Research Interests and Methodologies
My work centers around how people sort through their identity and perceptions of authenticity on social media. More specifically, I’m interested in the new forms of sociality that are emerging on these platforms and how offline social dynamics are being reshaped and recreated online.
My work is informed by Science and Technology Studies (STS) as a framework - I see social media platforms as sociotechnical assemblages that both shape us and are shaped by us. Most of my research concerns Instagram and/or TikTok.
Plus, lots of fun stuff: memes, online humor, and niche Instagram pages.
I’m a mixed-methods researcher with experience in a wide range of advanced quantitative methods. I primarily work in R and use Python for some of my data wrangling and API interactions. Qualitatively, I primarily use (multimodal) critical discourse analysis, case studies, and interviews.
Ongoing Work
(Last updated 3/12/2024)
- Dissertation Work: Platforms, Practices, and Flows: Memetic Practices on TikTok and Instagram (committee: Dr. Patrick Rafail, Dr. Stephen Ostertag, Dr. Peter Kunze, and Dr. Crystal Abidin)
- Co-authored paper with Dr. Crystal Abidin, “KidTok: ‘TikTok famous’ children, Community norms, and Deviance” (in progress)
- "'Policies that protect young people but also enable them to find a voice': Reading Latent Values and Priorities in TikTok's Community Guidelines for Youth" (in progress)
- Co-authored paper with Dr. Crystal Abidin and Dr. Jing Zeng: TikTok, Instagram Reels, and Parasitic Platformization" (in progress)
- During the Summer of 2023, I’ll be engaged in a fellowship with Curtin University working on TikTok-related research
- PhD Qualifying Exam 1: Negotiating Identity and Authenticity on Social Media (click to download)
- PhD Qualifying Exam 2: Enacting Identity via Memes and Everyday Politics on Instagram and TikTok (click to download)
Publications
Turvy, A. (2023). Potholes and Power: A Multimodal Critical Discourse Analysis of “Look At This F*ckin’ Street” on Instagram. Social Media + Society, 9(3). https://doi.org/10.1177/20563051231194580
Turvy A. (2022). State-Level COVID-19 Symptom Searches and Case Data: Quantitative Analysis of Political Affiliation as a Predictor for Lag Time Using Google Trends and Centers for Disease Control and Prevention Data. JMIR formative research, 6(12), e40825. https://doi.org/10.2196/40825
Presentations
Media
Experience
All of the nitty-gritty is documented on my LinkedIn page, but prior to my academic career I worked in K-12 education and operations. I have lots of experience with community-engaged work and with large-scale operations, financial and facilities management, project management, and event planning and execution.