From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? | Paper Citation Record

Observation c56f8267-2f07-4332-98ec-f6496d2a31ea · outbound

This paper cites Zhou and F.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Zhou and F

Reference 1

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Observation 40d030ac-8086-46b6-948f-08dbf62a195e · outbound

This paper cites Software engineering for ai-based systems: A survey,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Software engineering for ai-based systems: A survey,

Reference 2

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This paper cites Comparative analysis of image clas- sification algorithms based on traditional machine learning and deep learning,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Comparative analysis of image clas- sification algorithms based on traditional machine learning and deep learning,

Reference 3

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This paper cites A survey on theories and applications for self-driving cars based on deep learning methods,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A survey on theories and applications for self-driving cars based on deep learning methods,

Reference 4

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This paper cites Can an algorithm hire better than a human,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Can an algorithm hire better than a human,

Reference 5

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Observation 2e9f9fd0-ffae-4e80-9b08-e4f73867f79f · outbound

This paper cites The algorithm that beats your bank manager,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The algorithm that beats your bank manager,

Reference 6

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Observation 78554684-7a3b-402a-9744-110de9b047f4 · outbound

This paper cites A survey on bias and fairness in machine learning,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A survey on bias and fairness in machine learning,

Reference 7

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This paper cites Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods,

Reference 8

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Observation bf1b1f27-98bc-4917-8022-5c3962f824ba · outbound

This paper cites A review on fairness in machine learning,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A review on fairness in machine learning,

Reference 9

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This paper cites Machine learning, ethics and law,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Machine learning, ethics and law,

Reference 10

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Observation a18c6196-2771-4ca4-8e7b-a328ee21d54e · outbound

This paper cites Software fairness,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Software fairness,

Reference 11

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This paper cites Facebook apologizes after a.i. puts ’primates’ label on video of black men,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Facebook apologizes after a.i. puts ’primates’ label on video of black men,

Reference 12

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This paper cites ’gay writing’ falls foul of amazon sales ranking system,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? ’gay writing’ falls foul of amazon sales ranking system,

Reference 13

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This paper cites Ai ethics issues in real world: Evidence from ai incident database,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Ai ethics issues in real world: Evidence from ai incident database,

Reference 14

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This paper cites Bias mitigation for machine learning classifiers: A comprehensive survey,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Bias mitigation for machine learning classifiers: A comprehensive survey,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:10.047129Z

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Observation cfaf46d3-0460-4f46-912e-584d8117cbbd · outbound

This paper cites Ai fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Ai fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias,

Reference 16

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Observation 2aab56df-2785-45f0-87ff-3cdc26712b9b · outbound

This paper cites Fairlearn,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairlearn,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:10.014156Z

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Observation 3b6bb37f-ef96-47d7-8b58-11aa8c20c405 · outbound

This paper cites Exploring how machine learning practitioners (try to) use fairness toolkits,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Exploring how machine learning practitioners (try to) use fairness toolkits,

Reference 18

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Observation 66bb9ee1-f8c6-480a-be6c-bb3d857ef312 · outbound

This paper cites The landscape and gaps in open source fairness toolkits,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The landscape and gaps in open source fairness toolkits,

Reference 19

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This paper cites Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering

Reference 20

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This paper cites The extended unified theory of acceptance and use of technology (utaut2): A systematic literature review and theory evaluation,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The extended unified theory of acceptance and use of technology (utaut2): A systematic literature review and theory evaluation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.995665Z

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This paper cites Where responsible ai meets reality: Practitioner perspectives on enablers for shifting organizational practices,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Where responsible ai meets reality: Practitioner perspectives on enablers for shifting organizational practices,

Reference 22

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This paper cites Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology,

Reference 23

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This paper cites A primer on partial least squares structural equation modeling (pls-sem),.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A primer on partial least squares structural equation modeling (pls-sem),

Reference 24

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Observation 1fc1de89-4b76-4d61-9ca5-f49e3c734d22 · outbound

This paper cites Fairness per- ceptions of algorithmic decision-making: A systematic review of the empirical literature,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness per- ceptions of algorithmic decision-making: A systematic review of the empirical literature,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.938861Z

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This paper cites Fairness definitions explained,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness definitions explained,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.919359Z

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This paper cites Fair enough: Searching for sufficient measures of fairness,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fair enough: Searching for sufficient measures of fairness,

Reference 27

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This paper cites Data augmentation for discrimination prevention and bias disambiguation,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Data augmentation for discrimination prevention and bias disambiguation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.899936Z

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This paper cites Optimized pre-processing for discrimination prevention,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Optimized pre-processing for discrimination prevention,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.882847Z

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Observation 54669ba4-e7f2-45d9-9eaa-a63e964d752d · outbound

This paper cites Bias in machine learning software: why? how? what to do?.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Bias in machine learning software: why? how? what to do?

