Educating the Public on Evidence-based methods for improving inter-group civility.

Send us Your Academic Papers on Civil Intergroup Relations

Civil Politics exists to help educate the public on evidence based methods to improve inter-group relations, especially those intractable conflicts that have a moral dimension to them, such as the partisanship that paralyzes US politics.  Part of this effort involves compiling all of the existing evidence that may exist in this domain, so that we can more authoritatively bring this evidence to others who are doing the work on the ground.

Evidence can include many things.  It certainly includes empirical research, both in its published and unpublished form.  It includes examples from the news that echo this research, where people talk about what does or does not lead them toward more or less cooperation vs. animosity across groups.  It includes both the empirical study of the effects of programs that focus on improving inter-group dialogue, as well as the lessons that those who run those programs have learned through years of practice.    The basis of psychometrics and crowdsourcing is the aggregation of results across methods, each of which has it’s own sources of error, with the hope that convergent evidence is reached across methods.  It is the same reason that we want to ask multiple people, ideally with diverse tastes, before passing judgment on a new restaurant or movie, and we hope to bring the same thoughtfulness to the evidence that we present on improving intergroup relations.  The links in this paragraph are examples of how we support the collection and dissemination of each of these types of evidence.

We are currently working on projects that aim to be more systematic about evidence in each of these categories and we could use your help.  Specifically, if you know of academic research that provides evidence for the role of specific variables in increasing or decreasing inter-group civility, please do use this form to provide us with details.  Before adding any specific papers, you can use this link to check what has already been added to the database.  Questions and comments welcome (email me at ravi at civilpolitics dt org) and feel free to provide as much information as you have, even just filling in the first part about specific papers, as we can have others fill in the rest of the information.

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A group of USC students working on CivilPolitics’ academic database.

Please do feel free to forward this blog post to anyone who does research bearing on this question or who knows of such research.  We are also happy to acknowledge your contribution publicly and/or to provide rewards to students who contribute to this project (e.g. travel support to academic conferences) to both incentivize participation and hopefully encourage their interest in this domain.  Thank you for your interest and consideration.

In summary:

– Ravi Iyer

 

 

 

 

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“In-Group Love” without “Out-Group Hate”

“In-Group Love” without “Out-Group Hate”

        Two types of economic games were introduced: the Intergroup Prisoner’s Dilemma game (IPD) and the Intergroup Prisoner’s Dilemma-Maximizing Difference game (IPD-MD). In the IPD game participants allocated tokens between a pool for themselves and a between-group pool (pool B). In the IPD-MD game participants allocated tokens among a pool for themselves, pool B and a within-group pool (pool W). As shown in the pay-off matrices below, a token allocated in pool B will benefit everyone in the group and harm the other group while a token allocated in pool W will benefit everyone in the group without harming the other group. The optimal strategy for individual would be keeping all tokens for themselves. In the IPD game, the optimal strategy for the group would be putting all tokens in pool B. However, if the other group do the same, both groups will gain nothing. In the IPD-MD game contributing to pool W makes a group gain without intergroup competition, but there is no guarantee the other group would do the same.

IPD-MD Payoff Matrix

IPD payoff matrix

1. What They Did – Intervention Summary:

       Participants were randomly assigned to two conditions. In the IPD-MD condition participants played IPD-MD game for 60 rounds. In the IPD condition participants played IPD game for 30 rounds and then IPD-MD game for another 30 rounds. All decisions were made in private using a computer. Participants played in a group of 3 against another group of 3.  Group composition and group matching were kept constant throughout the study. At the end of the study participants were paid for every points they earned.

 2. What They Found – Results:

       For the IPD-MD condition, as can be seen in the picture below, participants contributed on average 31.54% of their endowment to pool W, as compared with only 5.25% to pool B. The rest of the endowment (63.20%) was kept for private use. For the IPD condition, in the first (IPD) part of the interaction, the rate of contribution to pool B was 26.50%. In the second (IPD-MD) part, despite the competition in the first part, the contribution rate to pool B dropped to 5.72%. The present experiment established that out-group hate does not evolve spontaneously in interaction between randomly composed groups, not even after a period of intergroup conflict.

IPD

 3. Who Was Studied – Sample:

Undergraduate Students

 4. Study Name:

Halevy et al., 2012

 5. Citation:

Halevy, N., Weisel, O., & Bornstein, G. (2012). “In‐Group Love” and “Out‐Group Hate” in Repeated Interaction Between Groups. Journal of Behavioral Decision Making, 25(2), 188-195.

