Meredith Dedema

Business, Management and Accounting · Indiana University

Sharing Economy and Platforms Transportation and Mobility Innovations Digital Economy and Work Transformation Computational and Text Analysis Methods Topic Modeling

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2019

Research summary

AI-generated

Meredith Dedema studies how digital platforms and technologies shape work and social interaction, with a focus on the gig economy (app-based, on-demand work like ride-sharing) and how people interact with artificial intelligence tools. The research combines social and technical perspectives, examining topics such as workers' experiences with algorithms, video face filters, and how users communicate with AI chatbots. Methods often include text analysis and literature reviews.

Platform and gig economy workHuman interaction with AI and language modelsSocial and cultural aspects of digital mediaRide-sharing and mobility platformsText analysis and systematic reviews

Publication activity has grown over the last decade, with the most output in recent years (peaking in 2024) after little activity earlier.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.0/year recently

Recent publications

When Generative AI Mixes Languages: Multilingual Users' Code-Switching Behavior in Human-LLM Interaction
2026
AI-driven public consultation platforms
Conference on Digital Government Research · 2025
Strategic use of video face filter types: Influence of audience, gender, and culture
New Media & Society · 2024
Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper
Journal of the Association for Information Science and Technology · 2024
Working with Algorithms? The Socio-Technical Issues of the Platform-Mediated Gig Economy
SSRN Electronic Journal · 2024
Gender and Culture Differences in Perception of Deceptive Video Filter Use
Lecture notes in computer science · 2022
“Happy Rides Are All Alike; Every Unhappy Ride Is Unhappy in Its Own Way”: Passengers’ Emotional Experiences While Using a Mobile Application for Ride-Sharing
Lecture notes in computer science · 2019

Publishes in

Journal of the Association for Information Science and Technology×2
Lecture notes in computer science×2
New Media & Society×1
Proceedings of the Association for Information Science and Technology×1
arXiv (Cornell University)×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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