Danny Valdez

Assistant Professor

Indiana State University

United States

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About

Dr. Danny Valdez is an Assistant Professor at Indiana University in the United States. His research interests focus on the intersection of social media, mental health, and public health, with recent articles exploring topics such as the analysis of content on platforms like TikTok and Reddit, as well as the quality of cancer-related information in new media. He employs methods like neural network topic modeling and meta-analysis to uncover patterns and implications in digital discourse surrounding caregiving and health issues.

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2025

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2022

Collaborators (15)

Maria Montenegro

Lecturer

Indiana State University

UNITED STATES

Danny Valdez

Research Interests

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Articles (19)

Quality of Cancer-Related Information on New Media: Systematic Review and Meta-Analysis (2014–2023) (Preprint)

Choking on TikTok: Memetic Content and CRAAP Analysis of Educative and Entertaining #Chokekink Videos

Anxiety and Depression are Associated with More Distorted Thinking on Social Media: A Longitudinal Multi-Method Study

Comparative Analysis of the Breast Cancer Information Landscape on Facebook: Neural Network Topic Modeling and Metadata Analysis of English and Spanish Content (Preprint)

Digital Epidemiology of Prescription Drug References on X (Formerly Twitter): Neural Network Topic Modeling and Sentiment Analysis

Online Social Media Reactions to the Overturn of Roe v. Wade: Public Health Implications and Policy Insights

The CareVirtue Digital Journal for Family and Friend Caregivers of People Living With Alzheimer Disease and Related Dementias: Exploratory Topic Modeling and User Engagement Study

Social Media Discourse Related to Caregiving for Older Adults Living With Alzheimer Disease and Related Dementias: Computational and Qualitative Study

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

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

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

Migrant Generations and Abortion Circumstances: Assessing Latinxs' Abortion Attitudes in the US*

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

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

“I Haven’t Been Diagnosed, but I Should Be”—Insight Into Self-diagnoses of Common Mental Health Disorders: Cross-sectional Study

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

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

Neutral or Framed? A Sentiment Analysis of 2019 Abortion Laws

Collaborators (15)

Maria Montenegro

Brandon Crawford

Johan Bollen

Maria Parker

Philip Massey

Yaojun Yan

Andrew Pickett

Shawn Chiang

Hsien-Chang Lin

Eric Walsh-Buhi

Benjamin Montemayor

Lorenzo Lorenzo-Luaces

Jennifer Trueblood

Wen-Juo Lo

Nicole Werner

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