News on TikTok: An Annotated Dataset of TikTok Videos from German-Speaking News Outlets in 2023

DOI

TikTok is developing into a key platform for news, advertising, politics, online shopping, and entertainment in Germany, with over 20 million monthly users. Especially among young people, TikTok plays an increasing role in their information environment. We provide a human-coded dataset of over 4,000 TikTok videos from German-speaking news outlets from 2023. The coding includes descriptive variables of the videos (e.g., visual style, text overlays, and audio presence) and theory-derived concepts from the journalism sciences (e.g., news values). This dataset consists of every second video published in 2023 by major news outlets active on TikTok from Germany, Austria, and Switzerland. The data collection was facilitated with the official TikTok API in January 2024. The manual coding took place between September 2024 and December 2024. For a detailed description of the data collection, validation, annotation and descriptive analysis, please refer to: Mayer, A.-T., Wedel, L., Batzner, J., Hendrickx, J., Bremer, E., Iwan, A., Stocker, V., & Ohme, J. (2025). News on TikTok: An Annotated Dataset of TikTok Videos from German-Speaking News Outlets in 2023. Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 19, forthcoming.

Non-probability Sample - Purposive Sample

RecordingRecording

Aufzeichnung (mechanisch/elektronisch)Recording

Identifier
DOI https://doi.org/10.7802/2863
Source https://search.gesis.org/research_data/SDN-10.7802-2863?lang=de
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=ad3f1b909f3bd58af9f0a2fecd8d87bc718e79cc15bdf1ea24ab5b03ab219a6e
Provenance
Creator Wedel, Lion; Mayer, Anna-Theresa; Batzner, Jan; Hendrickx, Jonathan
Publisher GESIS Data Archive for the Social Sciences; GESIS Datenarchiv für Sozialwissenschaften
Publication Year 2025
Funding Reference [Federal Ministry of Education and Research of Germany (BMBF) under grant no. 16DII131 (Weizenbaum-Institut für die vernetzte Gesellschaft - Das Deutsche Internet-Institut)]
Rights Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY-NC-SA 4.0: Attribution - NonCommercial – ShareAlike (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.de); Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. CC BY-NC-SA 4.0: Attribution - NonCommercial – ShareAlike (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)
OpenAccess true
Contact http://www.gesis.org/
Representation
Discipline Social Sciences
Spatial Coverage Germany; Germany; Switzerland; Switzerland; Austria; Austria