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United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use

doctoral thesis by Nina Cesare, 2017
Place written_work Q118213125
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United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use

Summary

United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use is a written work[1].

Key Facts

  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use authored A Quantitative Analysis of Racial Differences in Twitter Use — author (P50): Nina Cesare[2].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's instance of is recorded as A Quantitative Analysis of Racial Differences in Twitter Use — instance of (P31): written work[3].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's instance of is recorded as A Quantitative Analysis of Racial Differences in Twitter Use — instance of (P31): doctoral thesis[4].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's OCLC number is recorded as 1037951420[5].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's language of work or name is recorded as A Quantitative Analysis of Racial Differences in Twitter Use — language of work or name (P407): English[6].
  • +2017-00-00T00:00:00Z marks the founding of United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use[7].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's work available at URL is recorded as http://hdl.handle.net/1773/40971[8].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's Handle ID is recorded as 1773/40971[9].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's title is recorded as United We Tweet?[10].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's subtitle is recorded as A Quantitative Analysis of Racial Differences in Twitter Use[11].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's thesis submitted to is recorded as A Quantitative Analysis of Racial Differences in Twitter Use — thesis submitted to (P4101): University of Washington[12].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's on focus list of Wikimedia project is recorded as A Quantitative Analysis of Racial Differences in Twitter Use — on focus list of Wikimedia project (P5008): WikiProject PCC Wikidata Pilot/University of Washington[13].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's thesis committee member is recorded as A Quantitative Analysis of Racial Differences in Twitter Use — thesis committee member (P9161): Katherine Wellesley Stovel[14].
  • United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use's thesis committee member is recorded as A Quantitative Analysis of Racial Differences in Twitter Use — thesis committee member (P9161): Emma Spiro[15].

Body

Designation and Status

Recorded instance of include A Quantitative Analysis of Racial Differences in Twitter Use — instance of (P31): written work[3] and A Quantitative Analysis of Racial Differences in Twitter Use — instance of (P31): doctoral thesis[4].

History and Context

+2017-00-00T00:00:00Z marks the founding of United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use[7].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [4] ↑ . wikidata.org.
  3. [2] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . Retrieved . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use. Retrieved May 3, 2026, from https://4ort.xyz/entity/united-we-tweet-a-quantitative-analysis-of-racial-differences-in-twitter-use
MLA “United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/united-we-tweet-a-quantitative-analysis-of-racial-differences-in-twitter-use.
BibTeX @misc{4ortxyz_united-we-tweet-a-quantitative-analysis-of-racial-differences-in-twitter-use_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use}}, year = {2026}, url = {https://4ort.xyz/entity/united-we-tweet-a-quantitative-analysis-of-racial-differences-in-twitter-use}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): United We Tweet?: A Quantitative Analysis of Racial Differences in Twitter Use — https://4ort.xyz/entity/united-we-tweet-a-quantitative-analysis-of-racial-differences-in-twitter-use (retrieved 2026-05-03)

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