Using Machine Bias To Measure Human Bias | Paper Citation Record

Observation b1aa5b0f-7026-42d8-b0e8-1ad582356014 · outbound

This paper cites Unequal treatment: confronting racial and ethnic disparities in health care.

Using Machine Bias To Measure Human Bias Unequal treatment: confronting racial and ethnic disparities in health care

Reference 1

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Observation 910c8a5e-5e7a-48ed-94bd-0d1b19affd50 · outbound

This paper cites The social psychology of inequality.

Using Machine Bias To Measure Human Bias The social psychology of inequality

Reference 2

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Source-reported events for the cited work

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Observation ce033ec0-50d3-441b-a48d-1be497ebe50c · outbound

This paper cites The language of social inequality.

Using Machine Bias To Measure Human Bias The language of social inequality

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:34:37.727806Z

Source-reported events for the cited work

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Observation 926a2001-4531-4a47-9c26-1243bfd0d208 · outbound

This paper cites Are emily and greg more employable than lakisha and jamal? a field experiment on labor market discrimination.

Using Machine Bias To Measure Human Bias Are emily and greg more employable than lakisha and jamal? a field experiment on labor market discrimination

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.179716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5c24ea8-44aa-46f8-ba33-1dcb106c6d9a · outbound

This paper cites Expecting the unexpected: Effects of data collection design choices on the quality of crowdsourced user-generated content.

Using Machine Bias To Measure Human Bias Expecting the unexpected: Effects of data collection design choices on the quality of crowdsourced user-generated content

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.165545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1931d3dc-3ff3-4e7c-bc08-b6cebc4f94aa · outbound

This paper cites Real-e ffort incentives in online labor markets: Punishments and rewards for individuals and groups.

Using Machine Bias To Measure Human Bias Real-e ffort incentives in online labor markets: Punishments and rewards for individuals and groups

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.151455Z

Source-reported events for the cited work

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Observation 5690dd3b-604a-4d2c-99a3-26c8314b8536 · outbound

This paper cites Data collection in the digital age.

Using Machine Bias To Measure Human Bias Data collection in the digital age

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.136582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5752aec-cedb-4765-9b64-3f28dbb9ff08 · outbound

This paper cites Cost-e ffective quality assurance in crowd labeling.

Using Machine Bias To Measure Human Bias Cost-e ffective quality assurance in crowd labeling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.122567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72502589-bc88-43e1-923d-c73f39094afa · outbound

This paper cites Hate speech classifiers learn normative social stereotypes.

Using Machine Bias To Measure Human Bias Hate speech classifiers learn normative social stereotypes

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.108845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c4dd4d7-4f70-49f7-9740-dc073cbfcf08 · outbound

This paper cites an unresolved cited work.

Using Machine Bias To Measure Human Bias Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:34:39.095027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31858ef3-3585-4403-8e92-e3c9d4b39488 · outbound

This paper cites Ai as an apolitical referee: Using alternative sources to decrease partisan biases in the processing of fact-checking messages.

Using Machine Bias To Measure Human Bias Ai as an apolitical referee: Using alternative sources to decrease partisan biases in the processing of fact-checking messages

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.081135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d1392c7-8d9b-4f6e-8ecc-1a906edf7a13 · outbound

This paper cites Big data’s disparate impact.

Using Machine Bias To Measure Human Bias Big data’s disparate impact

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:34:37.767258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62b97350-6d43-483f-a3da-b6c9f031122d · outbound

This paper cites Tackling unconscious bias in hiring practices: The plight of the rooney rule.

Using Machine Bias To Measure Human Bias Tackling unconscious bias in hiring practices: The plight of the rooney rule

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.058638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 949562ca-5f53-471c-b31f-38fbfb70bfa1 · outbound

This paper cites Facebook is testing the ‘rooney rule’approach to hiring.

Using Machine Bias To Measure Human Bias Facebook is testing the ‘rooney rule’approach to hiring

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.045059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b75d16d-7f04-462d-af23-f0aa53e0fbd0 · outbound

This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.

Using Machine Bias To Measure Human Bias Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:34:37.782189Z

Source-reported events for the cited work

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Observation 52ee457c-3a1b-43f1-8e6a-0789023a17ac · outbound

This paper cites Algorithmic fairness in business analytics: Directions for research and practice.

Using Machine Bias To Measure Human Bias Algorithmic fairness in business analytics: Directions for research and practice

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.021189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c29d4e7-9377-45a5-8260-d7809a55bfc5 · outbound

This paper cites Equality of opportunity in supervised learning.

