Emily Bello-Pardo
Biographic Data
| ID | 4816624 |
|---|---|
| NAME | Emily Bello-Pardo |
| GIVEN NAMES | Emily |
| FAMILY NAME | Bello-Pardo |
| SIGNATURE | BELLO-PARDO E |
| AFFILIATIONS | American University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 36 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 2 |
Diagnosing Gender Bias in Image Recognition Systems
Image recognition systems offer the promise to learn from images at scale without requiring expert knowledge. However, past research suggests that machine learning systems often produce biased output. In this article, we evaluate potential gender biases of commercial image recognition platforms using photographs of U.S. members of Congress and a large number of Twitter images posted by these politicians. Our crowdsourced validation shows that com…
The Polarizing Effects of Online Partisan Criticism: Evidence from Two Experiments
Affective and social political polarization—a dislike of political opponents and a desire to avoid their company—are increasingly salient and pervasive features of politics in many Western democracies, particularly the United States. One contributor to these related phenomena may be increasing exposure to online political disagreements in which ordinary citizens criticize, and sometimes explicitly demean, opponents. This article presents two expe…
The Polarizing Effects of Online Partisan Criticism: Evidence from Two Experiments
Affective and social political polarization—a dislike of political opponents and a desire to avoid their company—are increasingly salient and pervasive features of politics in many Western democracies, particularly the United States. One contributor to these related phenomena may be increasing exposure to online political disagreements in which ordinary citizens criticize, and sometimes explicitly demean, opponents. This article presents two expe…
Diagnosing Gender Bias in Image Recognition Systems
Image recognition systems offer the promise to learn from images at scale without requiring expert knowledge. However, past research suggests that machine learning systems often produce biased output. In this article, we evaluate potential gender biases of commercial image recognition platforms using photographs of U.S. members of Congress and a large number of Twitter images posted by these politicians. Our crowdsourced validation shows that com…
The Polarizing Effects of Online Partisan Criticism: Evidence from Two Experiments
Affective and social political polarization—a dislike of political opponents and a desire to avoid their company—are increasingly salient and pervasive features of politics in many Western democracies, particularly the United States. One contributor to these related phenomena may be increasing exposure to online political disagreements in which ordinary citizens criticize, and sometimes explicitly demean, opponents. This article presents two expe…
Diagnosing Gender Bias in Image Recognition Systems
Image recognition systems offer the promise to learn from images at scale without requiring expert knowledge. However, past research suggests that machine learning systems often produce biased output. In this article, we evaluate potential gender biases of commercial image recognition platforms using photographs of U.S. members of Congress and a large number of Twitter images posted by these politicians. Our crowdsourced validation shows that com…
Psychology (2 works) · Affect (linguistics (1 works) · Artificial Intelligence (1 works) · Autocracy (1 works) · Communication (1 works) · Communication (1 works) · Computer Science (1 works) · Criticism (1 works) · Data science (1 works) · Democracy (1 works)