Apply the model and Analyze the Results
Hate Speech Detection
Date: 2023.08.07
Writer: 9tailwolf
Introduction
I completed the Collecting Data, and Making Language Model for Detecting Hate Speech on the previous work. In this page, I apply the Language Model with collected data. As a result, I can get distribution data of hate speech by type, and age-gender.
CAUTION : The result of model execution does not unconditionally represent a generation because the data is uneven
.
Result Analysis by Age-Gender Group
To make the comparison easier, I set the range of the y-axis to between 0 and 0.1
. However, in the items of Insult and Race/Region, the range of the y-axis was set between 0 and 0.2 according to the data results.
Hate Type : Gender
Gender Hate
was more prevalent in Younger Group. In particular, the 2030s Male Group showed a uniquely a lot of hate.
Hate Type : Age
The pattern of Age Hate
was simmilar as the pattern of Gender hate. It was also more prevalent in Younger Group, and the 2030s Male Group showed a uniquely a lot of hate.
Hate Type : Obscenity
The pattern of Obscenity
was also evenly distributed. It was a little bit more prevalent in 2030s, and 3040s male. In the younger group showed more Obscenity in male group, And the older group showed more Obscenity in women.
Hate Type : Insult
The pattern of Insult
was also more prevalent in Younger Group, and the 2030s Male Group showed a uniquely a lot of that.
Hate Type : Disability
The pattern of Disability
was also evenly distributed. It was a little bit more prevalent in 2030s, and 4050s female.
Hate Type : Political
The pattern of Political Hate
was shown more in older group. Especially, young female group seems to be shown very little hate but older group isn’t.
Hate Type : Religion
Religion Hate
was more prevalent in Older Group, and Male Group. It was also a very small amount compared to other type of hate.
Hate Type : Race/Region
Race/Region Hate
were also evenly distributed. But Accourding to gender, male groups showed a much higher prevalence.
Hate Type : Job
Job Hate
was more prevalent in Older Group .
Hate Type : Violence
Violence
was more prevalent in 2030s Male Group showed a uniquely a lot of hate.
Result Analysis by Type of Hate
To make the comparison easier, I set the range of the y-axis to between 0 and 0.1
.
Age-Gender Group : 2030s Male
2030s Male
is a group with the most numerous hate speech. For most types of hate, they showed more hate speech than average. There were so many Insult that made up around 20%, and the Gender Hate, Obscenity, Race/Region Hate, and Violance were more than 8%.
Age-Gender Group : 3040s Male
3040s Male
shows the most numerous hate speech with Political and Race/Region. It is over 10% of the speechs. And the Obscenity, Insult, Job hate were around 6% of the speechs.
Age-Gender Group : 4050s Male
The distribution in hate type of 4050s Male
was simmilar as 3040s Male group. Political and Race/Region with Job Hate were most. Other types of hate showed a distribution of about 2%.
Age-Gender Group : 2030s Female
The distribution of 2030s Female
was simmilar as 2030s male, but not for age hate and gender hate. Obscenity, Insult, and Race/Region were most with around 6% of speechs, but the others are around 3% of speechs.
Age-Gender Group : 3040s Female
3040s Female
was showns a group with the least hate speech. Just Obscenity was around 5% of speechs, but the others are around 2% of speechs.
Age-Gender Group : 4050s Female
4050s Female
was simmilar as 4050s male. It can be seen that the distribution or pattern is very similar. Political and Race/Region with Job Hate were most. Other types of hate showed a distribution of about 2%.
Conclusion
-
2030s Male
is a group with the most numerous hate speech. -
Gender Hate, Age Hate, Obscenity, Insult, Violence were higher in the
Younger Group
-
Religion Hate, Job Hate, were higher in the
Older Group
. - Obscenity, Insult, Political, Race/Region, Job were main type of hate Age and Religion were few type of hate.
-
Insult and Obscenity. It was confirmed as the
Younger the Group
, theMore Different
distribution in type of hate according to gender.