Correct Metadata for
Abstract
Most work on scholarly document processing assumes that the information processed is trust-worthy and factually correct. However, this is not always the case. There are two core challenges, which should be addressed: 1) ensuring that scientific publications are credible – e.g. that claims are not made without supporting evidence, and that all relevant supporting evidence is provided; and 2) that scientific findings are not misrepresented, distorted or outright misreported when communicated by journalists or the general public. I will present some first steps towards addressing these problems and outline remaining challenges.- Anthology ID:
- 2021.sdp-1.1
- Volume:
- Proceedings of the Second Workshop on Scholarly Document Processing
- Month:
- June
- Year:
- 2021
- Address:
- Online
- Editors:
- Iz Beltagy, Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Keith Hall, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer, Anita de Waard, Kuansan Wang, Lucy Lu Wang
- Venue:
- sdp
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–6
- Language:
- URL:
- https://aclanthology.org/2021.sdp-1.1/
- DOI:
- 10.18653/v1/2021.sdp-1.1
- Bibkey:
- Cite (ACL):
- Isabelle Augenstein. 2021. Determining the Credibility of Science Communication. In Proceedings of the Second Workshop on Scholarly Document Processing, pages 1–6, Online. Association for Computational Linguistics.
- Cite (Informal):
- Determining the Credibility of Science Communication (Augenstein, sdp 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.sdp-1.1.pdf
Export citation
@inproceedings{augenstein-2021-determining,
title = "Determining the Credibility of Science Communication",
author = "Augenstein, Isabelle",
editor = "Beltagy, Iz and
Cohan, Arman and
Feigenblat, Guy and
Freitag, Dayne and
Ghosal, Tirthankar and
Hall, Keith and
Herrmannova, Drahomira and
Knoth, Petr and
Lo, Kyle and
Mayr, Philipp and
Patton, Robert M. and
Shmueli-Scheuer, Michal and
de Waard, Anita and
Wang, Kuansan and
Wang, Lucy Lu",
booktitle = "Proceedings of the Second Workshop on Scholarly Document Processing",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.sdp-1.1/",
doi = "10.18653/v1/2021.sdp-1.1",
pages = "1--6",
abstract = "Most work on scholarly document processing assumes that the information processed is trust-worthy and factually correct. However, this is not always the case. There are two core challenges, which should be addressed: 1) ensuring that scientific publications are credible {--} e.g. that claims are not made without supporting evidence, and that all relevant supporting evidence is provided; and 2) that scientific findings are not misrepresented, distorted or outright misreported when communicated by journalists or the general public. I will present some first steps towards addressing these problems and outline remaining challenges."
}
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<abstract>Most work on scholarly document processing assumes that the information processed is trust-worthy and factually correct. However, this is not always the case. There are two core challenges, which should be addressed: 1) ensuring that scientific publications are credible – e.g. that claims are not made without supporting evidence, and that all relevant supporting evidence is provided; and 2) that scientific findings are not misrepresented, distorted or outright misreported when communicated by journalists or the general public. I will present some first steps towards addressing these problems and outline remaining challenges.</abstract>
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%0 Conference Proceedings %T Determining the Credibility of Science Communication %A Augenstein, Isabelle %Y Beltagy, Iz %Y Cohan, Arman %Y Feigenblat, Guy %Y Freitag, Dayne %Y Ghosal, Tirthankar %Y Hall, Keith %Y Herrmannova, Drahomira %Y Knoth, Petr %Y Lo, Kyle %Y Mayr, Philipp %Y Patton, Robert M. %Y Shmueli-Scheuer, Michal %Y de Waard, Anita %Y Wang, Kuansan %Y Wang, Lucy Lu %S Proceedings of the Second Workshop on Scholarly Document Processing %D 2021 %8 June %I Association for Computational Linguistics %C Online %F augenstein-2021-determining %X Most work on scholarly document processing assumes that the information processed is trust-worthy and factually correct. However, this is not always the case. There are two core challenges, which should be addressed: 1) ensuring that scientific publications are credible – e.g. that claims are not made without supporting evidence, and that all relevant supporting evidence is provided; and 2) that scientific findings are not misrepresented, distorted or outright misreported when communicated by journalists or the general public. I will present some first steps towards addressing these problems and outline remaining challenges. %R 10.18653/v1/2021.sdp-1.1 %U https://aclanthology.org/2021.sdp-1.1/ %U https://doi.org/10.18653/v1/2021.sdp-1.1 %P 1-6
Markdown (Informal)
[Determining the Credibility of Science Communication](https://aclanthology.org/2021.sdp-1.1/) (Augenstein, sdp 2021)
- Determining the Credibility of Science Communication (Augenstein, sdp 2021)
ACL
- Isabelle Augenstein. 2021. Determining the Credibility of Science Communication. In Proceedings of the Second Workshop on Scholarly Document Processing, pages 1–6, Online. Association for Computational Linguistics.