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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Digitalism and Artificial Intelligence: Fostering the Preservation and Progress of Bhumij Language

Authors: Sardar, Vinita; Sahoo, Ranju Hasini;

Digitalism and Artificial Intelligence: Fostering the Preservation and Progress of Bhumij Language

Abstract

The present study explores the intersection of media, digitalism, and artificial intelligence (AI) in the context of the Bhumij tribal language (Ol-Onal). In today's digital era, the integration of AI technologies in media platforms has transformed the way information is accessed, shared, and consumed. However, the impact of these advancements on indigenous languages remains largely unexplored. This research aims to investigate the role of digitalism and AI in preserving, promoting, and revitalizing the Bhumij tribal language. By examining the current state of digital media platforms, the study analyzes the challenges and opportunities for integrating Bhumij language content. It explores the potential of AI-driven language technologies, such as machine translation and voice recognition, in enabling better access to Bhumij language resources it’s preservation. Additionally, the study investigates the ethical considerations surrounding AI and digitalism in the context of indigenous languages, addressing issues of representation, cultural sensitivity, and community engagement. Through this research, insights into the possibilities of leveraging digital media and AI for the benefit of the Bhumij tribal language can be gained. The findings contribute to the broader discourse on the intersection of media, digital technologies, and indigenous languages, with implications for language preservation and cultural diversity in the digital age.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green