Switzerland's unique system of direct democracy, characterized by frequent popular referenda, provides a critical context for studying the impact of online political advertising beyond standard electoral cycles. This paper presents a large-scale, data-driven analysis of 40k political ads published on Facebook and Instagram in Switzerland between 2021 and 2025. Despite a voting population of only 5.6 million, the ad campaigns were significant in scale, costing CHF 4.5 million and achieving 560 million impressions. This study shows that political ads are used not only for federal elections, but also to influence referenda, where greater exposure to ``pro-Yes'' advertising correlates significantly with approval outcomes. The analysis of microtargeting reveals distinct partisan strategies: centrist and right-wing parties predominantly target older men, whereas left-wing parties focus on young women. Furthermore, significant region-specific demographic variations are observed even within the same party, reflecting Switzerland's strong territorial divisions. Regarding content, a clear pattern of ``talking past each other'' is identified: in line with issue ownership theory, parties avoid direct debate on shared issues, preferring to promote exclusively owned topics. Finally, it is demonstrated that these strategies are so distinct that an ad's author can be predicted using a machine learning model trained exclusively on its audience and topic features. This study sheds light on how microtargeting and issue divergence on social platforms may fragment the public sphere and bypass traditional democratic deliberation.
翻译:瑞士独特的直接民主制度以频繁的全民公投为特征,为研究超越常规选举周期的在线政治广告影响提供了关键背景。本文对2021年至2025年间在瑞士Facebook和Instagram上发布的4万条政治广告进行了大规模数据驱动分析。尽管选民人口仅560万,广告活动规模却十分可观,耗资450万瑞士法郎,实现了5.6亿次曝光。研究表明,政治广告不仅用于联邦选举,还用于影响公投,其中‘赞成票’广告的更高曝光度与公投通过结果呈显著正相关。微观定向分析揭示了鲜明的党派策略:中间派和右翼政党主要针对年长男性,而左翼政党则聚焦年轻女性。此外,即使在同一政党内部,也观察到显著的地区性人口差异,这反映了瑞士强烈的区域分化特征。在内容方面,研究识别出清晰的‘自说自话’模式:根据议题所有权理论,各政党避免就共同议题直接辩论,更倾向于推广其独占性话题。最后,研究证明这些策略差异显著,以至于仅通过广告受众与主题特征训练的机器学习模型即可预测广告发布者。本研究揭示了社交平台上微观定向与议题分化如何可能割裂公共领域并绕开传统民主审议机制。