Dallas Card

4.6k total citations · 2 hit papers
24 papers, 1.1k citations indexed

About

Dallas Card is a scholar working on Artificial Intelligence, General Social Sciences and Communication. According to data from OpenAlex, Dallas Card has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in General Social Sciences and 8 papers in Communication. Recurrent topics in Dallas Card's work include Computational and Text Analysis Methods (10 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (7 papers). Dallas Card is often cited by papers focused on Computational and Text Analysis Methods (10 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (7 papers). Dallas Card collaborates with scholars based in United States, Ireland and Canada. Dallas Card's co-authors include Noah A. Smith, Yejin Choi, Maarten Sap, Saadia Gabriel, Amber E. Boydstun, Justin H. Gross, Noah A. Smith, Philip Resnik, Suchin Gururangan and Pratyusha Kalluri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Political Communication.

In The Last Decade

Dallas Card

23 papers receiving 993 citations

Hit Papers

The Risk of Racial Bias in Hate Speech Detection 2019 2026 2021 2023 2019 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Risk of Racial Bias in Hate Speech Detection
    2019 417 citations Maarten Sap, Dallas Card et al. profile →
  2. The Values Encoded in Machine Learning Research
    2022 143 citations Abeba Birhane, Pratyusha Kalluri et al. profile →

Peers

Dallas Card
Vinodkumar Prabhakaran United States
Yulia Tsvetkov United States
Debora Nozza Italy
Nithum Thain United States
Tolga Bolukbasi United States
Maël Kubli Switzerland
Kristen Vaccaro United States
Bertie Vidgen United Kingdom
María D. Molina United States
Shomir Wilson United States
Vinodkumar Prabhakaran United States
Dallas Card
Citations per year, relative to Dallas Card Dallas Card (= 1×) peers Vinodkumar Prabhakaran

Countries citing papers authored by Dallas Card

Since Specialization
Citations

This map shows the geographic impact of Dallas Card's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dallas Card with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dallas Card more than expected).

Fields of papers citing papers by Dallas Card

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dallas Card. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dallas Card. The network helps show where Dallas Card may publish in the future.

Co-authorship network of co-authors of Dallas Card

This figure shows the co-authorship network connecting the top 25 collaborators of Dallas Card. A scholar is included among the top collaborators of Dallas Card based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dallas Card. Dallas Card is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Michelle, et al.. (2025). Semantic change in adults is not primarily a generational phenomenon. Proceedings of the National Academy of Sciences. 122(31). e2426815122–e2426815122. 1 indexed citations
2.
Card, Dallas, et al.. (2024). Framing Social Movements on Social Media. SHILAP Revista de lepidopterología. 4. 2 indexed citations
3.
4.
Pasquetto, Irene V., et al.. (2024). An archival perspective on pretraining data. Patterns. 5(4). 100966–100966. 7 indexed citations
5.
6.
Gade, Emily Kalah, et al.. (2022). Patterns of Bias: How Mainstream Media Operationalize Links between Mass Shootings and Terrorism. Political Communication. 39(6). 755–778. 13 indexed citations
7.
Card, Dallas, Serina Chang, Rob Voigt, et al.. (2022). Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration. Proceedings of the National Academy of Sciences. 119(31). e2120510119–e2120510119. 35 indexed citations
8.
Gururangan, Suchin, et al.. (2022). Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. 2562–2580. 22 indexed citations
9.
Zhou, Kaitlyn, Kawin Ethayarajh, Dallas Card, & Dan Jurafsky. (2022). Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. 401–423. 29 indexed citations
10.
Birhane, Abeba, et al.. (2022). The Values Encoded in Machine Learning Research. 173–184. 143 indexed citations breakdown →
11.
August, Tal, Dallas Card, Gary Hsieh, Noah A. Smith, & Katharina Reinecke. (2020). Explain like I am a Scientist: The Linguistic Barriers of Entry to r/science. 1–12. 16 indexed citations
12.
Sap, Maarten, Dallas Card, Saadia Gabriel, Yejin Choi, & Noah A. Smith. (2019). The Risk of Racial Bias in Hate Speech Detection. 1668–1678. 417 indexed citations breakdown →
13.
Dodge, Jesse, Suchin Gururangan, Dallas Card, Roy Schwartz, & Noah A. Smith. (2019). Show Your Work: Improved Reporting of Experimental Results. 2185–2194. 105 indexed citations
14.
McCoy, Liam G., Jacquelyn Burkell, Dallas Card, et al.. (2019). On Meaningful Human Control in High-Stakes Machine-Human Partnerships. eScholarship (California Digital Library). 2 indexed citations
15.
Boydstun, Amber E., Dallas Card, Justin H. Gross, Paul Resnick, & Noah A. Smith. (2018). Tracking the Development of Media Frames within and across Policy Issues. Figshare. 36 indexed citations
16.
Card, Dallas & Noah A. Smith. (2018). The Importance of Calibration for Estimating Proportions from Annotations. 1636–1646. 19 indexed citations
17.
Card, Dallas, Chenhao Tan, & Noah A. Smith. (2017). A Neural Framework for Generalized Topic Models.. arXiv (Cornell University). 7 indexed citations
18.
Card, Dallas, Amber E. Boydstun, Justin H. Gross, Philip Resnik, & Noah A. Smith. (2015). The Media Frames Corpus: Annotations of Frames Across Issues. 438–444. 125 indexed citations
19.
Payne, A. Abigail & Dallas Card. (2015). Understanding the Gender Gap in Postsecondary Education Participation The Importance of High School Choices and Outcomes. 2 indexed citations
20.
Card, Dallas, et al.. (2011). Understanding the Gender Gap in University Participation: An Exploration of the Application Behaviour of Ontario High School Students. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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