Language (technology) is power: A critical survey of" bias" in nlp

SL Blodgett, S Barocas, H Daumé III… - arXiv preprint arXiv …, 2020 - arxiv.org
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 …

Hate speech detection using natural language processing: Applications and challenges

AS Parihar, S Thapa, S Mishra - 2021 5th International …, 2021 - ieeexplore.ieee.org
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 …

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 …

Ceasing hate with moh: Hate speech detection in hindi–english code-switched language

A Sharma, A Kabra, M Jain - Information Processing & Management, 2022 - Elsevier
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 …

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 …

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 …

Hate speech recognition in multilingual text: hinglish documents

AK Yadav, M Kumar, A Kumar, Shivani, Kusum… - International Journal of …, 2023 - Springer
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 …

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 …

Fighting hate speech from bilingual hinglish speaker's perspective, a transformer-and translation-based approach.

S Biradar, S Saumya, A Chauhan - Social Network Analysis and Mining, 2022 - Springer
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 …

Automatic identification of harmful, aggressive, abusive, and offensive language on the web: A survey of technical biases informed by psychology literature

A Balayn, J Yang, Z Szlavik, A Bozzon - ACM Transactions on Social …, 2021 - dl.acm.org
The automatic detection of conflictual languages (harmful, aggressive, abusive, and
offensive languages) is essential to provide a healthy conversation environment on the Web …