All datasets / dess-mannheim
dess-mannheim/US_Multi_Outlet_News_Headlines2001_2024
The checks could not identify a recognised licence ID in the dataset's metadata.
- Declared licence
- other, from the tagEvidence: README.md at bc3bc20
- Licence files
LICENSE, licence not identifiedEvidence: LICENSE at bc3bc20- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- Yes
Citation text from the card
@inproceedings{10.1145/3795766.3799771,
author = {Shim, Jaein and Kreutner, Maximilian and Strohmaier, Markus},
title = {Long-Term Topic Dynamics in U.S. News Coverage},
year = {2026},
isbn = {9798400725043},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3795766.3799771},
doi = {10.1145/3795766.3799771},
abstract = {With the rise of short-form content on social media, news headlines play an increasingly critical role in the perception of events. While prior studies have examined headlines related to specific short-term events, long-term trends remain largely unexplored. We present a dataset and analysis of more than six million headlines from five major U.S. outlets spanning four presidential administrations (2001–2024). Our analysis of political, social, and economic headlines reveals two primary trends. First, we observe a gradual shift toward greater alignment in core topic attention over time, particularly in domestic politics, alongside persistent differences in baseline editorial emphases across outlets. Second, major events such as the Russia-Ukraine War and COVID-19 pandemic trigger strong and synchronized shifts in topic salience across outlets. These findings point to a media environment characterized by growing overlap in core political topics and increasingly synchronized responses to major crises, while maintaining recognizable editorial distinctions across outlets. To support reproducibility and
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "dess-mannheim/US_Multi_Outlet_News_Headlines2001_2024" })
signal: "unclear"
stated_licence: "other"
sources: 0