Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Reagle, Joseph"'
Generative AI has begun to alter how we work, learn, communicate, and participate in online communities. How might our online communities be changed by generative AI? To start addressing this question, we focused on online community moderators' exper
Externí odkaz:
http://arxiv.org/abs/2311.12702
Autor:
Agarwal, Anmol, Gupta, Shrey, Bonagiri, Vamshi, Gaur, Manas, Reagle, Joseph, Kumaraguru, Ponnurangam
Publikováno v:
45th European Conference on Information Retrieval, ECIR 2023
Information Disguise (ID), a part of computational ethics in Natural Language Processing (NLP), is concerned with best practices of textual paraphrasing to prevent the non-consensual use of authors' posts on the Internet. Research on ID becomes impor
Externí odkaz:
http://arxiv.org/abs/2311.05018
Autor:
Reagle, Joseph M., Jr.
Thesis (Ph. D.)--New York University, School of Education, 2008.
Typescript. Includes bibliographical references (leaves 225-273). Also available in electronic format on the World Wide Web. Access restricted to users affiliated with the licensed
Typescript. Includes bibliographical references (leaves 225-273). Also available in electronic format on the World Wide Web. Access restricted to users affiliated with the licensed
Externí odkaz:
http://www.lib.umi.com/dissertations/gateway
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
Includes bibliographical references (p. 106-113).
by Joseph M. Reagle, Jr.
M.S.
Includes bibliographical references (p. 106-113).
by Joseph M. Reagle, Jr.
M.S.
Externí odkaz:
http://hdl.handle.net/1721.1/11016
People are concerned about privacy, particularly on the Internet. While many studies have provided evidence of this concern, few have explored the nature of the concern in detail, especially for the online environment. With this study, we have tried
Externí odkaz:
http://arxiv.org/abs/cs/9904010
Autor:
Reagle, Joseph
Publikováno v:
First Monday; Volume 28, Number 6-5 June 2023
Concerned researchers of user-generated content might want to avoid using, citing, or quoting sensitive content likely to be deleted by their authors, even when pseudonymous or using one-time “throwaway” accounts. At Reddit, how many authors actu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn13960466::ab6cbc4856f4fe0b50d22e2c1430b736
https://firstmonday.org/ojs/index.php/fm/article/view/13193
https://firstmonday.org/ojs/index.php/fm/article/view/13193
Akademický článek
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Autor:
Reagle, Joseph, Gaur, Manas
Publikováno v:
First Monday; Volume 27, Number 1-3 January 2022
Ethical researchers who want to quote public user-generated content without further exposing these sources have little guidance as to how to disguise quotes. Reagle (2021b) showed that researchers’ attempts to disguise phrases on Reddit are often h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1d8a25c06eb6a6bb1d7d475224ecffb
https://firstmonday.org/ojs/index.php/fm/article/view/12350
https://firstmonday.org/ojs/index.php/fm/article/view/12350