Using Machine Bias To Measure Human Bias Equality of opportunity in supervised learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:39.008302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ddfa3377-be70-4700-b226-25e190e127ca · outbound

This paper cites Evaluation of uterine cervix segmentations using ground truth from multiple experts.

Using Machine Bias To Measure Human Bias Evaluation of uterine cervix segmentations using ground truth from multiple experts

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.994904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c90555ab-5fba-4db3-bf10-2b18a20ed701 · outbound

This paper cites Scaling up fact-checking using the wisdom of crowds.

Using Machine Bias To Measure Human Bias Scaling up fact-checking using the wisdom of crowds

Reference 19

Resolution: malformed identifier; no resolver link, observed 2026-08-12T11:34:37.799908Z

Source-reported events for the cited work

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Observation cfdd51ee-da1a-46a2-97b0-d359b4394bc3 · outbound

This paper cites Racial-ethnic biases, time pressure, and medical decisions.

Using Machine Bias To Measure Human Bias Racial-ethnic biases, time pressure, and medical decisions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.981960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90c210bd-ce46-43d2-b6b3-a4c73aac2f88 · outbound

This paper cites Impact of race on cardiac care and outcomes in veterans with acute myocardial infarction.

Using Machine Bias To Measure Human Bias Impact of race on cardiac care and outcomes in veterans with acute myocardial infarction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.969043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0279762a-d0d2-44f7-90f6-a8629ef8da60 · outbound

This paper cites We are the people and you are fake news: A social identity approach to populist citizens’ false consensus and hostile media perceptions.

Using Machine Bias To Measure Human Bias We are the people and you are fake news: A social identity approach to populist citizens’ false consensus and hostile media perceptions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.955677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19b22504-e299-4729-b9ae-7f1ab1caa0e1 · outbound

This paper cites Social-cognitive theory in encyclopedia of psychology (vol.

Using Machine Bias To Measure Human Bias Social-cognitive theory in encyclopedia of psychology (vol

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.941451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6189aca-09ba-4618-bcee-1139bc941e61 · outbound

This paper cites Physicians and implicit bias: how doctors may unwittingly perpetuate health care disparities.

Using Machine Bias To Measure Human Bias Physicians and implicit bias: how doctors may unwittingly perpetuate health care disparities

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.927589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 23aee1f1-844a-4e8f-8f11-721e0b19376c · outbound

This paper cites Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients.

Using Machine Bias To Measure Human Bias Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.913462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 713aa38c-b818-4b3e-8829-de1e63d65ebd · outbound

This paper cites Editorial for the special section on humans, algorithms, and augmented intelligence: The future of work, organizations, and society.

Using Machine Bias To Measure Human Bias Editorial for the special section on humans, algorithms, and augmented intelligence: The future of work, organizations, and society

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.899937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45acd304-7e4f-45dc-859f-94b4a8cfe229 · outbound

This paper cites Algorithmic bias: review, synthesis, and future research directions.

Using Machine Bias To Measure Human Bias Algorithmic bias: review, synthesis, and future research directions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.885167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4382a11c-020c-4538-ab01-b4546b14e4a3 · outbound

This paper cites Big data analytics capabilities: a systematic literature review and research agenda.

Using Machine Bias To Measure Human Bias Big data analytics capabilities: a systematic literature review and research agenda

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.870416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e540b61-2611-4a11-9d0a-cfeb365633c8 · outbound

This paper cites Business intelligence and analytics: From big data to big impact.

Using Machine Bias To Measure Human Bias Business intelligence and analytics: From big data to big impact

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.856574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e956350-1744-45fb-b226-3d9c85cee229 · outbound

This paper cites Designing ethical algorithms.

Using Machine Bias To Measure Human Bias Designing ethical algorithms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.841744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7a4bc31-a0a3-4644-a686-f74f000ff138 · outbound

This paper cites Artificial intelligence in information systems: State of the art and research roadmap.

Using Machine Bias To Measure Human Bias Artificial intelligence in information systems: State of the art and research roadmap

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.827870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 820e4acf-9ed3-4f77-b382-0d74da77712c · outbound

This paper cites Fairness in decision-making—the causal explanation formula.

Using Machine Bias To Measure Human Bias Fairness in decision-making—the causal explanation formula

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T11:34:37.855346Z

Source-reported events for the cited work

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Observation c9625dba-5fc4-4995-8570-ad72eb989086 · outbound

This paper cites Evaluating the predictive validity of the compas risk and needs assessment system.

Using Machine Bias To Measure Human Bias Evaluating the predictive validity of the compas risk and needs assessment system

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.802822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f72a4e85-11e9-46e0-948f-2bbd8be6971b · outbound

This paper cites Method and system for loan origination and underwriting, 2007.

