Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference

no code implementations • 21 Sep 2020 • Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan Rossi, Tim Althoff

Across 648 experiments and two datasets, we evaluate every commonly used causal inference method and identify their strengths and weaknesses to inform social media researchers seeking to use such methods, and guide future improvements.

Causal Inference