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Other literature type . 2023
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Presentation . 2023
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Resonating with different frequencies... Thoughts on public humanities through crowdsourcing in a ChatGPT world

Authors: Ridge, Mia;

Resonating with different frequencies... Thoughts on public humanities through crowdsourcing in a ChatGPT world

Abstract

A talk for the CAS 2023 Summer Symposium on Harry Shearer's "Le Show", August 1-3, Penn State University. Opening remarks: Today I wanted to think about the different ways that public humanities work through crowdsourcing still has a place in an AI-obsessed world… what happens if we think about different ways of ‘listening’ to an audio archive like Le Show, by people, by machines, and by people and machines in combination? What visions can we create for a future in which people and machines tune into different frequencies, each doing what they do best?

Keywords

machine learning, AI, audio, crowdsourcing, digital public participation

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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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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    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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citations
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!
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Average
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