Advanced search

Showing result 1 - 5 of 18 essays matching the above criteria.

1. 1. 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

3. 2. 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

4. 3. 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

5. 4. Exploring toxic lexicon similarity methods with the DRG framework on the toxic style transfer task

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

   Author : Martin Iglesias; [2023]
   Keywords : Detoxifcation; Text style transfer; Deep learning; Transformers; Linguistics; Natural Language Processing; Hate speech; Text style-conditional generation; Large language model; Avgiftning; Överföring av textstil; Djupinlärning; Transformatorer; Lingvistik; Naturlig språkbehandling; Hatprat; Textstil - villkorlig generering; Stor språkmodell;

   Abstract : The topic of this thesis is the detoxification of language in social networks with a particular focus on style transfer techniques that combine deep learning and linguistic resources. In today’s digital landscape, social networks are rife with communication that can often be toxic, either intentionally or unintentionally. READ MORE

6. 5. BASED, REDPILLED, AND FPBP. Examining identification through discursive/affective practices on 4chan/pol/

   University essay from Göteborgs universitet/Institutionen för kulturvetenskaper

   Author : Henrik Bergius; [2022-02-08]
   Keywords : Affect; Discourse; 4chan; Fascism; Radicalization; Disciplining; Online political space;

   Abstract : In a political landscape increasingly more influenced by far-right populism, the potential for political projects aiming to expand democracy is challenged. With the internet becoming an important arena for political discussion, this begs the question of how online spaces function as politically radicalizing. READ MORE