Essays about: "Toxic comments"

Showing result 1 - 5 of 6 essays containing the words Toxic comments.

1. 1. Analyzing Toxicity in YouTube Comments with the Help of Machine Learning

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

   Author : Sasan Dehkhoda; Jasmyn Ali Gunica; [2023]
   Keywords : Toxic comments; YouTube; Machine Learning; Natural Language Processing;

   Abstract : Toxic comments are overall likely to make someone feel uncomfortable and leave a discussion and are therefore potentially problematic. Toxic comments occur online on various social media, and depending on the site, get detected manually or via machine learning algorithms (or both), and removed depending on the severity and other factors. 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. "You're completely brainwashed" : A qualitative study on toxic masculinity as expressed by a 'men's rights' influencers fanbase

   University essay from Umeå universitet/Sociologiska institutionen

   Author : Ellie Leandersson; [2023]
   Keywords : oxic masculinity; parasocial relationships; influencers; Reddit; the Red Pill; the Manosphere;

   Abstract : In this thesis I will use a ‘men’s rights’ influencers fanbase as an example of a new generation of people who values toxic and traditional masculinity. I will do so by doing a critical discourse analysis on 1200 comments from the platform Reddit, using Fairclough's three-dimensional model as inspiration. READ MORE

5. 4. Multi-Label Toxic Comment Classification Using Machine Learning: An In-Depth Study

   University essay from Lunds universitet/Institutionen för datavetenskap

   Author : Matilda Froste; Mosa Hosseini; [2023]
   Keywords : natural language processing; machine learning; offensive speech detection; transformers; multi-label classification; Technology and Engineering;

   Abstract : The classification of toxic comments is a well-researched area with many techniques available. However, effectively managing multi-label categorization still requires a considerable amount of work. READ MORE

6. 5. Defect intention : the specific challenges faced by women in open source that may predict (or influence) their intention to leave an open source software project/community

   University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Author : Ivanna Altena; Georgi A. Markov; [2022]
   Keywords : Diversity; Equity; and Inclusion; Open source; Open source software; Women in Open Source; Defect intention; Intention to leave; Multiple regression.;

   Abstract : Background Open source is largely accepted as an important innovation driver in the technology industry. Even though inclusion and diversity is beneficial for the success of technology projects (including open source software projects), many statistics are pointing out that diversity in open source is even worse than in the technology sector in general. READ MORE