Theo Lynn
Papers
2
Total Citations
5
H-Index
2
About
Theo Lynn is a researcher whose work sits at the intersection of digital health communication, social media analytics, and computational social science. His scholarship has focused particularly on the dynamics of online health discourse, with a notable emphasis on anti-vaccination communities and the role of automated actors in shaping public health narratives. Lynn's most recognized contributions examine how automated software programs and social bots operate within the #antivaxx conversation on Twitter, investigating both their prevalence and the nuanced ways influencers deploy them — whether maliciously or benevolently — to amplify health misinformation. His 2021 paper offering a preliminary exploration of bots in COVID-19 anti-vaccine discourse has garnered early citations, with follow-up work in 2025 extending this analysis across the critical pre- and post-vaccine release period. By applying computational methods to map automated activity in sensitive public health conversations, Lynn contributes meaningfully to our understanding of how digital ecosystems can either erode or reinforce trust in health institutions. His research carries significant implications for platform governance, public health communication strategy, and the growing field of infodemiology.
Research Focus
Key Achievements
Top Papers
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