The intensification of affective polarization worldwide has raised new questions about how social media platforms might be further fracturing an already-divided public sphere. As opposed to ideological polarization, affective polarization is defined less by divergent policy preferences and more by strong negative emotions towards opposing political groups, and thus arguably poses a formidable threat to rational democratic discourse. We explore if prompting perspective-taking on social media platforms can help enhance empathy between opposing groups as a first step towards reducing affective polarization. Specifically, we deploy a randomized field experiment through a browser extension to 1,611 participants on Twitter, which enables participants to randomly replace their feeds with those belonging to accounts whose political views either agree with or diverge from their own. We find that simply exposing participants to "outgroup" feeds enhances engagement, but not an understanding of why others hold their political views. On the other hand, framing the experience in familiar, empathic terms by prompting participants to recall a disagreement with a friend does not affect engagement, but does increase their ability to understand opposing views. Our findings illustrate how social media platforms might take simple steps that align with business objectives to reduce affective polarization.
翻译:与意识形态的两极分化相反,对两极分化的定义较少于不同的政策偏好,而更多于对反对政治团体的强烈负面情绪,因此对理性的民主讨论构成巨大的威胁。 我们探讨在社交媒体平台上促进透视是否有助于增强对立群体之间的共鸣,作为减少情感两极化的第一步。 具体地说,我们通过浏览器在推特上对1 611名参与者进行随机化的实地实验,使参与者能够随机地用那些政治观点与自己一致或不同观点的账户取代他们的反馈。 我们发现,仅仅让参与者接触“外群体”的反馈可以促进参与,而不是理解其他人持有其政治观点的原因。 另一方面,用熟悉的、空洞的术语来描述经验,激励参与者回顾与朋友的分歧不会影响参与,但提高他们理解对立观点的能力。 我们的研究结果表明,社交媒体平台可以采取简单步骤,与商业目标保持一致,减少两极分化。