Scientific research and big data

64 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face (2023, background): “In this sense, Beaulieu and Leonelli [4] deem it important to differentiate between the availability of data and its suitability, especially in light of the misconception that Web data is representative of all human experiences and immune to the everwidening digital divide [18].”
BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model (2022, background): “This absence of data relating to certain socioeconomic, socio-cultural, and geographic groups inherently limit the comprehensiveness of any data resource (Leonelli, 2020) and renders any artifact that builds on such data—such as language models—into a tool that reinforces and potentially amplifies t”