AI 中文总结
本研究分析智利SOSAFE平台55万条举报，发现针对移民的仇恨言论集中在圣地亚哥人口结构近期变化的社区，此类言论及相关举报获更多互动。
AI 中文摘要
理解移民何时会引发社会融合或排斥是城市社区面临的核心挑战。现有研究大多依赖调查、行政数据或汇总指标，这些数据无法捕捉精细时空尺度上的排斥表达。本研究分析了来自SOSAFE（智利最大的公民举报平台）的55万多条带地理定位的举报，以探究圣地亚哥市移民与仇恨言论之间的关系。我们对西班牙语仇恨言论分类器进行了微调，并通过人工标签对其进行验证。提及移民的举报比其他举报更可能包含仇恨言论。仇恨言论集中在近期发生人口结构变化（2010年后抵达）的地区，而非已形成的移民社区。空间分析显示，仇恨言论热点与近期移民占人口三分之一以上的社区重合，而冷点则出现在近期移民极少的高教育水平区域。包含仇恨言论及提及移民的举报获得了更多互动量，尽管二者结合并未进一步放大互动效果。这些结果揭示了公民举报平台上的数字边界：排斥性言论集中在近期经历人口结构变化的社区，并获得更多互动量。
英文摘要
Understanding when migration generates social integration or exclusion is a central challenge for urban communities. Existing research has mostly relied on surveys, administrative data, or aggregate indicators that fail to capture expressions of exclusion at fine spatiotemporal scales. Here, we analyze over 550,000 geolocated reports from SOSAFE (Chile's largest citizen reporting platform) to examine the relationship between migration and hate speech in Santiago. We fine-tune a Spanish hate speech classifier and validate it against human labels. Reports that mention migrants are more likely to contain hate speech than other reports. Hate speech concentrates in areas with recent demographic change (post-2010 arrivals) rather than in established migrant communities. The spatial analysis shows that hate speech hotspots coincide with neighborhoods where recent migrants comprise over a third of the population. Coldspots appear in high-education sectors with minimal recent migration. Reports with hate speech and reports that mention migrants receive more engagement, although their combination is not amplified further. These results show digital bordering on a citizen reporting platform: exclusionary discourse concentrates, and receives more engagement, in neighborhoods undergoing recent demographic change.
Comments19 pages. Under review
