- Source
- FUDMA Journal of Sciences
- Published
- 10 Sep 2026
- Authors
- R. Osaseri, Agharase Rosemary Usiobaifo, Kaizer John Onyekachukwu
Excerpt from source
The increasing dependence of Natural Language Processing (NLP) systems on large-scale textual datasets has intensified the use of automated data collection methods such as web scraping, crawling, and autonomous extraction pipelines. While these approaches improve scalability and support the development of Large Language Models (LLMs), they also raise important ethical concerns, particularly in indigenous and low-resource language contexts. Existing data collection systems primarily prioritize data availability and technical efficiency, often overlooking issues related to privacy, cultural sensitivity, consent, and community-centered governance. Consequently, automated pipelines may collect…
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