动机、注意力与视觉平台设计：道德传染如何在2024年美国总统选举期间在TikTok和Instagram上扩散
Motivation, Attention, and Visual Platform Design: How Moral Contagions Spread on TikTok and Instagram in the 2024 United States Presidential Election
AI总结：
研究探讨了TikTok和Instagram上道德化内容的传播机制，发现平台架构、受众 demographics 和党派框架影响道德化议题的扩散模式。
摘要：
视觉社交媒体平台已成为政治讨论的主要场所，但我们对道德化在不同平台和议题上的运作方式知之甚少。分析2024年美国总统选举期间2027595个TikTok视频和1126972个Instagram帖子，研究显示议题并非必然道德化，而是受众 demographics、平台架构和党派框架的产物。通过时间供需分析和道德基础评分（eMFD），研究探讨了关键选举议题的动态。发现一：道德化模式在平台上差异显著：TikTok的算法使道德化内容（如堕胎和移民）病毒式传播，尽管供应较低；Instagram则放大了经济讨论，使其供需平衡。发现二：传统“务实”经济议题变得道德化，加密货币讨论更强烈地激活忠诚和权威基础，将监管视为政府越界。发现三：平台对不同事件作出不同反应：TikTok在哈里斯提名后所有议题均出现供应波动下降（96%减少）；Instagram则在加密货币政策发展时爆发。语义网络分析显示TikTok的环形拓扑结构促进跨群体曝光，而Instagram的碎片化结构使哈里斯与经济讨论隔离。这些发现表明，理解政治道德化需要研究平台特定生态系统，其中架构、 demographics 和内容策略相互作用，决定哪些议题被道德化以及道德内容如何传播。
英文摘要：
Visual social media platforms have become primary venues for political discourse, yet we know little about how moralization operates differently across platforms and topics. Analyzing 2,027,595 TikToks and 1,126,972 Instagram posts during the 2024 US presidential election, we demonstrate that issues are not necessarily inherently moralized, but a product of audience demographics, platform architecture, and partisan framing. Using temporal supply-demand analysis and moral foundations scoring (eMFD), we examine the dynamics of key electoral issues. Three key findings emerge. First, moralization patterns diverge dramatically by platform: TikTok's algorithm enabled viral spread of moralized abortion and immigration content despite lower supply, while Instagram amplified economic discourse that aligned supply and demand. Second, traditionally "pragmatic" economic issues became moralized-cryptocurrency discourse invoked loyalty and authority foundations more strongly than any other topic, framing regulation as government overreach. Third, platforms responded to different events: TikTok surged after Harris's nomination across all topics (96% reduction in supply volatility), while Instagram spiked around cryptocurrency policy developments. Semantic network analysis reveals TikTok's circular topology enables cross-cutting exposure while Instagram's fragmented structure isolates Harris from economic discourse. These findings demonstrate that understanding political moralization requires examining platform-specific ecosystems where architecture, demographics, and content strategy interact to determine which issues get moralized and how moral content spreads.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
