Apply the model and Analyze the Results

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, the More Different distribution in type of hate according to gender.