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Perceiving opponents as self-disclosing bridges partisan divides
Political polarization is driving disconnection and animosity between opponents in the United States. We propose perceiving opponents as self-disclosing helps foster connection and reduce animosity. Building on research demonstrating that self-disclosure fosters interpersonal relationships, we test whether vignettes expressing political views that seem self-disclosing increase connection, respect, and willingness to interact among opponents. Across six studies, we demonstrate self-disclosure reduces partisan animosity by building connection between political opponents. Previous work shows that vignettes about opponents’ personal experiences bridge divides better than fact-based vignettes. The results from the current research suggest this is because experiences are especially self-disclosing. Leveraging this, we find that many statements partisans share can improve connection and reduce animosity when they are perceived as self-disclosing. We test this through manipulating the self-disclosure of statements in experiments and by teaching people how to make their statements more self-disclosing. Results indicate self-disclosure is consistently effective for liberal and moderate partisans but in many cases are also effective for conservatives. By highlighting the power of self-disclosure, our findings offer a promising path toward bridging partisan divides.
Political censorship feels acceptable when ideas seem harmful and false
AbstractPeople seem willing to censor disagreeable political and moral ideas. Five studies explore why people engage in political censorship and test a potential route to decreasing censorship. While Americans report being generally supportive of free speech and against censorship (Study 1), we find that people censor material that seems harmful and false (Study 2), which are often ideas from political opponents (Study 3). Building on work demonstrating the perceived truth of harmful experiences (i.e., experiences of victimization), we test an experience‐sharing intervention to reduce censorship. Among college students, the intervention indirectly decreased students' willingness to censor controversial campus speakers' ideas, through reducing beliefs that these speakers were sharing harmful and false ideas related to gun policy (Study 4). We also find benefits of sharing harmful experiences related to the abortion debate. Americans were less willing to censor and report the social media posts of opponents who base their views on experiences of victimization rather than scientific findings (Study 5).
Megastudy testing 25 treatments to reduce antidemocratic attitudes and partisan animosity.
Scholars warn that partisan divisions in the mass public threaten the health of American democracy. We conducted a megastudy (n = 32,059 participants) testing 25 treatments designed by academics and practitioners to reduce Americans' partisan animosity and antidemocratic attitudes. We find that many treatments reduced partisan animosity, most strongly by highlighting relatable sympathetic individuals with different political beliefs or by emphasizing common identities shared by rival partisans. We also identify several treatments that reduced support for undemocratic practices-most strongly by correcting misperceptions of rival partisans' views or highlighting the threat of democratic collapse-which shows that antidemocratic attitudes are not intractable. Taken together, the study's findings identify promising general strategies for reducing partisan division and improving democratic attitudes, shedding theoretical light on challenges facing American democracy.
People believe political opponents accept blatant moral wrongs, fueling partisan divides.
Efforts to bridge political divides often focus on navigating complex and divisive issues, but eight studies reveal that we should also focus on a more basic misperception: that political opponents are willing to accept basic moral wrongs. In the United States, Democrats, and Republicans overestimate the number of political outgroup members who approve of blatant immorality (e.g. child pornography, embezzlement). This "basic morality bias" is tied to political dehumanization and is revealed by multiple methods, including natural language analyses from a large social media corpus and a survey with a representative sample of Americans. Importantly, the basic morality bias can be corrected with a brief, scalable intervention. Providing information that just one political opponent condemns blatant wrongs increases willingness to work with political opponents and substantially decreases political dehumanization.
Reducing Political Dehumanization by Pairing Facts With Personal Experiences
The media is increasingly blamed for inflaming political animosity, but it may also bridge partisan divides—with the right strategies. Past research highlights the outgroup‐experience effect: Sharing personal experiences (and not facts) helps to reduce partisan animosity. However, sharing facts is a pillar of good journalism and is essential for mediated political communication. Across four studies in two countries, we show that journalists, and citizens on social media sites, can share facts about contentious political issues (gun and climate policy), while simultaneously increasing tolerance and reducing dehumanization of political opponents. We extend the outgroup‐experience effect by introducing factual content alongside personal experiences of political adversaries (i.e., a combination approach). These effects are replicated in both the United States and Germany although in Germany the personal experience intervention is only beneficial for people with more extreme attitudes.
Threat Rejection Fuels Political Dehumanization
Americans disagree about many things, including what threats are most pressing. We suggest people morally condemn and dehumanize opponents when they are perceived as rejecting the existence or severity of important perceived threats. We explore perceived “threat rejection” across five studies ( N = 2,404) both in the real-world COVID-19 pandemic and in novel contexts. Americans morally condemned and dehumanized policy opponents when they seemed to reject realistic group threats (e.g., threat to the physical health or resources of the group). Believing opponents rejected symbolic group threats (e.g., to collective identity) was not reliably linked to condemnation and dehumanization. Importantly, the political dehumanization caused by perceived threat rejection can be soothed with a “threat acknowledgement” intervention.
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution-individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.