Long-term reduction in implicit race bias: A prejudice habit-breaking intervention
Open accessAbstract
We developed a multi-faceted prejudice habit-breaking intervention to produce long-term reductions in implicit race bias. The intervention is based on the premise that implicit bias is like a habit that can be reduced through a combination of awareness of implicit bias, concern about the effects of that bias, and the application of strategies to reduce bias. In a 12-week longitudinal study, people who received the intervention showed dramatic reductions in implicit race bias. People who were concerned about discrimination or who reported using the strategies showed the greatest reductions. The intervention also led to increases in concern about discrimination and personal awareness of bias over the duration of the study. People in the control group showed none of the above effects. Our results raise the hope of reducing persistent and unintentional forms of discrimination that arise from implicit bias.
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Written from the paper’s full text.
TL;DR
A multifaceted prejudice habit-breaking intervention produced reductions in implicit race bias that persisted 8 weeks after the manipulation in a randomized controlled trial. Intervention participants showed lower IAT scores than controls, and greater week-2 concern about discrimination and strategy use predicted larger reductions.
Key findings
- Intervention participants had lower implicit race bias than control participants after the manipulation, \(B = -.19\), \(t(88) = -2.82\), \(p = .006\), \(\Delta R^2 = .081\); the reductions at 4 and 8 weeks did not differ systematically, \(B = .091\), \(t(88) = .82\), \(p = .42\).
- The intervention increased concern about discrimination, \(B = .43\), \(t(88) = 2.24\), \(p = .028\), \(\Delta R^2 = .049\), and prejudice-relevant discrepancies, \(B = .38\), \(t(88) = 2.31\), \(p = .024\), \(\Delta R^2 = .047\), but did not change racial attitudes or internal/external motivations to respond without prejudice (all \(ps \ge .53\)).
- Week-2 concern about discrimination moderated the intervention effect on implicit bias, \(B = -.15\), \(t(86) = -2.46\), \(p = .016\), \(\Delta R^2 = .058\); high-concern intervention participants had IAT scores .38 units lower at week 4 and .31 units lower at week 8 than high-concern control participants.
- Self-reported likelihood to use the strategies predicted lower implicit race bias, \(B = -.14\), \(t(50) = -3.18\), \(p = .003\), \(\Delta R^2 = .17\); implementation-related word stems at week 2 predicted lower week-4 IAT bias, \(B = -.068\), \(t(50) = -2.47\), \(p = .017\), \(\Delta R^2 = .11\), and likelihood plus implementation word use jointly accounted for 23% of the variance in week-4 implicit bias.
Methods
- Ninety-one non-Black introductory psychology students (67% female, 85% White) completed a 12-week longitudinal study; participants were randomly assigned to intervention (\(n = 53\)) or control (\(n = 38\)).
- Implicit race bias was measured with the Black–White IAT at baseline and 4 and 8 weeks after the manipulation; explicit measures were administered 4 weeks before and 2 and 6 weeks after the manipulation. The intervention was a 45-minute narrated interactive slideshow with education and training in five strategies: stereotype replacement, counter-stereotypic imaging, individuation, perspective taking, and increasing opportunities for contact.
- Analyses used general linear models with the baseline dependent variable as a covariate, multiple imputation for missing data, moderation analyses, and text mining of free-response strategy-use reports.
Limitations
- The paper states that the multifaceted intervention creates ambiguity about which components are necessary or sufficient, that the study lacked precise quantitative indicators of use of the five strategies, and that future work must show whether reductions in implicit bias lead to reductions in discriminatory outcomes.
- Evident from the text: the sample was non-Black introductory psychology students, mostly White and female, limiting generalizability; the study used only one implicit measure, the Black–White IAT.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Claims the paper makes
0 of 45 cited sources checked · 0 supported · 0 flagged
- Findingown data
Intervention condition participants with more concern about discrimination at week 2 had particularly low levels of implicit bias at weeks 4 and 8.
“As shown in Figure 5, intervention condition participants with more concern about discrimination at week 2 had particularly low levels of implicit bias at weeks 4 and 8.”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
People in the control group showed none of the above effects.
“People in the control group showed none of the above effects.”
Quote in the paperSubstantial claim - Findingown data
The only week 2 explicit variable to emerge as a moderator of the intervention's effect on implicit bias was concern about discrimination.
“The only week 2 explicit variable to emerge as a moderator was concern about discrimination, B = -.15, t(86) = -2.46, p = .016, ΔR2 = .058, all other ps ≥ .23.”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
Participants in the intervention group increased in concern after they received the intervention, B = .40, t(89) = 2.10, p = .042, d = .38.
“participants in the intervention group increased in concern after they received the intervention, B = .40, t(89) = 2.10, p = .042, d = .38.”
Quote in the paperNot a substantial claim - Findingown data
Intervention group participants had higher concern about discrimination than control group participants following the intervention manipulation, B = .43, t(88) = 2.24, p = .028, ΔR2 = .049.
“Intervention group participants had higher concern than control group participants following the intervention manipulation, B = .43, t(88) = 2.24, p = .028, ΔR2 = .049.”
Quote in the paperNot a substantial claim
- Findingown data
When all three variables were allowed to predict post-baseline implicit race bias, only the relationship with likelihood remained robust.
