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Toward more rigorous and informative nutritional epidemiology: The rational space between dismissal and defense of the status quo

Critical reviews in food science and nutrition, 2023, Vol.63 (18), p.3150-3167

2023

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Declining well-being during the COVID-19 pandemic reveals US social inequities

PloS one, 2021-07, Vol.16 (7), p.e0254114-e0254114

2021

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Negative affect variability differs between anxiety and depression on social media

PloS one, 2024-02, Vol.19 (2), p.e0272107-e0272107

2024

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A theory-based assessment of mpox: Findings from a nationally representative survey of U.S. adults

PloS one, 2024, Vol.19 (3), p.e0299599-e0299599

2024

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Analyzing Reddit Forums Specific to Abortion That Yield Diverse Dialogues Pertaining to Medical Information Seeking and Personal Worldviews: Data Mining and Natural Language Processing Comparative Study

Journal of medical Internet research, 2024-02, Vol.26 (4), p.e47408-e47408

2024

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Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses

Journal of medical Internet research, 2023-07, Vol.25 (1), p.e48405-e48405

2023

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Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Journal of medical Internet research, 2023-06, Vol.25 (1), p.e43841-e43841

2023

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Using Natural Language Processing to Explore "Dry January" Posts on Twitter: Longitudinal Infodemiology Study

Journal of medical Internet research, 2022-11, Vol.24 (11), p.e40160-e40160

2022

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Computational analyses identify addiction help-seeking behaviors on the social networking website Reddit: Insights into online social interactions and addiction support communities

PLOS digital health, 2022-11, Vol.1 (11), p.e0000143-e0000143

2022

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Language Bias in Health Research: External Factors That Influence Latent Language Patterns

Frontiers in research metrics and analytics, 2020, Vol.5, p.4-4

2020

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The importance of interdisciplinary frameworks in social media mining: An exploratory approach between Computational Informatics and Social Network Analysis (SNA)

Health behavior research, 2021-08, Vol.4 (2)

2021

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Difficulty Regulating Social Media Content of Age-Restricted Products: Comparing JUUL's Official Twitter Timeline and Social Media Content About JUUL

JMIR infodemiology, 2021-01, Vol.1 (1), p.e29011-e29011

2021

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Does It Work for Everyone? The Influence of Demographic Variables on Statistical Reliability

Health behavior research, 2020-11, Vol.3 (2)

2020

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"I Haven't Been Diagnosed, but I Should Be"-Insight Into Self-diagnoses of Common Mental Health Disorders: Cross-sectional Study

JMIR formative research, 2023-01, Vol.7, p.e39206-e39206

2023

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Sociodemographics and Transdiagnostic Mental Health Symptoms in SOCIAL (Studies of Online Cohorts for Internalizing Symptoms and Language) I and II: Cross-sectional Survey and Botometer Analysis

JMIR formative research, 2022-10, Vol.6 (10), p.e39324-e39324

2022

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Should We Be Confident in Published Research? A Case Study of Confidence Interval Reporting in Health Education and Behavior Research

Health behavior research, 2021-04, Vol.4 (1)

2021

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Assessing rigid modes of thinking in self-declared abortion ideology: natural language processing insights from an online pilot qualitative study on abortion attitudes

Pilot and feasibility studies, 2022-06, Vol.8 (1), p.1-127, Article 127

2022

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Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Journal of medical Internet research, 2020-12, Vol.22 (12), p.e21418-e21418

2020

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Neutral or Framed? A Sentiment Analysis of 2019 Abortion Laws

Sexuality research & social policy, 2022, Vol.19 (3), p.936-945

2022

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Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research [version 1; peer review: 3 approved]

F1000 research, 2020, Vol.9, p.1235-1235

2020

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Topic Modeling: Latent Semantic Analysis for the Social Sciences

Social science quarterly, 2018-11, Vol.99 (5), p.1665-1679

2018

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Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP)

AIDS and behavior, 2023-02, Vol.27 (2), p.443-453

2023

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Computational analyses identify addiction help-seeking behaviors on the social networking website Reddit: Insights into online social interactions and addiction support communities

PLOS digital health, 2022-11, Vol.1 (11)

2022

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Mining Online Discourse Related to Transgender Exclusive Policies in Interscholastic Sport: an Exploratory Natural Language Processing Study

Sexuality research & social policy, 2023-09, Vol.20 (3), p.936-949

2023

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Abortion Reddit Forums Yield Diverse Dialogues Pertaining to Medical Information-Seeking and Personal Worldviews: A Data Mining and Natural Language Processing Study of the r/abortion and r/abortiondebate Subreddits. (Preprint)

Journal of medical Internet research, 2023-03

2023

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Toward more rigorous and informative nutritional epidemiology: The rational space between dismissal and defense of the status quo

Declining well-being during the COVID-19 pandemic reveals US social inequities

Negative affect variability differs between anxiety and depression on social media

A theory-based assessment of mpox: Findings from a nationally representative survey of U.S. adults

Analyzing Reddit Forums Specific to Abortion That Yield Diverse Dialogues Pertaining to Medical Information Seeking and Personal Worldviews: Data Mining and Natural Language Processing Comparative Study

Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses

Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Using Natural Language Processing to Explore "Dry January" Posts on Twitter: Longitudinal Infodemiology Study

Computational analyses identify addiction help-seeking behaviors on the social networking website Reddit: Insights into online social interactions and addiction support communities

Language Bias in Health Research: External Factors That Influence Latent Language Patterns

The importance of interdisciplinary frameworks in social media mining: An exploratory approach between Computational Informatics and Social Network Analysis (SNA)

Difficulty Regulating Social Media Content of Age-Restricted Products: Comparing JUUL's Official Twitter Timeline and Social Media Content About JUUL

Does It Work for Everyone? The Influence of Demographic Variables on Statistical Reliability

"I Haven't Been Diagnosed, but I Should Be"-Insight Into Self-diagnoses of Common Mental Health Disorders: Cross-sectional Study

Sociodemographics and Transdiagnostic Mental Health Symptoms in SOCIAL (Studies of Online Cohorts for Internalizing Symptoms and Language) I and II: Cross-sectional Survey and Botometer Analysis

Should We Be Confident in Published Research? A Case Study of Confidence Interval Reporting in Health Education and Behavior Research

Assessing rigid modes of thinking in self-declared abortion ideology: natural language processing insights from an online pilot qualitative study on abortion attitudes

Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Neutral or Framed? A Sentiment Analysis of 2019 Abortion Laws

Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research [version 1; peer review: 3 approved]

Topic Modeling: Latent Semantic Analysis for the Social Sciences

Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP)

Computational analyses identify addiction help-seeking behaviors on the social networking website Reddit: Insights into online social interactions and addiction support communities

Mining Online Discourse Related to Transgender Exclusive Policies in Interscholastic Sport: an Exploratory Natural Language Processing Study

Abortion Reddit Forums Yield Diverse Dialogues Pertaining to Medical Information-Seeking and Personal Worldviews: A Data Mining and Natural Language Processing Study of the r/abortion and r/abortiondebate Subreddits. (Preprint)

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