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.865423Z

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This paper cites Mitigating unwanted biases with adversarial learning,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Mitigating unwanted biases with adversarial learning,

Reference 31

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This paper cites Fairness-aware classifier with prejudice remover regularizer,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness-aware classifier with prejudice remover regularizer,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.834492Z

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This paper cites an unresolved cited work.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Unresolved cited work

Reference 33

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This paper cites Data preprocessing techniques for classi- fication without discrimination,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Data preprocessing techniques for classi- fication without discrimination,

Reference 34

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This paper cites Fairway: a way to build fair ml software,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairway: a way to build fair ml software,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.785772Z

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This paper cites Fairness testing: testing software for discrimination,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness testing: testing software for discrimination,

Reference 36

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This paper cites Automated directed fairness testing,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Automated directed fairness testing,

Reference 37

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This paper cites Fairness improvement with multiple protected attributes: How far are we?.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness improvement with multiple protected attributes: How far are we?

Reference 38

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This paper cites Refair: Toward a context-aware recommender for fairness requirements engineering,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Refair: Toward a context-aware recommender for fairness requirements engineering,

Reference 39

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This paper cites Fairness-aware machine learning engineering: how far are we?.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness-aware machine learning engineering: how far are we?

Reference 40

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This paper cites Lift: A scalable framework for measuring fairness in ml applications,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Lift: A scalable framework for measuring fairness in ml applications,

Reference 41

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Observation 231ee24d-2d3f-4298-b806-aa95fdf3a2a6 · outbound

This paper cites “ignorance and prejudice.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? “ignorance and prejudice

Reference 42

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This paper cites Understanding Fairness in Software Engineering: Insights from Stack Exchange.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Understanding Fairness in Software Engineering: Insights from Stack Exchange

Reference 43

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Observation d37c44ef-ba45-4ac6-a7bb-ad9d4e59bc49 · outbound

This paper cites A Catalog of Fairness-Aware Practices in Machine Learning Engineering.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A Catalog of Fairness-Aware Practices in Machine Learning Engineering

Reference 44

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Observation f9f0b9d1-c119-4136-9638-0ddc78b5a9b1 · outbound

This paper cites Fairness-aware practices from developers’ perspective: A survey,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness-aware practices from developers’ perspective: A survey,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.658862Z

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Observation 1099f5a4-f3ba-4a7e-aae8-cc9f8d96c937 · outbound

This paper cites “fairness toolkits, a checkbox culture?.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? “fairness toolkits, a checkbox culture?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.415433Z

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This paper cites The what-if tool: Interactive probing of machine learning models,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The what-if tool: Interactive probing of machine learning models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.639541Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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This paper cites scikit-fairness,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? scikit-fairness,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.619759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 563d2e11-6c38-46d8-bd05-0eec9cb72306 · outbound

This paper cites Improving fairness in machine learning systems: What do industry practitioners need?.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Improving fairness in machine learning systems: What do industry practitioners need?

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.599193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9c7e6c53-217f-45c3-9ab7-9ad3e34d4185 · outbound

This paper cites Why don’t men ever stop to ask for directions? gender, social influence, and their role in technology acceptance and usage behavior,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Why don’t men ever stop to ask for directions? gender, social influence, and their role in technology acceptance and usage behavior,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.579783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 968fac45-1fad-4c09-9c69-b57ae637a7de · outbound

This paper cites User acceptance of information technology: Toward a unified view,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? User acceptance of information technology: Toward a unified view,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.448224Z

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Unavailable: canonical work link unavailable.

