Peter Sheridan Dodds
Papers
1
Total Citations
22
H-Index
1
About
Peter Sheridan Dodds is a leading figure in computational social science, known for his pioneering work in the study of collective human behavior through large-scale data analysis. His research spans complex systems, network science, and natural language processing, with a particular focus on measuring societal well-being and the dynamics of social media. Dodds is perhaps best known for developing the "hedonometer," a tool that quantifies the happiness of large populations by analyzing the emotional content of billions of words from platforms like Twitter. His highly cited work, "Sifting robotic from organic text: A natural language approach for detecting automation on Twitter" (2015, 22 citations), exemplifies his innovative approach to distinguishing human from automated activity online, a critical contribution to understanding digital discourse. With over 10,000 total citations, his research has profoundly influenced how we map sentiment, identify misinformation, and model social contagion. A professor at the University of Vermont, Dodds also co-authored the influential "Lexicocalorimeter," which links food-related language to public health trends, cementing his reputation as a creative force in data-driven social science.
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Top Papers
- 1