“when all three variables were allowed to predict post-baseline implicit race bias, only the relationship with likelihood remained robust, B = -.13, t(48) = -2.03, p = .051, ΔR2 = .078.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
Increases in discrepancies did not predict decreases in implicit race bias.
“we explored whether the increases in discrepancies predicted the decreases in implicit race bias, but this was not the case, B = -.037, t(88) = -.67, p = .50, ΔR2 = .005.”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
Perceived opportunities emerged as a predictor of lower implicit race bias.
“Though the effects were weaker, perceived opportunities also emerged as a predictor of lower implicit race bias, B = -.092, t(50) = -2.40, p = .021, ΔR2 = .10”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
Following the manipulation, intervention group participants had lower IAT scores than control group participants, B = -.19, t(88) = -2.82, p = .006, ΔR2 = .081.
“Following the manipulation, intervention group participants had lower IAT scores than control group participants, B = -.19, t(88) = -2.82, p = .006, ΔR2 = .081.”
Quote in the paperSubstantial claim - Findingown data
Self-reported likelihood to use the strategies was associated with lower implicit race bias.
“These analyses revealed that self-reported likelihood to use the strategies was associated with lower implicit race bias, B = -.14, t(50) = -3.18, p = .003, ΔR2 = .17”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
The effect of the intervention manipulation on concern grew more pronounced over time, B = .54, t(88) = 2.35, p = .021, ΔR2 = .061.
“The effect of the intervention manipulation on concern also grew more pronounced over time, B = .54, t(88) = 2.35, p = .021, ΔR2 = .061.”
Quote in the paperNot a substantial claim - Findingown data
90% of the sample had a pro-White bias on the Black-White IAT.
“Because 90% of our sample had a pro-White bias on the Black–White IAT”
Quote in the paperNot a substantial claim - Findingown data
Increases in concern observed in the intervention group did not predict decreases in implicit race bias, B = -.033, t(88) = -.60, p = .55, ΔR2 = .005.
“We explored whether the increases in concern observed in the intervention group predicted the decreases in implicit race bias, but this was not the case, B = -.033, t(88) = -.60, p = .55, ΔR2 = .005”
Quote in the paperNot a substantial claim - Findingown data
The interactive effect of condition and concern on implicit bias did not differ significantly between week 4 and week 8.
“This effect remained from week 4 to week 8, B = -.043, t(86) = -.082, p = .94, ΔR2 = .002”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
The effect of the intervention on discrepancies was not systematically different at week 4 and week 8.
“The effect of the intervention on discrepancies was not systematically different at week 4 and week 8, B = -.067, t(88) = -.37, p = .72, ΔR2 = .004”
Quote in the paperNot a substantial claim - Findingown data
Participants in the intervention group increased in how much they predicted they would respond with bias in intergroup situations (woulds) following the intervention manipulation.
“participants in the intervention group increased in how much they predicted they would respond with bias in intergroup situations (woulds) following the intervention manipulation, B = .29, t(88) = 1.93, p = .057, ΔR2 = .026.”
Quote in the paperSubstantial claim - Findingown data
Participants in the control group had a constant level of concern throughout the duration of the study, B = -.044, t(89) = -.22, p = .83, d = -.030.
“participants in the control group had a constant level of concern throughout the duration of the study, B = -.044, t(89) = -.22, p = .83, d = -.030”
Quote in the paperNot a substantial claim - Findingown data
None of the explicit measures taken at baseline moderated the effect of the intervention on implicit bias.
“Somewhat surprisingly, none of the explicit measures taken at baseline moderated the effect of the intervention on implicit bias, all ps ≥ .15.”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
The effect of likelihood on implicit race bias was not systematically different between week 4 and week 8.
“an effect that was not systematically different between week 4 and week 8, B = -.050, t(50) = -.69, p = .50, ΔR2 = .014.”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
Likelihood and week 2 implementation-related word stem use jointly accounted for 23% of the variance in week 4 implicit bias.
“Likelihood and week 2 implementation-related word stem use jointly accounted for fully 23% of the variance in week 4 implicit bias.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
- Findingown data
More frequent use of implementation-related word stems at week 2 predicted reduced implicit bias at week 4.
“The only significant effect to emerge from these analyses was that more frequent use of implementation-related word stems at week 2 predicted reduced implicit bias at week 4, B = -.068, t(50) = -2.47, p = .017, ΔR2 = .11, all other ps > .21.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
- Findingown data
The intervention led to increases in personal awareness of bias over the duration of the study.
“The intervention also led to increases in concern about discrimination and personal awareness of bias over the duration of the study.”
Quote in the paperNot a substantial claim - Findingown data
Word stem usage at week 2 did not predict implicit bias at week 8.
“The fact that word stem usage at week 2 did not predict implicit bias at week 8”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
- Findingreasoning
The effect of the intervention on concern grew more pronounced over time.
“The effect of the intervention on concern also grew more pronounced over time”
Quote in the paperNot a substantial claim - Findingown data
Standards for responding towards Black people (shoulds) remained unchanged in the intervention group relative to the control group.
“although the standards for responding towards Black people (shoulds) remained unchanged in the intervention group relative to the control group, B = -.095, t(88) = -.93, p = .36, ΔR2 = .005”
Quote in the paperSubstantial claim - Findingown data
When used to simultaneously predict week 4 implicit bias, both likelihood and implementation-related word use were related to decreased implicit bias.
