Confronting abusive language online: A survey from the ethical and human rights perspective
The pervasiveness of abusive content on the internet can lead to severe psychological and
physical harm. Significant effort in Natural Language Processing (NLP) research has been …
physical harm. Significant effort in Natural Language Processing (NLP) research has been …
Surfacing racial stereotypes through identity portrayal
Content warning: this paper discusses and contains content that may be offensive or
upsetting. People express racial stereotypes through conversations with others, increasingly …
upsetting. People express racial stereotypes through conversations with others, increasingly …
Is Carla grumpy? Analysis of peer evaluations to explore microaggressions and other marginalizing behaviors in engineering student teams
Background Teamwork has become a central element of engineering education. However,
the race‐and gender‐based marginalization prevalent in society is also prevalent in …
the race‐and gender‐based marginalization prevalent in society is also prevalent in …
Lung cancer classification using convolutional neural network and DenseNet
Lung cancer is a condition that has a major impact on public health. Convolutional Neural
Network (CNN) and DenseNet approaches are suggested in this study to aid lung cancer …
Network (CNN) and DenseNet approaches are suggested in this study to aid lung cancer …
Abusive words Detection in Persian tweets using machine learning and deep learning techniques
M Dehghani, DT Dehkordy… - 2021 7th International …, 2021 - ieeexplore.ieee.org
Regarding the development of the web and increasing user interaction, different users'
opinions about different phenomena have been observed. In recent years, the detection of …
opinions about different phenomena have been observed. In recent years, the detection of …
Linguistic and vocal markers of microbehaviors between team members during analog space exploration missions
We used machine learning classifiers and dialog state tracking models, combined with
natural language processing techniques relying on lexicon-based methods and data-driven …
natural language processing techniques relying on lexicon-based methods and data-driven …
Leveraging bias in pre-trained word embeddings for unsupervised microaggression detection
Microaggressions are subtle manifestations of bias (Breitfeller et al., 2019). These
demonstrations of bias can often be classified as a subset of abusive language. However …
demonstrations of bias can often be classified as a subset of abusive language. However …
Beyond Justice: Artificial Intelligence and the Value of Community
J Viehoff - 2022 - academic.oup.com
Most discussions in the field of artificial intelligence (AI) ethics concern the avoidance of
individual wrongs like discrimination, the violation of privacy, or algorithmic unfairness …
individual wrongs like discrimination, the violation of privacy, or algorithmic unfairness …
[HTML][HTML] Perspective Chapter: Emotion Detection Using Speech Analysis and Deep Learning
AI Iliev - … Recognition-Recent Advances, New Perspectives and …, 2023 - intechopen.com
Speech reflects the sentiment and emotions of humans. People can identify the emotional
states in speech utterances, but there is a higher chance of perception error, which is …
states in speech utterances, but there is a higher chance of perception error, which is …
Towards Identification of Microaggressions in real-life and Scripted conversations, using Context-Aware Machine Learning Techniques.
MK Ngueajio, I Hernandez, K Cornett, G Washington - 2023 - openreview.net
The advent and rapid proliferation of social media have brought with it an exponential
growth in hate speech and overt offensive language, with one of the most subtle yet …
growth in hate speech and overt offensive language, with one of the most subtle yet …