Wang, Zijian, and David Jurgens. "It’s going to be okay: Measuring access to support in online communities." Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018.

This study explores the impact of gender revelation on the level of support received on online platforms. It introduces a novel dataset and methodology for identifying supportive responses, along with innovative techniques for inferring gender from text and names. Applying these methods to a vast corpus of 102 million online interactions, the analysis reveals a consistent pattern: identifying as a woman correlates with receiving more support but also facing more disparagement.