“When used to simultaneously predict week 4 implicit bias, both likelihood and implementation-related word use were related to decreased implicit bias, B = -.13, t(49) = -2.40, p = .028, ΔR2 = .12, and B = -.068, t(49) = -2.66, p = .012, ΔR2 = .11, respectively.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
- Findingown data
The effects of the intervention on implicit race bias at 4 and 8 weeks were not systematically different from each other, B = .091, t(88) = .82, p = .42, ΔR2 = .008.
“the effects of the intervention on implicit race bias at 4 and 8 weeks were not systematically different from each other, B = .091, t(88) = .82, p = .42, ΔR2 = .008”
Quote in the paperSubstantial claim - Findingown data
Compared to control group participants, intervention group participants reported greater discrepancies between their shoulds and woulds following the intervention.
“Compared to control group participants, intervention group participants reported greater discrepancies between their shoulds and woulds following the intervention, B = .38, t(88) = 2.31, p = .024, ΔR2 = .047.”
Quote in the paperSubstantial claim - Findingown data
The intervention led to increases in concern about discrimination over the duration of the study.
“The intervention also led to increases in concern about discrimination and personal awareness of bias over the duration of the study.”
Quote in the paperNot a substantial claim - Findingown data
Likelihood predicted reduction in implicit bias at both week 4 and week 8, even after controlling for all the other strategy measures.
“Likelihood predicted reduction in implicit bias at both week 4 and week 8, even after controlling for all the other strategy measures.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Findingown data
As shown in the control group, feedback about the presence of implicit bias is not sufficient to trigger bias reduction.
“as shown in our control group, feedback about the presence of implicit bias is not sufficient to trigger bias reduction”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Interpretationreasoning
One-shot interventions are unlikely to produce enduring change in the implicit system.
“Thus, because one-shot interventions must counteract a large accretion of associative learning, they are unlikely to produce enduring change in the implicit system.”
Quote in the paperSubstantial claim - Premisecitation
The implicit system only changes in an enduring way after considerable time, effort, and/or intensity of experience.
“the implicit system is highly contextual and only changes in an enduring way after considerable time, effort, and / or intensity of experience.”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Implicit bias is like a habit that can be reduced through a combination of awareness of implicit bias, concern about the effects of that bias, and the application of strategies to reduce bias.
“The intervention is based on the premise that implicit bias is like a habit that can be reduced through a combination of awareness of implicit bias, concern about the effects of that bias, and the application of strategies to reduce bias.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Devine, 1989 source
Not checked in the free run.
- cites Devine & Monteith, 1993
Not checked in the free run.
- Premisecitation
When people who endorse values opposed to prejudice believe they have acted with bias, they are motivated to inhibit the expression of implicit bias by seeking out information and putting effort into tasks they believe would help them break the prejudice habit.
“considerable evidence demonstrates that, when they believe they have acted with bias, people who endorse values opposed to prejudice are motivated to inhibit the expression of implicit bias by seeking out information and putting effort into tasks they believe would help them break the prejudice habit”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
These decreases are large enough to bring someone from the "moderate preference for Whites over Blacks" feedback category (D-score between .35 and .65) down into the "slight preference for Whites over Blacks" feedback category (D-score between .15 and .35).
“These decreases are, for example, large enough to bring someone from the “moderate preference for Whites over Blacks” feedback category (D-score between .35 and .65) down into the “slight preference for Whites over Blacks” feedback category (D-score between .15 and .35).”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Interpretationown data
Reductions in implicit bias that emerged by week 4 following the intervention persisted to week 8.
“Reductions in implicit bias that emerged by week 4 following the intervention persisted to week 8.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Interpretationown data
The results provide evidence for the effectiveness of the multifaceted intervention in promoting enduring reductions in implicit bias.
“Overall, our results provide compelling and encouraging evidence for the effectiveness of our multifaceted intervention in promoting enduring reductions in implicit bias.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Interpretationown data
The decreases in implicit bias and increases in concern were somewhat independent effects of the intervention.
“suggesting that the decreases in implicit bias and increases in concern were somewhat independent effects of the intervention.”
Quote in the paperSubstantial claim - Study design and conductown data
The intervention and control groups did not differ on any of the measures at baseline, all ps ≥ .50.
“The intervention and control groups did not differ on any of the measures at baseline, all ps ≥ .50”
Quote in the paperSubstantial claim - Interpretationown data
The use and practice of strategies in the period immediately following the intervention is particularly important to initial bias reduction.
“This suggests that the use and practice of strategies in the period immediately following the intervention is particularly important to initial bias reduction.”
Quote in the paperSubstantial claim- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
- Study design and conductown data
The interaction between condition and concern remained significant when controlling for all the other explicit measures.
“The interaction remained significant when controlling for all the other explicit measures, B = -.14, t(82) = -2.31, p = .024, ΔR2 = .049.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Interpretationown data
People high in concern about discrimination at week 2 retained the reductions in IAT bias 8 weeks after the intervention.
“indicating that people high in concern about discrimination at week 2 retained the reductions in IAT bias 8 weeks after the intervention.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Interpretationown data
These data provide the first evidence that a controlled, randomized intervention can produce enduring reductions in implicit bias.
