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pro vyhledávání: '"Tromble, Rebekah"'
Autor:
Kreiss, Daniel, author, McGregor, Shannon C., author, Tromble, Rebekah, author, Costley White, Khadijah, author
Publikováno v:
Media and January 6th, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197758526.003.0023
Autor:
Costley White, Khadijah, author, Kreiss, Daniel, author, McGregor, Shannon C., author, Tromble, Rebekah, author
Publikováno v:
Media and January 6th, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197758526.003.0001
Autor:
Hada, Rishav, Fard, Amir Ebrahimi, Shugars, Sarah, Bianchi, Federico, Rossini, Patricia, Hovy, Dirk, Tromble, Rebekah, Tintarev, Nava
Increasingly taking place in online spaces, modern political conversations are typically perceived to be unproductively affirming -- siloed in so called ``echo chambers'' of exclusively like-minded discussants. Yet, to date we lack sufficient means t
Externí odkaz:
http://arxiv.org/abs/2212.09056
Autor:
Bianchi, Federico, Hills, Stefanie Anja, Rossini, Patricia, Hovy, Dirk, Tromble, Rebekah, Tintarev, Nava
Well-annotated data is a prerequisite for good Natural Language Processing models. Too often, though, annotation decisions are governed by optimizing time or annotator agreement. We make a case for nuanced efforts in an interdisciplinary setting for
Externí odkaz:
http://arxiv.org/abs/2210.15870
Autor:
Vidgen, Bertie, Botelho, Austin, Broniatowski, David, Guest, Ella, Hall, Matthew, Margetts, Helen, Tromble, Rebekah, Waseem, Zeerak, Hale, Scott
The outbreak of COVID-19 has transformed societies across the world as governments tackle the health, economic and social costs of the pandemic. It has also raised concerns about the spread of hateful language and prejudice online, especially hostili
Externí odkaz:
http://arxiv.org/abs/2005.03909
Autor:
Nguyen, Dong, Liakata, Maria, DeDeo, Simon, Eisenstein, Jacob, Mimno, David, Tromble, Rebekah, Winters, Jane
Publikováno v:
Front. Artif. Intell. 3:62 (2020)
In this article we describe our experiences with computational text analysis. We hope to achieve three primary goals. First, we aim to shed light on thorny issues not always at the forefront of discussions about computational text analysis methods. S
Externí odkaz:
http://arxiv.org/abs/1907.01468
Akademický článek
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Akademický článek
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Autor:
Velasco, Carlos, Guess, Andrew, Thorson, Emily, Deen Freelon, Lazer, David, Kim, Young Mie, Wynter, Thomas, Devra Moehler, Tucker, Joshua A., Tromble, Rebekah, De Jonge, Chad Kiewiet, Iyengar, Shanto, Nyhan, Brendan J., Settle, Jaime, Stroud, Talia, Wilkins, Arjun, Pan, Jennifer, Winter Mason, Malhotra, Neil, Persily, Nate, Franco, Annie, Tenorio, Adriana Crespo, Gentzkow, Matthew, Wojcieszak, Magdalena, Gonzalez-Bailon, Sandra, Hunt Allcott, Barbera, Pablo
This is a pre-analysis plan for the Facebook 2020 Election Research Project like-minded information experiment. The results from the study outlined in this PAP will be published in a paper forthcoming in Nature, July 28, 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66196bf834ab64c44eb91b18eb260387
Autor:
Velasco, Carlos, Guess, Andrew, Deen Freelon, Kim, Young Mie, Lazer, David, Wynter, Thomas, Thorson, Emily, Devra Moehler, Tucker, Joshua A., De Jonge, Chad Kiewiet, Tromble, Rebekah, Iyengar, Shanto, Nyhan, Brendan J., Settle, Jaime, Stroud, Talia, Wilkins, Arjun, Pan, Jennifer, Winter Mason, Malhotra, Neil, Persily, Nate, Franco, Annie, Tenorio, Adriana Crespo, Gentzkow, Matthew, Wojcieszak, Magdalena, Gonzalez-Bailon, Sandra, Hunt Allcott, Barbera, Pablo
Pre-analysis plan for the Facebook 2020 Election Research Project. The results from the study outlined in this PAP will be published in a paper forthcoming in Science, July 28, 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2125ecb4f8986444569beafe1459d56d