Search Results for author:
Found 9 papers, 1 papers with code
Detection of Offensive and Threatening Online Content in a Low Resource Language
This study aimed to address this issue by (1) conducting two user studies (n=308) to investigate cyberbullying-related issues, (2) collecting and annotating the first set of offensive and threatening datasets to support relevant downstream tasks in Hausa, (3) developing a detection system to flag offensive and threatening content, and (4) evaluating the detection system and the efficacy of the Google-based translation engine in detecting offensive and threatening terms in Hausa.
FATE in AI: Towards Algorithmic Inclusivity and Accessibility
This study aims to address this gap by examining FATE-related desiderata, particularly transparency and ethics, in areas of the global South that are underserved by AI.
Self-harm: detection and support on Twitter
Since the advent of online social media platforms such as Twitter and Facebook, useful health-related studies have been conducted using the information posted by online participants.
The first large scale collection of diverse Hausa language datasets
Hausa language belongs to the Afroasiatic phylum, and with more first-language speakers than any other sub-Saharan African language.
A multilevel clustering technique for community detection
Community detection is crucial for various reasons, such as serving as a functional unit of a network that captures local interactions among nodes.
Towards Combating Pandemic-related Misinformation in Social Media
Conventional preventive measures during pandemic include social distancing and lockdown.
Migration and Refugee Crisis: a Critical Analysis of Online Public Perception
The migration rate and the level of resentments towards migrants are an important issue in modern civilisation.
Social and Information Networks Computers and Society
A curated collection of COVID-19 online datasets
A case in point is the various myths and disinformation associated with the Covid-19, which, if left unchecked, could lead to a catastrophic outcome and hamper the fight against the virus.
Introduction to intelligent computing unit 1
This brief note highlights some basic concepts required toward understanding the evolution of machine learning and deep learning models.