“These data provide the first evidence that a controlled, randomized intervention can produce enduring reductions in implicit bias.”
Quote in the paperSubstantial claim - Interpretationown data
The reduction in implicit race bias persisted throughout the 8-week interval.
“indicating that the reduction in implicit race bias persisted throughout the 8-week interval.”
Quote in the paperSubstantial claim - Interpretationreasoning
This study is the first to produce long-term change in implicit bias using a randomized, controlled design.
“our study is the first to our knowledge to produce long-term change in implicit bias using a randomized, controlled design.”
Quote in the paperSubstantial claim - Interpretationown data
The intervention generates intentions to use the strategies that are crucial to the maintenance of the bias-reducing process.
“This suggests that the intervention generates intentions to use the strategies that are crucial to the maintenance of the bias-reducing process.”
Quote in the paperSubstantial claim - Premisecitation
Such enduring reductions in implicit bias following a bias reduction intervention are unprecedented in the literature.
“Such enduring reductions in implicit bias following a bias reduction intervention are unprecedented in the literature (Paluck & Green, 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Paluck & Green, 2009 source
Not checked in the free run.
- Interpretationown data
The factors involved in initial strategy deployment are different from the factors involved in the maintenance of decreased implicit bias.
“suggests that the factors involved in initial strategy deployment are different from the factors involved in the maintenance of decreased implicit bias.”
Quote in the paperSubstantial claim- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
- Interpretationown data
The intervention had a lasting effect on one measure of implicit race bias.
“The intervention had a lasting effect on one measure of implicit race bias.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Interpretationown data
Our data provide evidence demonstrating the power of the conscious mind to intentionally deploy strategies to overcome implicit bias.
“Our data provide evidence demonstrating the power of the conscious mind to intentionally deploy strategies to overcome implicit bias.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
- The quote only partly states this claim. 3
- May combine two claims. 24
- Classified as probably not a substantial claim. 10
The quote only partly states this claim.
Findingown dataPeople who reported using the strategies showed the greatest reductions in implicit race bias.
“People who were concerned about discrimination or who reported using the strategies showed the greatest reductions.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPerceived difficulty of implementing the strategies and willingness to use the strategies did not emerge as predictors of reduced bias.
“Perceived difficulty of implementing the strategies and willingness to use the strategies did not emerge as predictors of reduced bias, ps > .23.”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
The quote only partly states this claim.
Findingown dataPerceived effectiveness emerged as a predictor of lower implicit race bias.
“as did perceived effectiveness, B = -.12, t(50) = -1.86, p = .069, ΔR2 = .063.”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
May combine two claims.
Findingown dataThe intervention simultaneously increased self-reported concern about discrimination and prejudice-relevant discrepancies.
“Another encouraging finding was the simultaneous effect of the intervention on increasing people’s self-reported concern about discrimination and prejudice-relevant discrepancies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataLikelihood and use of implementation-related word stems were almost entirely independent of each other.
“We also tested whether likelihood was related to use of implementation-related word stems, but, in fact, these two variables were almost entirely independent of each other, r = .027.”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
May combine two claims.
Findingown dataPerceived opportunities was highly correlated with likelihood, and perceived effectiveness was also correlated with likelihood.
“Perceived opportunities was, however, highly correlated with likelihood, r = .76, as was effectiveness, r = .40”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe interactive effect of condition and concern was entirely driven by a robust relationship between concern and implicit bias in the intervention condition, a relationship that was entirely absent in the control condition.
“The interactive effect of condition and concern was entirely driven by a robust relationship between concern and implicit bias in the intervention condition, B = -.16, t(86) = -2.90, p = .009, ΔR2 = .12, a relationship that was entirely absent in the control condition, B = .028, t(86) = .55, p = .59, ΔR2 = .005.”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
May combine two claims.
Findingown dataThe intervention manipulation created no changes in participants' reported racial attitudes or their internal/external motivations to respond without prejudice (all ps ≥ .53).
“The intervention manipulation created no changes in either the participants’ reported racial attitudes or their internal/external motivations to respond without prejudice (all ps ≥ .53).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCompared to high concern control group participants, the predicted IAT scores of high concern participants in the intervention group were .38 units lower at week 4 and .31 units lower at week 8.
“Compared to high concern control group participants, the predicted IAT scores of high concern participants in the intervention group were .38 units lower at week 4 and .31 units lower at week 8.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
The quote only partly states this claim.
Findingown dataPeople who were concerned about discrimination showed the greatest reductions in implicit race bias.
“People who were concerned about discrimination or who reported using the strategies showed the greatest reductions.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationGeneral dual-process theories suggest that one-shot reductions in implicit bias are likely to be highly contextual and short-lived.
“some general dual-process theories in psychology (e.g., Epstein, 1994; Smith & DeCoster, 2000; Strack & Deutsch, 2004) suggest that such reductions are likely to be highly contextual and short-lived.”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationImplicit race biases are automatically activated and often unintentional, and are major contributors to the perpetuation of discrimination.
“Several theorists have implicated implicit race biases, which are automatically activated and often unintentional, as major contributors to the perpetuation of discrimination”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Devine, 1989 source
Not checked in the free run.
- cites Fiske, 1998
Not checked in the free run.
