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Interested in collaborating on research or discussing my work? I'm always open to connecting with fellow researchers, students, and industry professionals.
Exploring the intersection of artificial intelligence, machine learning, and social computing to solve real-world problems
My research interests are diverse and include neuropsychological and sociocultural influences on human-computer interactions, computational social science, psycholinguistics, social ideation systems and communities, as well as the application of physiological sensors in HCI or psychological research.
My current projects explore computational psycholinguistics, user role dynamics, and discourse patterns on social media using large language models and efficient attention mechanisms. My previous research examined the psychological and social factors that affect patterns of information disclosure on social media.
Journal of Open Source Software, 8(86), Article 5402, 2023
PII-Codex is an open-source Python library designed for comprehensive personally identifiable information detection, categorization, and severity assessment in text data, providing researchers and practitioners with tools for privacy-preserving data analysis.
Examining psychological and social factors affecting information disclosure patterns, privacy behaviors, and privacy-adverse actions in digital environments.
Exploring how cognitive processes and social contexts shape the way people interact with technology, including collaborative design and user experience.
Studying social dynamics, community interactions, and collective behavior in online platforms and digital social environments.
Understanding human behavior, communication patterns, and language processing through computational approaches and psychological theory.
Interested in collaborating on research or discussing my work? I'm always open to connecting with fellow researchers, students, and industry professionals.
Unveiling Influencer-Driven PII Disclosures in Social Media Discourse
E. J. Rosado, L. Wang, L. P. Dringus, & J. Sun
Open Science Foundation, 2024
This study investigates how social media influencers drive personally identifiable information (PII) disclosures in online discourse, examining the patterns and implications of privacy-related content sharing in influencer networks.
Privacy vs. Social Capital: Examining Information Disclosure Patterns Within Social Media Influencer Networks
E. J. Rosado
ProQuest Dissertations Publishing, 2024
Doctoral dissertation examining the trade-offs between privacy and social capital in social media influencer networks, analyzing how information disclosure patterns affect network dynamics and individual privacy behaviors.