PropertyValue
?:about
?:abstract
  • 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 [Forthcoming dataset paper publication]. (xsd:string)
?:archivedAt
?:category
  • Allgemeines (en)
  • Allgemeines (de)
  • Entwicklung und Geschichte der Kommunikationswissenschaften (en)
  • Entwicklung und Geschichte der Kommunikationswissenschaften (de)
  • Informationswissenschaft (de)
  • Informationswissenschaft (en)
  • Massenkommunikation (de)
  • Massenkommunikation (en)
  • Methoden (de)
  • Methoden (en)
  • Sonstiges zu Kommunikationswissenschaften (en)
  • Sonstiges zu Kommunikationswissenschaften (de)
  • spezielle Theorien und „Schulen“ (en)
  • spezielle Theorien und „Schulen“ (de)
?:citationString
  • Wedel, Lion, Mayer, Anna-Theresa, Batzner, Jan, & Hendrickx, Jonathan (2025): News on TikTok: An Annotated Dataset of TikTok Videos from German-Speaking News Outlets in 2023. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2819 (en)
  • Wedel, Lion, Mayer, Anna-Theresa, Batzner, Jan, & Hendrickx, Jonathan (2025): News on TikTok: An Annotated Dataset of TikTok Videos from German-Speaking News Outlets in 2023. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2819 (de)
?:conditionsOfAccess
  • Free access (without registration) (en)
  • Freier Zugang (ohne Registrierung) (de)
?:currentVersion
  • 1.0.0, https://doi.org/10.7802/2819 (xsd:string)
?:dataCollection
  • Content Analysis (en)
  • Inhaltscodierung (de)
?:dateCreated
  • 2025 (xsd:gyear)
?:dateModified
  • 2025-01-01 (xsd:date)
?:datePublished
  • 2025 (xsd:gyear)
?:doi
  • 10.7802/2819 ()
?:endDate
  • 2024-01-01 (xsd:date)
?:funder
?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:license
  • CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.de) (xsd:string)
?:linksCodebook
?:measurementTechnique
  • Time series (en)
  • Zeitreihen (de)
?:name
  • News on TikTok: An Annotated Dataset of TikTok Videos from German-Speaking News Outlets in 2023 (xsd:string)
?:principalInvestigator
  • Batzner, Jan (xsd:string)
  • Hendrickx, Jonathan (xsd:string)
  • Mayer, Anna-Theresa (xsd:string)
  • Wedel, Lion (xsd:string)
  • [Iwan, Alexander; Weizenbaum Institute for the Networked Society (Datenerheber/in) [=] Bremer, Emma Sophie; Weizenbaum Institute for the Networked Society (Datenerheber/in) [=] Ohme, Jakob; Weizenbaum Institute for the Networked Society (Projektleitung) [=] Stocker, Volker; Weizenbaum Institute for the Networked Society (Projektleitung)] (xsd:string)
?:provider
?:publicationType
  • SowiDataNet|datorium (en)
?:publisher
?:selectionMethod
  • Nicht-Wahrscheinlichkeitsauswahl - Bewusste Auswahl (de)
  • Non-probability Sample - Purposive Sample (en)
?:sourceInfo
  • GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2819 (en)
  • GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2819 (de)
  • GESIS-SowiDataNet|datorium (xsd:string)
?:spatialCoverage
?:startDate
  • 2024-01-01 (xsd:date)
?:studyPublications
  • Dataset paper forthcoming in first half of 2025. (xsd:string)
?:thematicCollection
  • Digital Behavioral Data (en)
  • Digitale Verhaltensdaten (de)
rdf:type
?:variableMeasured
  • Every second video published in 2023 by the most relevant traditional news media accounts on TikTok from Germany, Switzerland, and Austria. (xsd:string)