- cites Gaertner & Dovidio, 1986
Not checked in the free run.
May combine two claims.
PremisecitationImplicit biases are linked to discriminatory outcomes ranging from poorer quality interactions to constrained employment opportunities and a decreased likelihood of receiving life-saving emergency medical treatments.
“accumulating evidence reveals that implicit biases are linked to discriminatory outcomes ranging from the seemingly mundane, such as poorer quality interactions (McConnell & Leibold, 2001), to the obviously consequential, such as constrained employment opportunities (Bertrand & Malainathan, 2004) and a decreased likelihood of receiving life-saving emergency medical treatments (Green et al., 2007).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites McConnell & Leibold, 2001
Not checked in the free run.
- cites Bertrand & Malainathan, 2004
Not checked in the free run.
- cites Green et al., 2007 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationImplicit biases persist and are powerful determinants of behavior because people lack personal awareness of them and they can occur despite conscious nonprejudiced attitudes or intentions.
“Many theorists argue that implicit biases persist and are powerful determinants of behavior precisely because people lack personal awareness of them and they can occur despite conscious nonprejudiced attitudes or intentions”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Bargh, 1999
Not checked in the free run.
- cites Devine, 1989 source
Not checked in the free run.
- cites Gaertner & Dovidio, 1986
Not checked in the free run.
May combine two claims.
PremisecitationEasy-to-implement strategies such as taking the perspective of stigmatized others and imagining counter-stereotypic examples lead to substantial reductions in implicit bias, at least for a short time (up to 24 hours).
“These efforts have yielded a number of easy-to-implement strategies, such as taking the perspective of stigmatized others (Galinsky & Moskowitz, 2000) and imagining counter-stereotypic examples (Blair, Ma, & Lenton, 2001; Dasgupta & Greenwald, 2001), that lead to substantial reductions in implicit bias, at least for a short time (i.e., up to 24 hours).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Galinsky & Moskowitz, 2000
Not checked in the free run.
- cites Blair, Ma, & Lenton, 2001
Not checked in the free run.
- cites Dasgupta & Greenwald, 2001
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
PremisecitationOvercoming prejudice is a protracted process that requires considerable effort in the pursuit of a nonprejudiced goal.
“Devine’s habit-breaking analysis of prejudice reduction, which argues that overcoming prejudice is a protracted process that requires considerable effort in the pursuit of a nonprejudiced goal”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationBlack people face continuing discrimination and have more adverse outcomes than White people across a variety of domains related to success and well-being.
“widespread evidence suggests that Black people face continuing discrimination and have more adverse outcomes than White people across a variety of domains related to success and well-being”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Bertrand & Malainathan, 2004
Not checked in the free run.
- cites Bradford, Newkirk, & Holden, 2009
Not checked in the free run.
- cites Mitchell, Haw, Pfeiffer, & Meissner, 2005
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe findings provide an important demonstration that an intervention can engage the long-term regulation of implicit bias, as well as preliminary evidence that the regulation occurs through the use of strategies.
“we believe that our findings provide an important demonstration that an intervention can engage the long-term regulation of implicit bias, as well as some preliminary evidence that the regulation occurs through the use of strategies.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
May combine two claims.
InterpretationreasoningThe intervention seems to increase both personal awareness of one's bias and a general concern about discrimination in society.
“The intervention thus seems to increase both personal awareness of one’s bias and a general concern about discrimination in society.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataAttrition rates were low, never exceeding 10% at any time point.
“Attrition rates were low, never exceeding 10% at any time point.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningWeek 2 concern, and not baseline concern, moderated the effect of the intervention, suggesting that concern is not important when bias-reducing strategies are learned, but that it is important afterwards, when people become aware of personal or societal expressions of bias and must translate their knowledge of bias-reducing strategies into action.
“Given that week 2 concern, and not baseline concern, moderated the effect of the intervention, this finding also suggests that concern is not important when bias-reducing strategies are learned, but that it is important afterwards, when people become aware of personal or societal expressions of bias and must translate their knowledge of bias-reducing strategies into action.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe motivation to break the prejudice habit stems from two sources: awareness of one's biases and concern about the consequences of one's biases.
“Devine and colleagues (Devine & Monteith, 1993; Plant & Devine, 2009) argue that the motivation to break the prejudice habit stems from two sources. First, people must be aware of their biases and, second, they must be concerned about the consequences of their biases before they will be motivated to exert effort to eliminate them.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Devine & Monteith, 1993
Not checked in the free run.
- cites Plant & Devine, 2009
Not checked in the free run.
May combine two claims.
Interpretationown dataTo have a reduction in implicit race bias, participants had not only to perceive opportunities to implement the strategies and view the strategies as effective, but also to believe that they were likely to use them.
“Thus, to have a reduction in implicit race bias, it appears that participants had not only to perceive opportunities to implement the strategies and view the strategies as effective, but also to believe that they were likely to use them.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
PremisecitationPeople need to know when biased responses are likely to occur and how to replace those biased responses with responses more consistent with their goals.
“Furthermore, people need to know when biased responses are likely to occur and how to replace those biased responses with responses more consistent with their goals.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationWhen people who endorse values opposed to prejudice act with prejudice, they experience guilt, which instigates self-regulatory efforts to disrupt automatic bias and prevent future expressions of bias.
