How Digital Data Collection Methods Impact Scientific Inference - Dr. Rebekah Tromble

Explore the impact of digital data collection methods on scientific inference in this 28-minute talk by Dr. Rebekah Tromble from the Alan Turing Institute. Delivered as part of the "Bridging disciplines in analysing text as social and cultural data" workshop, delve into the challenges and opportunities of using large-scale text data for studying social and cultural phenomena. Learn about Twitter basics, data collection techniques, API understanding, logit regression, and streaming methods. Gain insights into the interdisciplinary approach needed to address methodological challenges in Natural Language Processing, Machine Learning, humanities, and social sciences. Discover how researchers can collaborate across disciplines to harness the potential of big data in scientific research.

Intro
Twitter Basics - Means of Collecting the Data
Understanding the APIs
Data Collection
Logit Regression
Streaming
(Preliminary) Conclusions
Beyond Twitter