Using Machine Bias To Measure Human Bias Method and system for loan origination and underwriting, 2007

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.784235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d885c38e-1b44-4202-aa5c-d5f05519a09e · outbound

This paper cites Machine bias.

Using Machine Bias To Measure Human Bias Machine bias

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.770033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0e57550-c6fb-4a94-bcd2-02a45bc245cf · outbound

This paper cites A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle.

Using Machine Bias To Measure Human Bias A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T11:34:37.872738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65410632-8424-41c4-8423-34849bce2923 · outbound

This paper cites Ai: The issue of bias.

Using Machine Bias To Measure Human Bias Ai: The issue of bias

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.755191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad63b6ae-f0f5-4280-8305-59fc95cbbd95 · outbound

This paper cites Amazon scraps secret ai recruiting tool that showed bias against women.

Using Machine Bias To Measure Human Bias Amazon scraps secret ai recruiting tool that showed bias against women

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.741650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42aee725-da1b-4db2-bbe2-9c2b0f038bbe · outbound

This paper cites An overview of ethical issues in using ai systems in hiring with a case study of amazon’s ai based hiring tool.

Using Machine Bias To Measure Human Bias An overview of ethical issues in using ai systems in hiring with a case study of amazon’s ai based hiring tool

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T11:34:37.886578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd4b47c8-c1f7-434d-9828-d311a92fc0e6 · outbound

This paper cites When more data lead us astray: Active data acquisition in the presence of label bias.

Using Machine Bias To Measure Human Bias When more data lead us astray: Active data acquisition in the presence of label bias

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.718956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f7b94b6-c81f-45b3-bc13-9a24e1adaec9 · outbound

This paper cites Editor’s comments: information systems research and behavioral economics.

Using Machine Bias To Measure Human Bias Editor’s comments: information systems research and behavioral economics

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.705597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e5632aa-4cec-45de-ad55-38c4fc645abe · outbound

This paper cites Gender and ethnicity bias in medicine: A text analysis of 1.8 million critical care records.

Using Machine Bias To Measure Human Bias Gender and ethnicity bias in medicine: A text analysis of 1.8 million critical care records

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.692137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 042cceeb-34d3-4756-8c13-0adcb897957e · outbound

This paper cites The colorblind crowd? founder race and performance in crowdfunding.

Using Machine Bias To Measure Human Bias The colorblind crowd? founder race and performance in crowdfunding

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.679019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a20738d8-83b5-439e-bf6e-2be3d960b776 · outbound

This paper cites How unbecoming of you: Online experiments uncovering gender biases in perceptions of ridesharing performance.

Using Machine Bias To Measure Human Bias How unbecoming of you: Online experiments uncovering gender biases in perceptions of ridesharing performance

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.665988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a171f452-d78f-4e4f-9fc7-fba3f635392f · outbound

This paper cites Social media and selection: Political issue similarity, liking, and the moderating effect of social media platform.

Using Machine Bias To Measure Human Bias Social media and selection: Political issue similarity, liking, and the moderating effect of social media platform

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.652574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5b67eb5-edf0-4b3f-9761-bcb4d7b6ea7e · outbound

This paper cites Human decision-making biases in the moral dilemmas of autonomous vehicles.

Using Machine Bias To Measure Human Bias Human decision-making biases in the moral dilemmas of autonomous vehicles

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.639651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41fbd404-cc7a-45ac-94cc-9794a1a480eb · outbound

This paper cites Failures of fairness in automation require a deeper understanding of human-ml augmentation.

Using Machine Bias To Measure Human Bias Failures of fairness in automation require a deeper understanding of human-ml augmentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.625150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68ffaccb-c76b-4f6c-b630-51e807b36136 · outbound

This paper cites Do gender and race make a difference in acute coronary syndrome pretest probabilities in the emergency department? Academic Emergency Medicine, 24(2):142–151, 2017.

Using Machine Bias To Measure Human Bias Do gender and race make a difference in acute coronary syndrome pretest probabilities in the emergency department? Academic Emergency Medicine, 24(2):142–151, 2017

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.610806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1aef81f4-fa06-42ee-8033-a933959baceb · outbound

This paper cites Disparities in the emergency department evaluation of chest pain patients.

Using Machine Bias To Measure Human Bias Disparities in the emergency department evaluation of chest pain patients

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.597080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77764188-c6ce-49f6-93e1-6acd1f1b4fab · outbound

This paper cites Gender bias in cardiovascular testing persists after adjustment for presenting characteristics and cardiac risk.

