Revealing the Demographic Attributes of the Authors from the Abstracts of Scientific Articles
This study presents multiple strategies to automatically reveal undisclosed demographic attributes of the authors in the double-blind submissions. From a limited amount of textual content of around 100-200 words excerpted from an abstract, this study aims to reveal the following pieces of information, i) the English language nativeness of the primary author, ii) the country of origin of the primary author, and iii) the gender of the primary author. We introduce an annotated dataset of over 5600 - doi
- 10.1145/3511095.3536358
- name
- Revealing the Demographic Attributes of the Authors from the Abstracts of Scientific Articles
- source
- acm-html
- license
- © 2022 Copyright held by the owner/author(s).
- summary
- This study presents multiple strategies to automatically reveal undisclosed demographic attributes of the authors in the double-blind submissions. From a limited amount of textual content of around 100-200 words excerpted from an abstract, this study aims to reveal the following pieces of information, i) the English language nativeness of the primary author, ii) the country of origin of the primary author, and iii) the gender of the primary author. We introduce an annotated dataset of over 5600
- import_kind
- full_text
- open_access
- false
- displayAuthor
- Salim Sazzed
- displayPublishTime
- 2022-06-28
- source_attribution
- ACM Hypertext 2022 proceedings HTML; complete text imported under ACM confirmed authorization. The terminal Visual-Meta appendix in the companion PDF is publisher metadata and excluded from the scholarly article body.
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