Dallas Card
Biographic Data
| ID | 4394515 |
|---|---|
| NAME | Dallas Card |
| GIVEN NAMES | Dallas |
| FAMILY NAME | Card |
| SIGNATURE | CARD D |
| AFFILIATIONS | University of Michigan |
| ORCID | 0000-0001-5573-8836 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Patterns of Bias: How Mainstream Media Operationalize Links between Mass Shootings and Terrorism
How do race and/or religion shape news media coverage of mass shooters and whether media associate mass shooters with terrorism? This article combines natural language processing (NLP), statistical analysis of U.S. mass shooting events (1990–2016) and an in-depth case-study comparison to evaluate whether media exhibit patterns in how they frame mass shooters from different racial and/or religious groups. First, we use NLP to target and model the …
The Risk of Racial Bias in Hate Speech Detection
We investigate how annotators' insensitivity to differences in dialect can lead to racial bias in automatic hate speech detection models, potentially amplifying harm against minority populations. We first uncover unexpected correlations between surface markers of African American English (AAE) and ratings of toxicity in several widely-used hate speech datasets. Then, we show that models trained on these corpora acquire and propagate these biases,…
Patterns of Bias: How Mainstream Media Operationalize Links between Mass Shootings and Terrorism
How do race and/or religion shape news media coverage of mass shooters and whether media associate mass shooters with terrorism? This article combines natural language processing (NLP), statistical analysis of U.S. mass shooting events (1990–2016) and an in-depth case-study comparison to evaluate whether media exhibit patterns in how they frame mass shooters from different racial and/or religious groups. First, we use NLP to target and model the …
The Risk of Racial Bias in Hate Speech Detection
We investigate how annotators' insensitivity to differences in dialect can lead to racial bias in automatic hate speech detection models, potentially amplifying harm against minority populations. We first uncover unexpected correlations between surface markers of African American English (AAE) and ratings of toxicity in several widely-used hate speech datasets. Then, we show that models trained on these corpora acquire and propagate these biases,…
Patterns of Bias: How Mainstream Media Operationalize Links between Mass Shootings and Terrorism
How do race and/or religion shape news media coverage of mass shooters and whether media associate mass shooters with terrorism? This article combines natural language processing (NLP), statistical analysis of U.S. mass shooting events (1990–2016) and an in-depth case-study comparison to evaluate whether media exhibit patterns in how they frame mass shooters from different racial and/or religious groups. First, we use NLP to target and model the …
Computer Science (2 works) · History (2 works) · Political science (2 works) · Psychology (2 works) · Social Psychology (2 works) · African american (1 works) · Annotation (1 works) · Artificial Intelligence (1 works) · Computational and Text Analysis Methods (1 works) · Crime, Deviance, and Social Control (1 works)