Observation 531cb591-6e6a-45ed-9cce-0fbe3f88fa8b · outbound

This paper cites The unified theory of acceptance and use of technology: A new approach in technology acceptance,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The unified theory of acceptance and use of technology: A new approach in technology acceptance,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.548441Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e527441-70e5-493e-8308-372727504b73 · outbound

This paper cites Technology acceptance model,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Technology acceptance model,

Reference 53

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Observation a7c41abf-b44a-4373-9158-01a5e548b871 · outbound

This paper cites Online appendix,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Online appendix,

Reference 54

Resolution: verified exact; raw_fallback, observed 2026-08-11T12:48:08.867950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a7230f4-b051-4d83-a806-3d4c668483eb · outbound

This paper cites Ethical perceptions of ai in hiring and organizational trust: The role of performance expectancy and social influence,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Ethical perceptions of ai in hiring and organizational trust: The role of performance expectancy and social influence,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.516807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2110bff2-f1fd-4e68-9945-1c497c5e6a60 · outbound

This paper cites Oneto and S.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Oneto and S

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.498180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7fabc07-7a66-4b79-9c76-fece0cdfd644 · outbound

This paper cites Perceived usefulness, perceived ease of use, and user acceptance of information technology,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Perceived usefulness, perceived ease of use, and user acceptance of information technology,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.480130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f4410771-e0d6-437b-ac34-17eda219e787 · outbound

This paper cites User acceptance of hedonic information systems,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? User acceptance of hedonic information systems,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.461422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b482a06c-a8ad-49c7-9ead-f9a7df0f655b · outbound

This paper cites Statistical power analyses using g* power 3.1: Tests for correlation and regression analyses,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Statistical power analyses using g* power 3.1: Tests for correlation and regression analyses,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.499346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da95c1e3-9870-4f54-a556-53f3cbd5bdf0 · outbound

This paper cites Personal opinion surveys,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Personal opinion surveys,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.506895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e0a69d-dcd3-4287-aabd-5def808a6f65 · outbound

This paper cites Conducting research on the internet:: Online survey design, development and implementation guidelines,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Conducting research on the internet:: Online survey design, development and implementation guidelines,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.513306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91adcf3e-daa8-47bb-af11-9a7c16303c72 · outbound

This paper cites Pls-sem for software engineering research: An introduction and survey,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Pls-sem for software engineering research: An introduction and survey,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.518743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469f9850-efb4-4964-9a66-397aa6d4a7e6 · outbound

This paper cites Do you really code? designing and evaluating screening questions for online surveys with programmers,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Do you really code? designing and evaluating screening questions for online surveys with programmers,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.524501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 917947b8-2dad-48c1-8dc6-622abda38e00 · outbound

This paper cites Empirical standards for software engineering research,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Empirical standards for software engineering research,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.530601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ed7c9d2-f86c-427d-8887-815d9abfb9de · outbound

This paper cites Ethical issues in software engineering research: a survey of current practice,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Ethical issues in software engineering research: a survey of current practice,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.358302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c218f9f3-e2d8-45ee-ae80-3b5605cad791 · outbound

This paper cites Smartpls 4,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Smartpls 4,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.547004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0cd3bc9-2b24-4f9e-a5c2-cf70120f8f84 · outbound

This paper cites The partial least squares approach to structural equation modeling,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The partial least squares approach to structural equation modeling,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.565126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69f68e74-ca48-4521-8ede-de68dd539e46 · outbound

This paper cites A new criterion for assessing discriminant validity in variance-based structural equation modeling,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A new criterion for assessing discriminant validity in variance-based structural equation modeling,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.559552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaa9ea02-5b6f-4f5d-9200-25292842ac25 · outbound

This paper cites The elephant in the room: Predictive performance of pls models,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The elephant in the room: Predictive performance of pls models,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.256744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9e96f11f-03b7-4074-b499-e2a7e875559f · outbound

This paper cites On the value rel- evance of customer satisfaction. multiple drivers and multiple markets,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? On the value rel- evance of customer satisfaction. multiple drivers and multiple markets,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.571047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b9d8f33-a39b-4eb9-af8f-40a84bf8715b · outbound

This paper cites Personal computing: Toward a conceptual model of utilization,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Personal computing: Toward a conceptual model of utilization,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.215092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 014741e3-c362-4f21-8d5e-910a78674272 · outbound

This paper cites Predictive model assessment in pls- sem: guidelines for using plspredict,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Predictive model assessment in pls- sem: guidelines for using plspredict,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:48:09.235007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c3ebb48c-e653-4de0-90c7-159c432e3d8f · outbound

This paper cites Wohlin, P.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Wohlin, P

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.595983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c22872d-76d3-4d16-9dcc-e1adf9f8a706 · outbound

This paper cites Available: https://www.smartpls.com/.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Available: https://www.smartpls.com/

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:08.553894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

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