 6. Link:

http://www.econ.mpg.de/files/2012/staff/Weisel_JBDM_2011.pdf

 7. Intervention categories:

An opportunity to show ingroup love without outgroup hate

 8. Sample size:

144

 9. Central Reported Statistic:

In the IPD condition, a repeated measure ANOVA with block as a within-subject variable and contribution to pool B as the dependent variable found a highly significant block effect (F(3,33)=25.80, p<.001).

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Effect of Explanation on Understanding and Position Extremity

1. What They Did-Summary:

This study primarily focused on the effects that explaining one’s position on policy can have on feelings of understanding and position extremity.  198 participants were split into two groups.  One group was asked to rate their support or opposition to six different political policies such as instituting a flat tax or instituting a single-payer health care system.  Next, the participants were asked to rate their understanding of these policies.  Afterwards, they were asked to provide a mechanistic explanation for how two of these policies (chosen at random) work.  Lastly, the first group of participants were asked again to rate their position on and understanding of the issues.  The second group differed from the first in that they were only asked to rate their position on and understanding of the issues after they had provided an explanation of the policies.

The researchers predicted that people who hold extreme positions are under the illusion that they know more about policies than they really do.  Thereby, by having the participants explain how these policies work, they should realize this illusion of understanding and shift to a more moderate viewpoint.

2. What They Found-Results:

The researchers found a significant decrease in ratings of understanding following explanations.  They also found that people’s positions on the issues became significantly more moderate following explanations.  These findings confirmed the researchers’ predictions.

3. Who Was Studied-Sample:

198 U.S. residents recruited using MTurk, 52% male, 48% female.  40% Democrat, 20% Republican, 36% independent, 4% other.

4. Study Name:

Fernbach et al. 2013, Study 1.

5. Citation:

Fernbach, P.,  Rogers, T., Fox, C., and Sloman, S. “Political Extremism Is Supported by an Illusion of Understanding.” Psychological Science (2013): 1-8.

6. Link:

http://pss.sagepub.com/content/early/2013/04/24/0956797612464058

7. Intervention Categories:

mechanistic explanation, MTurk, judgment timing

8. Sample Size:

198

9. Central Reported Statistic:

Understanding: “This prediction was confirmed by a significant main effect of judgment timing: Postexplanation ratings of understanding (M = 3.45, SE = 0.12) were lower than preexplanation ratings (M = 3.82, SE = 0.11), F(1, 197) = 34.69, p < .001, ηp2 = .15.”

Position Extremity: “This prediction was confirmed, with the main effect of judgment timing significant (preexplanation-rating conditions: M = 1.41, SE = 0.07; postexplanation-rating conditions: M = 1.28, SE = 0.08), F(1, 86) = 6.10, p = .016, ηp2 = .066.”

10. Effect Size:

Understanding: t(5) = 5.74, p < .01.

Position Extremity: t(5) = 3.93, p = .011.

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Political Discrimination as Normative as Racial Divisions once were

Once upon a time, it was socially normative for society to divide itself along racial lines.  Thankfully, that time has passed and while racism still exists, it is generally considered to be a bad thing by most people in society.  The same trajectory is occurring with respect to attitudes toward homosexuals, with increased acceptance being not only encouraged, but mandated as the right thing to do.  However, in many circles, it remains normative for individuals to discriminate against those with the opposite political views.  Recent research indicates that this occurs amongst both parties.

Despite ample research linking conservatism to discrimination and liberalism to tolerance, both groups may discriminate. In two studies, we investigated whether conservatives and liberals support discrimination against value violators, and whether liberals’ and conservatives’ values distinctly affect discrimination. Results demonstrated that liberals and conservatives supported discrimination against ideologically dissimilar groups, an effect mediated by perceptions of value violations. Liberals were more likely than conservatives to espouse egalitarianism and universalism, which attenuated their discrimination; whereas the conservatives’ value of traditionalism predicted more discrimination, and their value of self-reliance predicted less discrimination. This suggests liberals and conservatives are equally likely to discriminate against value violators, but liberal values may ameliorate discrimination more than conservative values.

In addition, recent research out of Stanford University indicates that “hostile feelings for the opposing party are ingrained or automatic in voters’ minds, and that affective polarization based on party is just as strong as polarization based on race.”  Tackling this at the societal level is a daunting task for anyone, but there are things that one can do at the individual level.  Both research and practice indicates that positive relationships between individuals across such divides are likely to ameliorate such feelings.  Mixing group boundaries are likely to make competition less salient as well, perhaps allowing superordinate goals that we all share to come to the fore, as often happens when national emergencies strike.  Just as with discrimination based on race and sexual orientation, discrimination against opposing ideologies can be combated with similar techniques.

– Ravi Iyer

 

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Our goal is to educate the public about social science research on improving inter-group relations across moral divides.