7 papers
UnWEIRDing Peer Review in Human Computer Interaction
Hellina Hailu Nigatu, Farhana Shahid, Vishal Sharma +3
Peer review determines which scholarship is legitimized; however, review biases often disadvantage scholarship that diverges from the norm. Human-Computer Interaction (HCI) lacks a…
Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens
Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha +5
As low-resourced languages are increasingly incorporated into NLP research, there is an emphasis on collecting large-scale datasets. But in prioritizing quantity over quality, we r…
Into the Void: Understanding Online Health Information in Low-Web Data Languages
Hellina Hailu Nigatu, Nuredin Ali Abdelkadir, Fiker Tewelde +2
Data voids--areas of the internet where reliable information is scarce or absent--pose significant challenges to online health information seeking, particularly for users operating…
A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Script
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Henok Biadglign Ademtew +4
Homophone normalization, where characters that have the same sound in a writing script are mapped to one character, is a pre-processing step applied in Amharic Natural Language Pro…
Exploitation All the Way Down: Calling out the Root Cause of Bad Online Experiences for Users of the "Majority World"
Hellina Hailu Nigatu, Zeerak Talat
Global Majority users are exposed to multitudes of harm when interacting with online platforms. This essay illuminates how exploitation in the advances of Artificial Intelligence i…
A Capabilities Approach to Studying Bias and Harm in Language Technologies
Hellina Hailu Nigatu, Zeerak Talat
Mainstream Natural Language Processing (NLP) research has ignored the majority of the world's languages. In moving from excluding the majority of the world's languages to blindly a…