Language (technology) is power: A critical survey of" bias" in nlp
We survey 146 papers analyzing" bias" in NLP systems, finding that their motivations are
often vague, inconsistent, and lacking in normative reasoning, despite the fact that …
often vague, inconsistent, and lacking in normative reasoning, despite the fact that …
Hate speech detection using natural language processing: Applications and challenges
The internet has become a common platform for everyone to share their ideas and opinions.
The user has freedom to post whatever he/she likes in social networking and blogging sites …
The user has freedom to post whatever he/she likes in social networking and blogging sites …
Survey on profiling age and gender of text authors
Y HaCohen-Kerner - Expert Systems with Applications, 2022 - Elsevier
Author profiling from text documents has become a popular task in latest years, in natural
language applications. Author profiling is important for various domains such as advertising …
language applications. Author profiling is important for various domains such as advertising …
Ceasing hate with moh: Hate speech detection in hindi–english code-switched language
Warning: This manuscript may contain upsetting language. Social media has become a
bedrock for people to voice their opinions worldwide. Due to the greater sense of freedom …
bedrock for people to voice their opinions worldwide. Due to the greater sense of freedom …
User-aware multilingual abusive content detection in social media
MZU Rehman, S Mehta, K Singh, K Kaushik… - Information Processing & …, 2023 - Elsevier
Despite growing efforts to halt distasteful content on social media, multilingualism has added
a new dimension to this problem. The scarcity of resources makes the challenge even …
a new dimension to this problem. The scarcity of resources makes the challenge even …
Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19
S Agarwal, CR Chowdary - Expert Systems with Applications, 2021 - Elsevier
Social media platforms generate an enormous amount of data every day. Millions of users
engage themselves with the posts circulated on these platforms. Despite the social …
engage themselves with the posts circulated on these platforms. Despite the social …
Hate speech recognition in multilingual text: hinglish documents
The Internet is a boon for mankind but its misuse has been increasing drastically. Social
networking platforms such as Facebook, Twitter and Instagram play a predominant role in …
networking platforms such as Facebook, Twitter and Instagram play a predominant role in …
Social media text analytics of Malayalam–English code-mixed using deep learning
S Thara, P Poornachandran - Journal of big Data, 2022 - Springer
Zigzag conversational patterns of contents in social media are often perceived as noisy or
informal text. Unrestricted usage of vocabulary in social media communications complicates …
informal text. Unrestricted usage of vocabulary in social media communications complicates …
Fighting hate speech from bilingual hinglish speaker's perspective, a transformer-and translation-based approach.
Many people have begun to use social media platforms due to the increased use of the
Internet over the previous decade. It has a lot of benefits, but it also comes with a lot of risks …
Internet over the previous decade. It has a lot of benefits, but it also comes with a lot of risks …
Automatic identification of harmful, aggressive, abusive, and offensive language on the web: A survey of technical biases informed by psychology literature
The automatic detection of conflictual languages (harmful, aggressive, abusive, and
offensive languages) is essential to provide a healthy conversation environment on the Web …
offensive languages) is essential to provide a healthy conversation environment on the Web …