Essays about: "hate"

Showing result 1 - 5 of 116 essays containing the word hate.

  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. STEREOTYPICAL OR NON-STEREOTYPICAL? : WHICH HATE CRIMES ARE EASIER TO CATEGORIZE?

    University essay from Malmö universitet/Fakulteten för hälsa och samhälle (HS)

    Author : Maria Blem; Stephanie Kruuse av Verchou; [2023]
    Keywords : Expressions of hate motive; hate crimes; majority-on-minority cases; minority-on-minority cases; police reports; stereotyping; Hatbrott; majoritet-på-minoritet fall; minoritet-på-minoritet fall; stereotyper; uttryck av hatmotiv;

    Abstract : Hate crime is an umbrella concept where the motive is to violate an individual or group based on their ethnicity, skin color, religious beliefs, sexual orientation, or gender identity or expression. This study examined police reports from the year 2018, marked as hate crimes. READ MORE

  4. 3. 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

  5. 4. 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

  6. 5. Biases in AI: An Experiment : Algorithmic Fairness in the World of Hateful Language Detection

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

    Author : Anna Stozek; [2023]
    Keywords : machine learning; algorithmic fairness; unintended bias; sentiment analysis; automated hate detection; maskininlärning; algoritmisk rättvisa; oavsiktlig bias; sentimentanalys; automatisk hatdetektion;

    Abstract : Hateful language is a growing problem in digital spaces. Human moderators are not enough to eliminate the problem. Automated hateful language detection systems are used to aid the human moderators. One of the issues with the systems is that their performance can differ depending on who is the target of a hateful text. READ MORE