💥New WP: Hate Trumps Love💥
RQ: study behavioral-, belief- & norm-based mechanisms through which perceptions of closeness, altruism & cooperativeness are affected by political polarization under @realDonaldTrump
Rising political polarization is often linked to fractured societies rife with racial inequality, factional conflict & partisan animosity.
In the U.S., many issues yield a surprising partisan divide, think mask wearing (see also recent paper by @spbhanot & @dhopkins1776)
2/11
In multiple pre-registered *behavioral* experiments, I study the perceptional & behavioral consequences of polarization.
In particular, I examine the behavioral-, belief-, and norm-based mechanisms with which this political intergroup conflict materializes.
3/11
I do so in both strategic & non-strategic decision contexts that capture cooperativeness, altruism & anti-social behavior
I examine ingroup-love separately from outgroup-hate by comparing behavior/attitudes in #Trump prime conditions to those in minimal identity conditions
4/11
Importance: understanding how political polarization may affect one's willingness to engage in altruistic behavior and the collective provision of goods within and between factions has direct social welfare implications (e.g., outgroup animosity & dehumanization divide)
5/11
Research questions that this paper tackles (I)
Behavioral:
◆How does polarization affect pro-/anti-social decisions, cooperation, and social expectations?
◆Do these take shape in form of ingroup-love, outgroup-hate, or both simultaneously?
6/11
Research questions that this paper tackles (II)
Perceptional:
◆Are these behavioral differences consistent with observed variations in perceived interpersonal closeness & social #norms?
◆ Can they help explain *why* we observe these differences across political factions?
7/11
3 economic games capture 3 types of settings:
◆Non-strategic: Dictator Game with taking option (List, 2007)
◆Strategic: variants of a Public Goods Game ('ABC of Cooperation' version by Fischbacher, Fehr & Gächter, 2001)
◆'Social': norm elicitation (Krupka & Weber, 2013)
8/11
Some results:
◆Ingroup-love/outgroup-hate is nuanced (former for perceptions, latter for behavior)
◆Polarization is detrimental for cooperation - NOT b/c adverse preferences per se but b/c fallacious beliefs of other's cooperativeness
◆Behaviors map onto norm perceptions
9/11
By and large, the results are not driven by ingroup-outgroup considerations alone. Instead, the observed disparities in perceptions, beliefs & own cooperativeness largely rest on the emotional state that is evoked by political polarization.
The paper unpacks this in detail
10/11
Important policy prescription: observed partisan rift might be not as forlorn as previously suggested.
Adverse behavioral impact of intergroup conflict can be attributed to one's grim expectations about others➡️fix such 'negativity' bias via belief-based interventions.
Last year, we took on the endeavor to be co-editors on a special issue on social norms & behavior change at JEBO.
We were floored by the demand: received 120 submissions & ultimately accepted 22 papers ranging from theory & non-experimental to laboratory & extra-lab experiments
In what follows, I will briefly mention the accepted papers in order of their employed methodology.
If you'd like to get straight into the science, the four of us have compiled the most exciting insights in our editorial piece that you can download here: authors.elsevier.com/a/1g5Vbc24a-egJ
💡New paper (with the fantastic @BellaRen19 & @ME_Schweitzer@Wharton) examining the role of social motives in spreading misinformation/conspiracy theories.
They show how pervasive misinfo spread is & how people reason at the individual level.
3/N
Here, we are interested in the *collective* dimension of misinfo spread. We focus on social motives (e.g., feeling of belongingness, norms etc.) as a motivating mechanism to spread conspiracy theories (CT).
Understanding these social dynamics is important. And challenging.
☢️New @CESifoGroup WP☢️
⦿I quantify impact of political polarization on social preferences via 15(!) incentive-compatible experiments
⦿I also test if #nudging can reduce polarization (it can't)
1st of all, the paper contains many experiments and interventions. After the initial submission of this paper, reviewers asked to not only quantify the detrimental impact of polarization but also test behavioral interventions to alleviate it.
RQ: how do we engage in deviant behavior when social #norms are uncertain?
A: self-serving belief distortion
Paper: bit.ly/2Go0tJk
Thread ⬇
1/
Known:
◈ #Lies are ubiquitous & people often lie for their own benefit or for others (@UriGneezy et al., 2018 AER, Abeler et al., 2019 Ecta)
◈ Reasons (not) to lie: ethical dissonance, image concerns...
--> we take a complementary approach: norm-following considerations
2/
Existing scientific approach to the study of norms:
◈ Clearly define norms and study how individuals react (tradition of @RobertCialdini, @CBicchieri, Fehr & others)
◈ Find: social norms motivate and affect personal decisions, even when they are not in our own self-interest
Governments use substantial resources to keep society safe and punish people for criminal acts. Mass incarceration is both costly and ineffective.
Understanding how to design proper institutions is important from both the social and economic perspective.
A vast literature on criminal deterrence has focused on the relevance of the certainty and severity of punishment in deterring deviant behavior (following the Becker tradition).
We examine a third and understudied element (see HOPE program): celerity (swiftness of punishment)