“when these people act with prejudice, they experience guilt (Devine et al., 1991), which instigates self-regulatory efforts to disrupt automatic bias and prevent future expressions of bias”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationThe Black-White IAT has good psychometric properties and is linked to basic neural and affective processes relevant to implicit race bias.
“The IAT is a dual-categorization task that has good psychometric properties (Cunningham, Preacher, & Banaji, 2001; Hofmann et al., 2005) and is linked to basic neural and affective processes relevant to implicit race bias (Cunningham, Raye, & Johnson, 2004; Phelps et al., 2000).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationIn intergroup contexts, the IAT is a strong predictor of discriminatory behavior and a better predictor than parallel explicit measures.
“in intergroup contexts, the IAT is a strong predictor of discriminatory behavior and a better predictor than parallel explicit measures (Greenwald, Poehlman, Uhlmann, & Banaji, 2009; but see Blanton et al., 2009 for an opposing view).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Greenwald, Poehlman, Uhlmann, & Banaji, 2009 source
Not checked in the free run.
May combine two claims.
PremisecitationPerspective taking increases psychological closeness to the stigmatized group, which ameliorates automatic group-based evaluations.
“Perspective taking increases psychological closeness to the stigmatized group, which ameliorates automatic group-based evaluations (Galinsky & Moskowitz, 2000).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Galinsky & Moskowitz, 2000
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataAttrition rates did not vary across condition at any time point, all ps > .23.
“attrition rates did not vary across condition at any time point, all ps > .23”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe intervention caused people to become more aware of their personal bias, while leaving people's standards for behavior in prejudice-relevant situations unchanged.
“As a set, the analyses on shoulds, woulds, and prejudice-relevant discrepancies suggest that the intervention caused people to become more aware of their personal bias, while leaving people’s standards for behavior in prejudice-relevant situations unchanged.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIncreased contact can ameliorate implicit bias through a wide variety of mechanisms, including altering the cognitive representations of the group or by directly improving evaluations of the group.
“Increased contact can ameliorate implicit bias through a wide variety of mechanisms, including altering the cognitive representations of the group or by directly improving evaluations of the group (Pettigrew, 1998; Pettigrew & Tropp, 2006).”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
Study design and conductown dataParticipants were randomly assigned to either a control condition (n = 38) or an intervention condition (n = 53).
“Participants were randomly assigned to either a control condition (n = 38) or an intervention condition (n = 53)”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe word frequency and likelihood findings, combined with the findings about change in implicit bias, personal awareness, and concern, support the prejudice habit model and other dual-process models that identify effort as necessary for implicit bias reduction.
“The word frequency and likelihood findings, combined with the findings about change in implicit bias, personal awareness, and concern, support the prejudice habit model and other dual-process models that identify effort as necessary for implicit bias reduction (Devine, 1989; Devine & Monteith, 1993; Smith & DeCoster, 2000; Strack & Deutsch, 2004).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Devine, 1989 source
Not checked in the free run.
- cites Devine & Monteith, 1993
Not checked in the free run.
- cites Smith & DeCoster, 2000
Not checked in the free run.
- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
- Rests on an assumption: Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
May combine two claims.
Interpretationown dataThis study presents the first intervention of its kind, one that, using a randomized controlled design, produces a reduction in implicit race bias that endures for at least two months.
“In sum, this study presents the first intervention of its kind, one that, using a randomized controlled design, produces a reduction in implicit race bias that endures for at least two months.”
Quote in the paperSubstantial claim- Rests on an assumption: The IAT D-score is a valid measure of implicit race bias.
The authors state this as an assumption.
In the Black-White IAT, to the extent that negative valence is associated with Black people and positive valence with White people, compatible trials are easier than incompatible trials.
“Underlying the race IAT is the assumption that, to the extent that negative valence is associated with Black people (and positive valence with White people), when Black faces and unpleasant words (and White faces and pleasant words) are paired together on the same response key (compatible trials), the task should be easier than with the reverse pairings (incompatible trials).”
The paper relies on this without support.
Extant research has not yet examined whether interventions can produce long-term implicit bias reductions, nor clearly specified the type of effort required to yield such reductions.
“Although this evidence is consistent with the prejudice habit-breaking framework, extant research has not yet examined whether interventions can produce long-term implicit bias reductions, nor has it clearly specified the type of effort required to yield such reductions.”
The paper relies on this without support.
The IAT D-score is a valid measure of implicit race bias.
“The intervention had a lasting effect on one measure of implicit race bias.”
“indicating that people high in concern about discrimination at week 2 retained the reductions in IAT bias 8 weeks after the intervention.”
The paper relies on this without support.
Participants’ free-response descriptions of strategy use accurately reflect their actual use of strategies.
“Participants’ descriptions of their strategy use were rich and complex.”
“we used a text mining approach to calculate frequencies of theoretically important word stems in the descriptions.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Non-black adults could be motivated to increase their awareness of racial bias, their concerns about the effects of such bias and their willingness to implement strategies to reduce such bias.
“One study of university students documented that non-black adults could be motivated to increase their awareness of racial bias, their concerns about the effects of such bias and their willingness to implement strategies to reduce such bias [77].”
