AIML@LU brown bag seminar: Using Artificial Intelligence to Recapture Norms: Did #metoo change gender norms in Sweden?

Titel: Using Artificial Intelligence to Recapture Norms: Did #metoo change gender norms in Sweden?

Abstract: Norms are challenging to define and measure, but this paper takes advantage of text data and the recent development in machine learning to create an encompassing measure of norms. An LSTM neural network is trained to detect gendered language. The network is used as a tool for creating a measure of how much past gender norms are followed in relation to the metoo- movement on Swedish Twitter. This paper shows that gender norms on average are less followed half a year after the date of the first appearance of the metoo- hashtag. Previous literature suggests that gender norms change over generations, but the current result suggests that norms can change in the short run.

Presenter: Sara Moricz, PhD student in Economics at LU, who uses various quantitative methods to investigate themes in the interaction between economics/politics.

Host: Stefan Larsson, Department for Technology and Society

Location: E:1426, E-building, Ole Römers väg 3, LTH, Lund University

Download the paper: https://arxiv.org/abs/1903.00690