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Can Licensing Mitigate the Negative Implications of Commercial Web Scraping?

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Can Licensing Mitigate the Negative Implications of Commercial Web Scraping? / Li, Hanlin; Vincent, Nicholas; Jernite, Yacine et al.
CSCW 2023 Companion - Conference Companion Publication of the 2023 Computer Supported Cooperative Work and Social Computing. ed. / Morgan Ames; Susan Fussell; Eric Gilbert; Vera Liao; Xiaojuan Ma; Xinru Page; Mark Rouncefield; Vivek Singh; Pamela Wisniewski. New York: ACM, 2023. p. 553-555 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Li, H, Vincent, N, Jernite, Y, Merrill, N, Benjamin, JJ & Tarkowski, A 2023, Can Licensing Mitigate the Negative Implications of Commercial Web Scraping? in M Ames, S Fussell, E Gilbert, V Liao, X Ma, X Page, M Rouncefield, V Singh & P Wisniewski (eds), CSCW 2023 Companion - Conference Companion Publication of the 2023 Computer Supported Cooperative Work and Social Computing. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, ACM, New York, pp. 553-555. https://doi.org/10.1145/3584931.3611276

APA

Li, H., Vincent, N., Jernite, Y., Merrill, N., Benjamin, J. J., & Tarkowski, A. (2023). Can Licensing Mitigate the Negative Implications of Commercial Web Scraping? In M. Ames, S. Fussell, E. Gilbert, V. Liao, X. Ma, X. Page, M. Rouncefield, V. Singh, & P. Wisniewski (Eds.), CSCW 2023 Companion - Conference Companion Publication of the 2023 Computer Supported Cooperative Work and Social Computing (pp. 553-555). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). ACM. https://doi.org/10.1145/3584931.3611276

Vancouver

Li H, Vincent N, Jernite Y, Merrill N, Benjamin JJ, Tarkowski A. Can Licensing Mitigate the Negative Implications of Commercial Web Scraping? In Ames M, Fussell S, Gilbert E, Liao V, Ma X, Page X, Rouncefield M, Singh V, Wisniewski P, editors, CSCW 2023 Companion - Conference Companion Publication of the 2023 Computer Supported Cooperative Work and Social Computing. New York: ACM. 2023. p. 553-555. (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). doi: 10.1145/3584931.3611276

Author

Li, Hanlin ; Vincent, Nicholas ; Jernite, Yacine et al. / Can Licensing Mitigate the Negative Implications of Commercial Web Scraping?. CSCW 2023 Companion - Conference Companion Publication of the 2023 Computer Supported Cooperative Work and Social Computing. editor / Morgan Ames ; Susan Fussell ; Eric Gilbert ; Vera Liao ; Xiaojuan Ma ; Xinru Page ; Mark Rouncefield ; Vivek Singh ; Pamela Wisniewski. New York : ACM, 2023. pp. 553-555 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW).

Bibtex

@inproceedings{393616fdc4614dd9a4d55ac2a4953c2a,
title = "Can Licensing Mitigate the Negative Implications of Commercial Web Scraping?",
abstract = "The rise of prominent AI models such as ChatGPT and Stable Diffusion has brought the scale of commercial web scraping to the forefront attention of content creators and researchers. Billions of webpages and images are used to train these models without content creators{\textquoteright} knowledge, sparking extensive criticism and even lawsuits against AI firms. Amidst such debates, licensing is proposed by researchers and legal experts to be a potential approach to mitigate content creators{\textquoteright} concerns and promote more responsible data reuse. However, it remains unclear what specific licensing terms will be effective to mitigate content creators{\textquoteright} concerns and what sociotechnical environments are necessary to facilitate the use of licensing at scale. This workshop will provide a venue for researchers, content creators, and legal experts to answer these questions.",
author = "Hanlin Li and Nicholas Vincent and Yacine Jernite and Nick Merrill and Benjamin, {Jesse Josua} and Alek Tarkowski",
year = "2023",
month = oct,
day = "14",
doi = "10.1145/3584931.3611276",
language = "English",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "ACM",
pages = "553--555",
editor = "Morgan Ames and Susan Fussell and Eric Gilbert and Vera Liao and Xiaojuan Ma and Xinru Page and Mark Rouncefield and Vivek Singh and Pamela Wisniewski",
booktitle = "CSCW 2023 Companion - Conference Companion Publication of the 2023 Computer Supported Cooperative Work and Social Computing",

}

RIS

TY - GEN

T1 - Can Licensing Mitigate the Negative Implications of Commercial Web Scraping?

AU - Li, Hanlin

AU - Vincent, Nicholas

AU - Jernite, Yacine

AU - Merrill, Nick

AU - Benjamin, Jesse Josua

AU - Tarkowski, Alek

PY - 2023/10/14

Y1 - 2023/10/14

N2 - The rise of prominent AI models such as ChatGPT and Stable Diffusion has brought the scale of commercial web scraping to the forefront attention of content creators and researchers. Billions of webpages and images are used to train these models without content creators’ knowledge, sparking extensive criticism and even lawsuits against AI firms. Amidst such debates, licensing is proposed by researchers and legal experts to be a potential approach to mitigate content creators’ concerns and promote more responsible data reuse. However, it remains unclear what specific licensing terms will be effective to mitigate content creators’ concerns and what sociotechnical environments are necessary to facilitate the use of licensing at scale. This workshop will provide a venue for researchers, content creators, and legal experts to answer these questions.

AB - The rise of prominent AI models such as ChatGPT and Stable Diffusion has brought the scale of commercial web scraping to the forefront attention of content creators and researchers. Billions of webpages and images are used to train these models without content creators’ knowledge, sparking extensive criticism and even lawsuits against AI firms. Amidst such debates, licensing is proposed by researchers and legal experts to be a potential approach to mitigate content creators’ concerns and promote more responsible data reuse. However, it remains unclear what specific licensing terms will be effective to mitigate content creators’ concerns and what sociotechnical environments are necessary to facilitate the use of licensing at scale. This workshop will provide a venue for researchers, content creators, and legal experts to answer these questions.

U2 - 10.1145/3584931.3611276

DO - 10.1145/3584931.3611276

M3 - Conference contribution/Paper

T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

SP - 553

EP - 555

BT - CSCW 2023 Companion - Conference Companion Publication of the 2023 Computer Supported Cooperative Work and Social Computing

A2 - Ames, Morgan

A2 - Fussell, Susan

A2 - Gilbert, Eric

A2 - Liao, Vera

A2 - Ma, Xiaojuan

A2 - Page, Xinru

A2 - Rouncefield, Mark

A2 - Singh, Vivek

A2 - Wisniewski, Pamela

PB - ACM

CY - New York

ER -