PARTNERS IN PUBLISHING.
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| Title: | PARTNERS IN PUBLISHING. |
|---|---|
| Authors: | NAWOTKA, ED (AUTHOR), MILLIOT, JIM (AUTHOR) |
| Source: | Publishers Weekly. 6/9/2025, Vol. 272 Issue 23, p26-29. 3p. |
| Subject Terms: | *Copyright infringement, Language models, Publishing, Export demand, American authors |
| Abstract: | The article focuses on the deepening and increasingly integrated book trade between the U.K. and the U.S., highlighting the symbiotic relationship between authors, publishers, and industry professionals across both markets. It notes significant economic activity, with U.S. exports of U.K. publishing growing rapidly, representing 27% of U.K. publishing exports valued at £423 million in 2022. However, challenges such as potential tariffs from the U.S. and distribution issues within the U.K. pose risks to this partnership. The article also discusses the U.K. publishing industry's response to the evolving landscape of artificial intelligence and copyright laws, emphasizing the need for ethical safeguards while navigating growth opportunities. [Extracted from the article] |
| Copyright of Publishers Weekly is the property of PWxyz LLC and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 185824458 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: PARTNERS IN PUBLISHING. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22NAWOTKA%2C+ED%22">NAWOTKA, ED</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22MILLIOT%2C+JIM%22">MILLIOT, JIM</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Publishers+Weekly%22">Publishers Weekly</searchLink>. 6/9/2025, Vol. 272 Issue 23, p26-29. 3p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Copyright+infringement%22">Copyright infringement</searchLink><br /><searchLink fieldCode="DE" term="%22Language+models%22">Language models</searchLink><br /><searchLink fieldCode="DE" term="%22Publishing%22">Publishing</searchLink><br /><searchLink fieldCode="DE" term="%22Export+demand%22">Export demand</searchLink><br /><searchLink fieldCode="DE" term="%22American+authors%22">American authors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on the deepening and increasingly integrated book trade between the U.K. and the U.S., highlighting the symbiotic relationship between authors, publishers, and industry professionals across both markets. It notes significant economic activity, with U.S. exports of U.K. publishing growing rapidly, representing 27% of U.K. publishing exports valued at £423 million in 2022. However, challenges such as potential tariffs from the U.S. and distribution issues within the U.K. pose risks to this partnership. The article also discusses the U.K. publishing industry's response to the evolving landscape of artificial intelligence and copyright laws, emphasizing the need for ethical safeguards while navigating growth opportunities. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Publishers Weekly is the property of PWxyz LLC and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=185824458 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 26 Subjects: – SubjectFull: Copyright infringement Type: general – SubjectFull: Language models Type: general – SubjectFull: Publishing Type: general – SubjectFull: Export demand Type: general – SubjectFull: American authors Type: general Titles: – TitleFull: PARTNERS IN PUBLISHING. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: NAWOTKA, ED – PersonEntity: Name: NameFull: MILLIOT, JIM IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 06 Text: 6/9/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00000019 Numbering: – Type: volume Value: 272 – Type: issue Value: 23 Titles: – TitleFull: Publishers Weekly Type: main |
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