Essays about: "Toxic comments"
Showing result 1 - 5 of 6 essays containing the words Toxic comments.
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1. Analyzing Toxicity in YouTube Comments with the Help of Machine Learning
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : 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
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2. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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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 institutionenAbstract : 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
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4. Multi-Label Toxic Comment Classification Using Machine Learning: An In-Depth Study
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : 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
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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 ekonomiAbstract : 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