Replication Data for: Electoral Accountability and the Channeling of Content Removal: Theory and Evidence from Google Transparency Reports.

Replication materials (R code and data) for \"Electoral Accountability and the Channeling of Content Removal: Theory and Evidence from Google Transparency Reports.\" The paper develops a political agency model of content removal and tests its predictions using country-year panel data on Google Transparency Report removal requests (2009-2022). Exploiting quasi-experimental variation in the timing of constitutionally scheduled elections, the analysis shows that takedown requests from democratic governments decline significantly as elections approach, while authoritarian regimes show no such reputational-discipline effect. Court orders -- a separate institutional channel -- show no electoral-cycle pattern in either regime type, consistent with the model.《选举问责与内容删除的传导机制：来自谷歌透明度报告（Google Transparency Report）的理论与实证证据》的研究复现材料（含R代码与数据集）。本研究构建了内容删除的政治代理模型，并采用2009至2022年谷歌透明度报告（Google Transparency Report）的删除请求国别年度面板数据，对模型预测开展实证检验。借助宪法规定选举时间所产生的准自然实验变异，分析结果显示：民主国家政府提交的内容删除请求会随选举临近显著减少，而威权政权未表现出此类声誉约束效应。作为另一制度渠道的法院命令，在两类政权中均未呈现选举周期相关变化模式，这与本研究的理论模型相一致。