The Classification of Aggressive Dialogue in Social Media Platforms

被引:4
|
作者
Langham, Jaida [1 ]
Gosha, Kinnis [2 ]
机构
[1] Spelman Coll, Dept Comp & Informat Sci, Atlanta, GA 30314 USA
[2] Morehouse Coll, Dept Comp Sci, Atlanta, GA USA
关键词
Aggressive behavior; anger; hate; offensive language; social media; violence; hate speech;
D O I
10.1145/3209626.3209720
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The significance of aggression for the understanding of human behavior cannot be over amplified. It associates the individual, behavior, habits, environment, and health (mental). Understanding specificity when it comes to types of aggression and aggressive behavior can help with implementing appropriate countermeasures to those who demonstrate aggressive behavior within their speech and behavior on social media platforms. Through a research synthesis utilizing different search engines to find work on hate speech detection, hate, anger, aggressive behavior in social media, and the consequences associated with these terms, it can be concluded that previous work on hate speech detection have developed methods that ignore the variety in speech, possible other categories of hate speech, the correlation of speech to human behavior, and demonstrate minimal to no empathy toward the users from which this data was extracted from. Categorizations of hate speech currently only include hate and offensive language. Another category that should be added is anger. Future studies should specify their searches to including aggressive behavior since it is the connection when analyzing human behavior and hate speech.
引用
收藏
页码:60 / 63
页数:4
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