Two 1%s don't make a whole: comparing simultaneous samples from twitter's streaming api

Joseph, Kenneth; Landwehr, Peter M.; Carley, Kathleen M.

doi:10.1007/978-3-319-05579-4_10

Cited by 70Computational and Text Analysis MethodsSocial Media and PoliticsWeb Data Mining and Analysis

Two 1%s don't make a whole: comparing simultaneous samples from twitter's streaming api

Joseph, Kenneth, Landwehr, Peter M., Carley, Kathleen M.·2014·Lecture Notes in Computer Science

DOI 10.1007/978-3-319-05579-4_10

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In the case of Twitter, much research relies on APIs that give access to at most 1% of the data.
“Further, in the case of Twitter, much research relies on APIs that give access to at most 1% of the data”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Joseph et al., 2014

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“Further, in the case of Twitter, much research relies on APIs that give access to at most 1% of the data (González-Bailón et al., 2014a; Joseph et al., 2014; Morstatter et al., 2014).”
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Authors: Joseph, K., Landwehr, P. M., & Carley, K. M.
Affiliations: Carnegie Mellon University (US)
ORCID: Joseph, Kenneth
Carley, Kathleen M.
Venue: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Published: 2014
Pages: 75-83
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-319-05579-4_10
OpenAlex: W185581208
Cited by: 69
References: 9
Citations by year: 2026: 1 · 2025: 1 · 2024: 1 · 2023: 5 · 2022: 5 · 2021: 17 · 2020: 12 · 2019: 6 · 2018: 9 · 2017: 4 · 2016: 4 · 2015: 2 · 2014: 2
FWCI: 8.10
Type: conference paper
Language: en
Open access: closed
Locations: Lecture notes in computer science (publishedVersion)
Topics: Social Sciences › General Social Sciences › Computational and Text Analysis Methods
Social Sciences › Communication › Social Media and Politics
Physical Sciences › Computer Science › Information Systems › Web Data Mining and Analysis
Keywords: Twitter Streaming API, sample overlap, sampling bias, technical artifacts, social media data collection, tweet popularity

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Two 1%s don't make a whole: comparing simultaneous samples from twitter's streaming api

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