Digitally forecasting new music product success via active crowdsourcing

Research article (Technological Forecasting and Social Change, 2019) · cited 22× · AI/ML
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Digitally forecasting new music product success via active crowdsourcing

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Digitally forecasting new music product success via active crowdsourcing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Digitally forecasting new music product success via active crowdsourcing. Retrieved May 24, 2026, from https://4ort.xyz/entity/digitally-forecasting-new-music-product-success-via-active-crowdsourcing
MLA “Digitally forecasting new music product success via active crowdsourcing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/digitally-forecasting-new-music-product-success-via-active-crowdsourcing.
BibTeX @misc{4ortxyz_digitally-forecasting-new-music-product-success-via-active-crowdsourcing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Digitally forecasting new music product success via active crowdsourcing}}, year = {2026}, url = {https://4ort.xyz/entity/digitally-forecasting-new-music-product-success-via-active-crowdsourcing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Digitally forecasting new music product success via active crowdsourcing — https://4ort.xyz/entity/digitally-forecasting-new-music-product-success-via-active-crowdsourcing (retrieved 2026-05-24)

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