Challenge Project
Misogyny on Twitter

Li Tong

Description

Misogyny is the hatred of, contempt for, or prejudice against women or girls. Twitter provides us a free platform for sharing our ideas and contents. Meanwhile, in 2016, ‘filter bubbles’ on Twitter were attributed to an acceptance of hate speech and a mentality of intolerance surrounding gender in the presidential election. As a result, my project is going to focus on the spatial and temporal distribution of the misogynic tweets. The data is collected from the twitter api stored on servers at Oxford Internet Institute(oii). The time period is from September to November in 2016.

Description

Each tweet contains the geographical information, the coordinates of the bounding box. I extract the center of each bouding box for the location of each tweet. This map shows the locations of these points.

Description

This map shows the spatial distribution of the misogynic tweets. In this project, a hexagon layer is used to display the cluster of the points. Compared with regular raster layer, the hexagon layer could show the pattern more obviousely. The dark area in this map represent the high amount of points.

Description

This dataset is separated into three parts according to the timperiod, September, October, and November. Here is the map of September.

Description

Here is the October map.