the 2013 Super Typhoon Haiyan.

Evaluating the effectiveness of concurrent sessions and counselors’ attention allocation in online counseling.

Indirect contact with nature, lifestyle, and mental health outcomes during mandatory hotel quarantine in Hong Kong

Variability in the psychological impact of four waves of COVID-19: a time-series study of 60 000 text-based counseling sessions

Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: a parallel-group randomized controlled trial

Bystanders, protesters, journalists: A qualitative examination of different stakeholders’ motivations to participate in collective action

Lay beliefs about boredom: A mixed-methods investigation

Network-based prediction of the disclosure of ideation about self-harm and suicide in online counseling sessions

Autonomous motivation predicts students' engagement and disaffection in interprofessional education: Scale adaptation and application

Collaborators (2)

Wijnand Van Tilburg

Katy Yuen Yan Tam

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