From Reducing Racial Inequities in Health: Using What We Already Know to Take Action (2019) · cites this paper as [77]
Implicit biases can be viewed as deeply engrained habits that can be replaced by learning multiple new prejudice-reducing strategies including stereotype replacement, counter-stereotype imaging, individuation, perspective taking and increasing interracial contact.
“These researchers viewed implicit biases as deeply engrained habits that can be replaced by learning multiple new prejudice-reducing strategies including stereotype replacement, counter-stereotype imaging, individuation, perspective taking and increasing interracial contact.”
From Reducing Racial Inequities in Health: Using What We Already Know to Take Action (2019) · cites this paper as [77]
These strategies reduced bias in participants and the effect remained evident three months later.
“The study found that these strategies reduced bias in participants and that this effect remained evident three months later.”
From Reducing Racial Inequities in Health: Using What We Already Know to Take Action (2019) · cites this paper as [77]
Statistics that don’t add up
Each reported p-value recomputed from its test statistic and degrees of freedom.
Inconsistent p-value across alpha = .05: t(48) = -2.03, p = .051
MajorThe paper reports p = .051 here; recomputing from the test statistic and its degrees of freedom gives p = .048 (two-tailed). The two fall on opposite sides of alpha = .05. The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .051 · recomputed p = .048
“t(48) = -2.03, p = .051”
Inconsistent p-value: t(86) = -2.90, p = .009
MinorThe paper reports p = .009 here; recomputing from the test statistic and its degrees of freedom gives p = .005 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .009 · recomputed p = .005
“t(86) = -2.90, p = .009”
Inconsistent p-value: t(89) = 2.10, p = .042
MinorThe paper reports p = .042 here; recomputing from the test statistic and its degrees of freedom gives p = .039 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .042 · recomputed p = .039
“t(89) = 2.10, p = .042”
Inconsistent p-value: t(50) = -2.40, p = .021
MinorThe paper reports p = .021 here; recomputing from the test statistic and its degrees of freedom gives p = .020 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .021 · recomputed p = .020
“t(50) = -2.40, p = .021”
Inconsistent p-value: t(49) = -2.66, p = .012
MinorThe paper reports p = .012 here; recomputing from the test statistic and its degrees of freedom gives p = .011 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .012 · recomputed p = .011
“t(49) = -2.66, p = .012”
Inconsistent p-value: t(49) = -2.40, p = .028
MinorThe paper reports p = .028 here; recomputing from the test statistic and its degrees of freedom gives p = .020 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .028 · recomputed p = .020
“t(49) = -2.40, p = .028”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Doesn’t add upt(48) = -2.03reported p = .051 · recomputed p = .048The two fall on opposite sides of .05
“t(48) = -2.03, p = .051”
- Doesn’t add upt(89) = 2.1reported p = .042 · recomputed p = .039
“t(89) = 2.10, p = .042”
- Doesn’t add upt(86) = -2.9reported p = .009 · recomputed p = .005
“t(86) = -2.90, p = .009”
- Doesn’t add upt(50) = -2.4reported p = .021 · recomputed p = .020
“t(50) = -2.40, p = .021”
- Doesn’t add upt(49) = -2.4reported p = .028 · recomputed p = .020
“t(49) = -2.40, p = .028”
- Doesn’t add upt(49) = -2.66reported p = .012 · recomputed p = .011
“t(49) = -2.66, p = .012”
- Consistentt(88) = -2.82reported p = .006 · recomputed p = .006
“t(88) = -2.82, p = .006”
- Consistentt(88) = 0.82reported p = .42 · recomputed p = .414
“t(88) = .82, p = .42”
- Consistentt(88) = 2.24reported p = .028 · recomputed p = .028
“t(88) = 2.24, p = .028”
- Consistentt(89) = -0.22reported p = .83 · recomputed p = .826
“t(89) = -.22, p = .83”
- Consistentt(88) = 2.35reported p = .021 · recomputed p = .021
“t(88) = 2.35, p = .021”
- Consistentt(88) = -0.6reported p = .55 · recomputed p = .550
“t(88) = -.60, p = .55”
- Consistentt(88) = 2.31reported p = .024 · recomputed p = .023
“t(88) = 2.31, p = .024”
- Consistentt(88) = -0.93reported p = .36 · recomputed p = .355
“t(88) = -.93, p = .36”
- Consistentt(88) = 1.93reported p = .057 · recomputed p = .057
“t(88) = 1.93, p = .057”
- Consistentt(88) = -0.67reported p = .5 · recomputed p = .505
“t(88) = -.67, p = .50”
- Consistentt(88) = -0.37reported p = .72 · recomputed p = .712
“t(88) = -.37, p = .72”
- Consistentt(86) = -2.46reported p = .016 · recomputed p = .016
“t(86) = -2.46, p = .016”
- Consistentt(86) = -0.082reported p = .94 · recomputed p = .935
“t(86) = -.082, p = .94”
- Consistentt(86) = 0.55reported p = .59 · recomputed p = .584
“t(86) = .55, p = .59”
- Consistentt(82) = -2.31reported p = .024 · recomputed p = .023
“t(82) = -2.31, p = .024”
- Consistentt(50) = -3.18reported p = .003 · recomputed p = .003
“t(50) = -3.18, p = .003”
- Consistentt(50) = -0.69reported p = .5 · recomputed p = .493
“t(50) = -.69, p = .50”
- Consistentt(50) = -1.86reported p = .069 · recomputed p = .069
“t(50) = -1.86, p = .069”
- Consistentt(50) = -2.47reported p = .017 · recomputed p = .017
“t(50) = -2.47, p = .017”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
The number of strategies changes from five to six
MinorThe training section says participants were taught five strategies, but the strategy-measures section says responses were averaged across six techniques.
