# PoliTok-DE: A Multimodal Dataset of Political TikToks and Deletions From Germany

arXiv: https://arxiv.org/abs/2509.15860 · HTML: https://mlsanity.com/paper/2509.15860/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Sep 2025.

## Built on by (most cited first, 1 of 1)

- [Rethinking Ground Truth: A Case Study on Human Label Variation in MLLM Benchmarking](https://mlsanity.com/paper/2603.19744/) (2026)

## Abstract (arXiv)

We present PoliTok-DE, a large-scale multimodal dataset (video, audio, images, text) of TikTok posts from two German elections: the 2024 Saxony state election and the 2025 German federal election. The corpus contains over 930,000 posts, of which over 330,000 were later deleted from the platform (18.7% of Saxony posts, 39.7% of federal posts). In the federal-election collection, about two thirds of the deletions were creator withdrawals, and the platform-deletion rate we computed was 13.0% of all posts, more than an order of magnitude (14-19x) above the platform-wide rate TikTok reported. Posts were identified via the TikTok research API and complemented with web scraping to retrieve full multimodal media and metadata. PoliTok-DE supports social science research across substantive and methodological agendas: substantive work on intolerance and political communication, and methodological work on platform policies around deleted content and qualitative-quantitative multimodal research. To illustrate, we report a case study on intolerance and entertainment in an annotated subset of deleted posts: about one in five posts conveyed intolerance and a majority conveyed humor.