Political Polarization Toned Down Through Anonymous Online Chats

An anonymous reader quotes a report from Ars Technica: Political polarization in the US has become a major issue, as Republicans and Democrats increasingly inhabit separate realities on topics as diverse as election results and infectious diseases. [...] Now, a team of researchers has tested whether social media can potentially help the situation by getting people with opposite political leanings talking to each other about controversial topics. While this significantly reduced polarization, it appeared to be more effective for Republican participants. The researchers zeroed in on two concepts to design their approach. The first is the idea that simply getting people to communicate across the political divide might reduce the sense that at least some of their opponents aren't as extreme as they're often made out to be. The second is that anonymity would allow people to focus on the content of their discussion, rather than worrying about whether what they were saying could be traced back to them. The researchers realized that they couldn't have any sort of control over conversations on existing social networks. So, they built their own application and hired professionals to do the graphics, support, and moderation. [...] People were randomly assigned to a few conditions. Some didn't use the app at all and were simply asked to write an essay on one of the topics under consideration (immigration or gun control). The rest were asked to converse on the platform about one of these topics. Every participant in these conversations was paired with a member of the opposing political party. Their partners were either unlabeled, labeled as belonging to the opposing party, or labeled as belonging to the same party (although the latter is untrue). Both before and after use of the app, participants answered questions about their view of politicized issues, members of their own party, and political opponents. These were analyzed in terms of issues and social influences, as well as rolled into a single index of polarization for the analysis. The conversations appeared to have an effect, with polarization lowered by about a quarter of a standard deviation among those who engaged with political opponents that were labeled accordingly. Somewhat surprisingly, conversation partners who were mislabeled had a nearly identical effect, presumably because they suggested that a person's own party contained a diversity of perspectives on the topic. In cases where no party affiliation was given, the depolarization was smaller (0.15 standard deviations). The striking thing is that most of the change came from Republican participants. There, polarization was reduced by 0.4 standard deviations. In contrast, Democratic participants only saw it drop by 0.1 standard deviations -- a change that wasn't statistically significant. The error bars of the two groups of party members overlapped, however, so while large, it's not clear what this difference might tell us. The researchers went back and ran the conversations through sentiment analysis and focused on people whose polarization had dropped the most. They found that their conversation partners used less heated language at the start of the conversation. So it appears that displaying respect for your political opponents can still make a difference, at least in one-on-one conversations. While the conversations had a larger impact on people's views of individual issues, it also influenced their opinion of their political opponents more generally, and the difference between the two effects wasn't statistically significant. The findings have been published in the journal Nature Human Behavior.

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