Using Machine Bias To Measure Human Bias Gender bias in cardiovascular testing persists after adjustment for presenting characteristics and cardiac risk

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.583108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8fb63a7f-3b3a-4596-bf8f-10f10d5c002e · outbound

This paper cites Organizational experiences and career success of mis professionals and managers: An examination of race differences.

Using Machine Bias To Measure Human Bias Organizational experiences and career success of mis professionals and managers: An examination of race differences

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.569869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e3b6a5e-3425-422f-b49b-3ba985ce9694 · outbound

This paper cites V ocal minority and silent majority: How do online ratings reflect population perceptions of quality.

Using Machine Bias To Measure Human Bias V ocal minority and silent majority: How do online ratings reflect population perceptions of quality

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.556741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52fcba8b-ac43-441e-92b7-c3ca2afa0b94 · outbound

This paper cites Toward a social psychology of race and race relations for the twenty-first century.

Using Machine Bias To Measure Human Bias Toward a social psychology of race and race relations for the twenty-first century

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.543136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c3d9610-c8e5-405f-9d90-dfd27ad68ad2 · outbound

This paper cites On the interplay of data and cognitive bias in crisis information management: An exploratory study on epidemic response.

Using Machine Bias To Measure Human Bias On the interplay of data and cognitive bias in crisis information management: An exploratory study on epidemic response

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.529859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3aeb6116-c667-4809-89b6-b0ef86350b27 · outbound

This paper cites On self-selection biases in online product reviews.

Using Machine Bias To Measure Human Bias On self-selection biases in online product reviews

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.515765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 59d17c91-20cc-46d6-b56b-8f8e4760650d · outbound

This paper cites Who are you and what are you selling? creatorbased and product-based racial cues in crowdfunding.

Using Machine Bias To Measure Human Bias Who are you and what are you selling? creatorbased and product-based racial cues in crowdfunding

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.500735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbfb004d-3831-4ca0-b292-4a5728dd57cf · outbound

This paper cites A systematic review of the impact of physician implicit racial bias on clinical decision making.

Using Machine Bias To Measure Human Bias A systematic review of the impact of physician implicit racial bias on clinical decision making

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.486591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 106757a3-45ba-4027-9290-d75c21a85dea · outbound

This paper cites Forming impressions from stereotypes, traits, and behaviors: A parallel-constraint-satisfaction theory.

Using Machine Bias To Measure Human Bias Forming impressions from stereotypes, traits, and behaviors: A parallel-constraint-satisfaction theory

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.471035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56bfc69f-4296-492b-85be-200932a689e7 · outbound

This paper cites Pomdp-based control of workflows for crowdsourcing.

Using Machine Bias To Measure Human Bias Pomdp-based control of workflows for crowdsourcing

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.456983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b27a6cdd-2e41-4a54-ba8a-c54fc6351058 · outbound

This paper cites Aggregating crowdsourced binary ratings.

Using Machine Bias To Measure Human Bias Aggregating crowdsourced binary ratings

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.442646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1bab392-ec54-43cf-990b-f7a37d0ca4cd · outbound

This paper cites Estimating diagnostic accuracy of raters without a gold standard by exploiting a group of experts.

Using Machine Bias To Measure Human Bias Estimating diagnostic accuracy of raters without a gold standard by exploiting a group of experts

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.426624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b8af6b98-a829-4eb9-a8b2-16c63247b675 · outbound

This paper cites Maximum likelihood estimation of observer error-rates using the em algorithm.

Using Machine Bias To Measure Human Bias Maximum likelihood estimation of observer error-rates using the em algorithm

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.412618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 084e788e-d02f-4170-a5f4-00ee3897e274 · outbound

This paper cites Majority voting and pairing with multiple noisy labeling.

Using Machine Bias To Measure Human Bias Majority voting and pairing with multiple noisy labeling

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.398153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 586ed97c-fde0-4e91-81c3-e0710ae88fd0 · outbound

This paper cites Learning from noisy labels by regularized estimation of annotator confusion.

Using Machine Bias To Measure Human Bias Learning from noisy labels by regularized estimation of annotator confusion

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.384699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 329b5690-3a67-48d0-8a07-300da0093b3c · outbound

This paper cites Confident learning: Estimating uncertainty in dataset labels.

Using Machine Bias To Measure Human Bias Confident learning: Estimating uncertainty in dataset labels

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.370885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 083744e9-dc03-43e4-963c-f1e39c5ec922 · outbound

This paper cites Dissecting racial bias in an algorithm used to manage the health of populations.

