--- title: "Dallas Card — author profile and papers" description: "Dallas Card, University of Michigan: 2 papers on Elamur Research (2015–2019), h-index 19 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/dallas-card/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dallas-card/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dallas Card # Dallas Card 2 papers on this site · 2015–2019 current affiliation [University of Michigan](https://ror.org/00jmfr291), Ann Arbor, United States Dallas Card has 2 papers on this site, in 2015–2019, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/), [Maarten Sap](https://md.research.elamur.ai/free/en/authors/maarten-sap/), [Philip Resnik](https://md.research.elamur.ai/free/en/authors/philip-resnik/). [OpenAlex](https://openalex.org/A5070767948) · [ORCID](https://orcid.org/0000-0001-5573-8836) · [**h-index 19**](https://openalex.org/authors/A5070767948) · [46 works](https://openalex.org/works?filter=author.id:A5070767948) · [4 558 citations](https://openalex.org/works?filter=author.id:A5070767948&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works on this site](https://md.research.elamur.ai/free/en/authors/dallas-card/#papers) · [1 371 citations in our library](https://md.research.elamur.ai/free/en/authors/dallas-card/cited-by/) · 1 more work in our library The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Dallas+Card) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dallas+Card) · [dblp](https://dblp.org/search?q=Dallas+Card) · [ACL Anthology](https://aclanthology.org/search/?q=Dallas+Card) ## Affiliations - [University of Michigan](https://ror.org/00jmfr291) · Ann Arbor, United States —current · 2022–2026 on 27 papers · employment (Wikidata) - [Stanford University](https://ror.org/00f54p054) · Stanford, United States —2020–2022 on 7 papers - [University of Washington](https://ror.org/00cvxb145) · Seattle, United States —2017–2022 on 6 papers - [Allen Institute for Artificial Intelligence](https://ror.org/05w520734) · Seattle, United States —2019–2022 on 5 papers - [Emory University](https://ror.org/03czfpz43) · Atlanta, United States —2022 on 2 papers - [University of New Mexico](https://ror.org/05fs6jp91) · Albuquerque, United States —2022 on 2 papers - [Carnegie Mellon University](https://ror.org/05x2bcf33) · Pittsburgh, United States —2015–2019 on 10 papers · education (Wikidata) - [Hospital for Sick Children](https://ror.org/057q4rt57) · Toronto, Canada —2010–2015 on 8 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Topics [Sentiment & emotion 1](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Bias, fairness & safety 1](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Papers The most cited first (OpenAlex and our library). 1. **[The Risk of Racial Bias in Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sap-2019-risk-racial-bias-hate-speech/)** *(2019 · 1 148 citations)* Sap et al. examine whether hate speech classifiers penalize African American English (AAE). Annotators often ignore dialect and the speaker's identity, so ordinary in-group language can be marked as toxic. The authors used the Blodgett et al. (2016) lexical dialect model to estimate how likely each tweet is to be… 2. **[The Media Frames Corpus: Annotations of Frames Across Issues](https://md.research.elamur.ai/free/en/papers/card-2015-media-frames-corpus-annotations-frames/)** *(2015 · 359 citations)* Social scientists usually study media framing with codebooks built for a single issue. This makes it hard to compare framing across topics, and earlier computational work mostly reduced framing to one dimension or one domain. The authors introduce the Media Frames Corpus (version 1), which contains several thousand… ## Also in our library 1 more work of theirs is in our library without a page here yet; it will appear as we publish them. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) ×2 - [Maarten Sap](https://md.research.elamur.ai/free/en/authors/maarten-sap/) - [Philip Resnik](https://md.research.elamur.ai/free/en/authors/philip-resnik/) - [Saadia Gabriel](https://md.research.elamur.ai/free/en/authors/saadia-gabriel/) - [Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/) ## Cited by Papers of our library cite their works 1 371 times (of the 140 884 papers whose bibliographies we read); [132 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dallas-card/cited-by/).