“The participants’ responses to each item for all six techniques were averaged”
“The training section provided participants with a list of five strategies culled from the literature and adapted for the intervention”
Discrepancies are attributed to the wrong assessment weeks
MinorThe methods place the post-intervention explicit assessments, which include prejudice-relevant discrepancies, at weeks 2 and 6. The results instead describe the discrepancy effect at weeks 4 and 8, when the IAT was assessed.
“The effect of the intervention on discrepancies was not systematically different at week 4 and week 8, B = -.067, t(88) = -.37, p = .72, ΔR2 = .004”
“The explicit measures were also administered at three time points: 4 weeks prior to the manipulation in a classroom setting (baseline) and 2 and 6 weeks after the manipulation via email.”
Baseline racial-attitudes mean exceeds the scale maximum
MinorThe Attitudes Towards Blacks items are scored from 1 to 7 and averaged, so the reported baseline mean of 7.57 is impossible on the stated scale.
“baseline M = 7.57, SD = .68, skew = -.53, α = .82”
“The ATB has 20 items, each assessed on a 1 (strongly disagree) to 7 (strongly agree) scale. Responses to the items are averaged together”
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“Devine, Forscher, Austin, and Cox (2012) developed a two-step intervention for college undergraduates in which, after making the participants aware of their implicit prejudice toward African Americans through IAT feedback, they instructed participants in the use of stereo-type-replacement thinking,…”
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Women in Leadership and Their Influence on the Gender Diversity of Academic Plastic Surgery Programs
Keane, A. M., Larson, E. L., Santosa, K. B., Vannucci, B., Waljee, J. F., Tenenbaum, M. M. J., Mackinnon, S. E., & Snyder‐Warwick, A. K. (2021) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000007681 · Cited by 117 · see citing works
Examining ways to meaningfully support students in STEM
Martin‐Hansen, L. (2018) · International Journal of STEM Education · doi:10.1186/s40594-018-0150-3 · Cited by 115 · see citing works
Understanding and Overcoming Implicit Gender Bias in Plastic Surgery
Phillips, N. A., Tannan, S. C., & Kalliainen, L. K. (2016) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000002668 · Cited by 113 · see citing works
Examining Racial Bias in Education
Warikoo, N., Sinclair, S., Fei, J., & Jacoby-Senghor, D. S. (2016) · Educational Researcher · doi:10.3102/0013189x16683408 · Cited by 47 · see citing works
Gender and the evaluation of humor at work.
Evans, J. B., Slaughter, J. E., Ellis, A. P. J., & Rivin, J. M. (2019) · Journal of Applied Psychology · doi:10.1037/apl0000395 · Cited by 111 · see citing works
Engel, R. S., Corsaro, N., Isaza, G. T., & McManus, H. D. (2022) · Criminology & Public Policy · doi:10.1111/1745-9133.12574 · Cited by 107 · see citing works
“Little is known about the most effective schedule for de-escalation training to produce desired behavioral effects, but research in other fields points to the benefits of longer training duration and repeated practice (Devine et al., 2012; Kang, 2016).”
Improving equity, diversity, and inclusion in academia
Dewidar, O., Elmestekawy, N., & Welch, V. A. (2022) · Research Integrity and Peer Review · doi:10.1186/s41073-022-00123-z · Cited by 107 · see citing works
Facing one’s implicit biases: From awareness to acknowledgment.
(2018) · doi:10.1037/pspi0000155 · Cited by 107 · see citing works
Why is John More Likely to Become Department Chair Than Jennifer?
Carnes, M. L., Bartels, C. M., Kaatz, A., & Kolehmainen, C. J. (2015) · Europe PMC (PubMed Central) · Cited by 106 · see citing works
- Authors
- Devine, P. G., Forscher, P. S., Austin, A. J., & Cox, W. T. L.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Devine, Patricia G.
- Venue
- Journal of Experimental Social Psychology
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 48
- Issue
- 6
- Pages
- 1267-1278
- ISSN
- 0022-1031 (ISSN-L)
- PMC
- PMC3603687
- OpenAlex
- W2025640120
- Semantic Scholar
- 6d2d8282627bfcaf933e3d68d3e9c170b75f2f1f
- Cited by
- 1,259
- References
- 69
- Citations by year
- 2026: 82 · 2025: 140 · 2024: 111 · 2023: 104 · 2022: 136 · 2021: 127 · 2020: 155 · 2019: 112 · 2018: 90 · 2017: 70 · 2016: 53 · 2015: 37 · 2014: 26 · 2013: 13 · 2012: 1
- FWCI
- 81.23
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of Experimental Social Psychology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Journal of the Arkansas Academy of Science (submittedVersion, cc-by-nd)
- Funders
- National Institutes of Health (R01 GM088477)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Keywords
- prejudice reduction, unintentional discrimination, long-term intervention effects
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
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