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Misogyny on Twitter By: Li Tong
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Background Twitter provides a platform for free speech
Misogyny is the prejudice against women.
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Data Data collection: twitter API stored on servers at Oxford Internet Institute (OII). key words: *****, *****, ****, ***** map of tweets
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Map of Tweet
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The misogynic tweets distribution
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The misogynic tweets distribution
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Method The points do not contain the attribute value.
Creating the grid by overlaying the hex-bin layer and point layer Then counting the number of point in each hex-bin Study area: New York State
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Method Whether or not there is cluster occurring in the study area?
Global Moran’s I Where is the cluster? Determine the scale Find out the minimum, maximum, and average distance between the polygons Execute incremental spatial autocorrelation Figure out the bandwidth based on the Z score Local statistic Local Moran’s I
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Method Two ways to determine the weight Compare with the two results
Fixed Bandwidth Contiguity edged only Compare with the two results Figure out how scale influences the results
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Results for 2000 km2 The minimum, the maximum, and the average distance to the specified Nth nearest neighbor (N = 1) Minimum Distance 24.352(km) Average 38.411(km) Maximum 56.066(km)
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Results for 2000 km2 Spatial Autocorrelation by Distance
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Results for 2000 km2 Global Moran’s I Summary by Distance
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Result for 2000km2 Fixed bandwidth
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Result for 2000 km2 Contiguity Edged Only
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Results for 2000 km2 The outlier (the blue area) is not shown on the result with fixed bandwidth because the difference between area covered by the hex- bin and circle. The contiguity edged area is better for this case
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BUT!!
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The results in other scales
The result of 1000 km2
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The results in other scales
The result of 500 km2
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The results in other scales
The result of 200 km2
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The results in other scales
The result of 100 km2
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Discussion The scale of the hex-bins influences the result. More clusters are shown in the smaller scale.
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Question Please!!! NO
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Question Please!!!
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