Essays about: "hate speech detection"

Showing result 1 - 5 of 12 essays containing the words hate speech detection.

1. 1. IDENTIFYING HATE SPEECH IN SOCIAL MEDIA THROUGH CONTENT AND SOCIAL CONNECTIONS ANALYSIS

   University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Author : Milan Stanišić; [2023-06-19]
   Keywords : hate speech; social media; natural language processing; classification;

   Abstract : Hate speech is a problem which puts its targets at risk of serious harm. It spreads fast and has a real influence on the society because of the ubiquity of the internet and social media, and so various research efforts have been put to find solutions to automatic hate speech detection. READ MORE

3. 2. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Fabio Camerota; [2023]
   Keywords : XLNet; BERT; Toxic Comment Classification; Entropy-based Attention Regularization; XLNet; BERT; Toxisk Kommentar Klassificering; Entropibaserad uppmärksamhetsreglering;

   Abstract : The proliferation of hate speech is a growing challenge for social media platforms, as toxic online comments can have dangerous consequences also in real life. There is a need for tools that can automatically and reliably detect hateful comments, and deep learning models have proven effective in solving this issue. READ MORE

4. 3. Towards End-User Understanding: Exploring Explanations For Profanity Detection

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Noah Öberg; [2023]
   Keywords : ;

   Abstract : Current text classification models can accurately identify instances of specific categories, such as hate speech or bad language, but they often don’t provide clear explanations to the end user for their decisions. This can lead to confusion or mistrust in the results, especially in sensitive applications where the consequences of misclassification can be significant. READ MORE

5. 4. A Hybrid Approach to Hate Speech Detection

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Simon Rickardsson; [2023]
   Keywords : ;

   Abstract : An interesting question is to what extent can background knowledge help in the context of text classification. To address this in more detail, can a traditional rulebased classifier help boost the accuracy of learned models? We explore this here for detecting hate speech and offensive language in online text. READ MORE

6. 5. Can Hatescan Detect Antisemitic Hate Speech

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Olle Nyrén; [2023]
   Keywords : Artificial intelligence; hate speech detection; hate speech; antisemitism;

   Abstract : This thesis focuses on how well Hatescan, a hate speech detector built on the same Natural Language Processing and AI algorithms used in most online hate speech detectors, can detect different categories of antisemitism as well as whether or not it is worse at detecting implicit antisemitism than explicit antisemitism. The ability of hate speech detectors to detect antisemitic hate speech is a pressing issue. READ MORE