US Attention Data (2020-2025)

A Multiple (Wikipedia, GDELT, Google Trends) dataset of 51 weeks of cross-platform attention data across 6 regions, collected by Luke Steuber via Wikipedia API, GDELT Project, and Google Trends (2020-2025). Each record contains weekly attention scores by region, component metrics (Google Trends, GDELT, Wikipedia), and regional composite scores. A unified, weekly time-series of public attention to the United States from three independent sources, broken down by global region, enabling multi-perspective analysis of attention dynamics. Suitable for information cascade, event detection, public health monitoring, political communication, media analysis, attention tracking, regional sentiment analysis.

#Attention dynamics#Cross platform#Gdelt#Google trends#Weekly

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Content metrics

51 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

attention latin americaμ 16.726 ± 14.102
min 0max 100
attention north americaμ 25.796 ± 17.216
min 0max 100
attention asia pacificμ 25.43 ± 17.892
min 0max 100
attention middle eastμ 15.816 ± 18.7
min 0max 100
attention africaμ 25.794 ± 17.216
min 0max 100
attention europeμ 25.643 ± 17.23
min 0max 100
africa gdeltμ 0.011 ± 0.019
min 0max 0.071
low 33%medium 35%high 33%
africa wikipediaμ 378.2K ± 66K
min 244.8Kmax 619.6K
asia pacific gdeltμ 0.733 ± 0.144
min 0.445max 1.405
asia pacific wikipediaμ 140.7K ± 22.7K
min 91.8Kmax 206.6K
europe gdeltμ 0.322 ± 0.065
min 0.191max 0.475
low 33%medium 35%high 33%
europe wikipediaμ 38K ± 6.6K
min 24.7Kmax 62.3K
latin america gdeltμ 0.069 ± 0.014
min 0.037max 0.101
low 33%medium 35%high 33%
latin america wikipediaμ 37.697 ± 24.559
min 9.429max 185
middle east gdeltμ 0.16 ± 0.028
min 0.11max 0.222
low 33%medium 35%high 33%
middle east wikipediaμ 32.173 ± 22.682
min 13.667max 137.25
north america gdeltμ 5.466 ± 0.867
min 3.013max 7.061
north america wikipediaμ 252.1K ± 44K
min 163.2Kmax 413.1K
15.5
Flesch–Kincaid grade
US school grade level
26.5
Automated readability index
Frequent terms
wikipediagdeltafricaasia_pacificeuropelatin_americamiddle_eastnorth_americastartingweek2025100101031107650108264109006112353113547118432119122193122288123928125132126886127532127589127725128414129796130141132117132263132272135212136319137138784139908143472144297144748145624145728146529147187147200147989151733152255

Computed over the full corpus.

Record

Catalog key
us-attention-data
Authors
Steuber, Luke
Year
2026
Source paper
US Attention Data: Cross-platform attention tracking - Wikipedia pageviews, GDELT events, Google Trends (2020-2025)
License
MIT License (MIT)
Records
51
Text corpus
engagement metadata
Languages
en
Collected
2020-2025 (2020s)
Region
United States · North America (inferred: named in the description)

Provenance

Originally published at
https://github.com/lukeslp/us-attention-data link checked
Hosted copy
Mirrored on echo.directory on 2026-10-09, 4.2 MB across 30 files. Checksums in MANIFEST.json.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@misc{steuber2026usattention,
  title        = {US Attention Data: Cross-platform attention tracking - Wikipedia pageviews, GDELT events, Google Trends},
  author       = {Steuber, Luke},
  year         = {2026},
  howpublished = {\url{https://github.com/lukeslp/us-attention-data}}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Steuber, L. (2026). US Attention Data (2020-2025) [Data set]. https://us-attention-data.echo.directory/

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Steuber, Luke. US Attention Data (2020-2025). 2026, us-attention-data.echo.directory/.

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