Using Machine Bias To Measure Human Bias Dissecting racial bias in an algorithm used to manage the health of populations

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T11:34:38.000516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97330ebb-9b77-43df-8dc5-39f510939ecc · outbound

This paper cites Man is to computer programmer as woman is to homemaker? debiasing word embeddings.

Using Machine Bias To Measure Human Bias Man is to computer programmer as woman is to homemaker? debiasing word embeddings

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.348674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0d9b2bd-1586-4151-ad97-eecf3b8dc83e · outbound

This paper cites Digital first: The ontological reversal and new challenges for is research.

Using Machine Bias To Measure Human Bias Digital first: The ontological reversal and new challenges for is research

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.335102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d84880b0-4802-4cd1-9927-3da2c973dcd9 · outbound

This paper cites Managing artificial intelligence.

Using Machine Bias To Measure Human Bias Managing artificial intelligence

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.321981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8dfd6d5a-1751-42d5-839d-cfac58221756 · outbound

This paper cites Questioning racial and gender bias in ai-based recommendations: Do espoused national cultural values matter? Information Systems Frontiers, 24(5):1465–1481, 2022.

Using Machine Bias To Measure Human Bias Questioning racial and gender bias in ai-based recommendations: Do espoused national cultural values matter? Information Systems Frontiers, 24(5):1465–1481, 2022

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.308809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 709a17e6-6a24-4956-852d-aa423e6ddb32 · outbound

This paper cites Editor’s comments: Computationally intensive theory construction: A primer for authors and reviewers.

Using Machine Bias To Measure Human Bias Editor’s comments: Computationally intensive theory construction: A primer for authors and reviewers

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.294978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2cf9708e-9a06-43bf-8853-fb9cb4887304 · outbound

This paper cites Unifying the role of it in hyperturbulence and competitive advantage via a multilevel perspective of is strategy.

Using Machine Bias To Measure Human Bias Unifying the role of it in hyperturbulence and competitive advantage via a multilevel perspective of is strategy

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.281456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 900810ed-57ef-45b2-b2f2-5be9054fb7bc · outbound

This paper cites Who is a better decision maker? data-driven expert ranking under unobserved quality.

Using Machine Bias To Measure Human Bias Who is a better decision maker? data-driven expert ranking under unobserved quality

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.266571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33a0f74c-10c9-4a6c-8d07-a2f11ea595ea · outbound

This paper cites Repeated labeling using multiple noisy labelers.

Using Machine Bias To Measure Human Bias Repeated labeling using multiple noisy labelers

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.250550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40060d43-5b20-44f6-a931-77d7750db311 · outbound

This paper cites Learning from crowds.

Using Machine Bias To Measure Human Bias Learning from crowds

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.236977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4766d106-5d8c-41d1-bf38-5eaf61c57160 · outbound

This paper cites The right music at the right time: Adaptive personalized playlists based on sequence modeling.

Using Machine Bias To Measure Human Bias The right music at the right time: Adaptive personalized playlists based on sequence modeling

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.223325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ec76ea4-03de-4745-a557-efe9d7c817a0 · outbound

This paper cites Using retweets when shaping our online persona: Topic modeling approach.

Using Machine Bias To Measure Human Bias Using retweets when shaping our online persona: Topic modeling approach

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.209352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9f00cbb-2f91-4a09-b73d-859a890f9732 · outbound

This paper cites Logistic regression.

Using Machine Bias To Measure Human Bias Logistic regression

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.195685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a320226c-1d1a-4dfc-91ac-12037d254468 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Using Machine Bias To Measure Human Bias Xgboost: A scalable tree boosting system

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T11:34:38.054808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fe38bae-9e00-4dc5-a427-4433c14d93eb · outbound

This paper cites Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites.

Using Machine Bias To Measure Human Bias Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.172803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab8881af-06fb-44a3-b2a1-16eed711c5c3 · outbound

This paper cites Gender stereotypes and workplace bias.

Using Machine Bias To Measure Human Bias Gender stereotypes and workplace bias

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T11:34:38.063523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1df950d6-8371-402a-9083-5dec73d300a2 · outbound

This paper cites Machine learning and health care disparities in dermatology.

Using Machine Bias To Measure Human Bias Machine learning and health care disparities in dermatology

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:34:38.149989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 391c2031-4c80-4da3-ab9f-e62791522be8 · outbound

This paper cites recall (TPR ˆY|Y′, A) versus precision (PPV ˆY|Y′, A) ratio.

Using Machine Bias To Measure Human Bias recall (TPR ˆY|Y′, A) versus precision (PPV ˆY|Y′, A) ratio

Reference 83

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T11:34:38.135605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers