The DOI matches its Crossref record; 44 of the 48 references it cites were found in a registry or an index.
Public microblogging on climate change: One year of Twitter worldwide
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Natural language processing, network analysis, and clustering techniques can also be used to analyze social media data to understand public opinions and discourse around climate change [436,812,844].”
From Tackling climate change with machine learning (2023) · cites this paper as [436]
Citations
Cites
Content Analysis: An Introduction to its Methodology.
Shelley, M., & Krippendorff, K. (1984) · Journal of the American Statistical Association · doi:10.2307/2288384 · Cited by 24,346
Opinion Mining and Sentiment Analysis
Pang, B., & Lee, L. (2008) · now publishers, Inc. eBooks · doi:10.1561/9781601981516 · Cited by 6,957
Opinion mining and sentiment analysis
Pang, B., & Lee, L. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000011 · Cited by 6,372
boyd, D., & Crawford, K. (2012) · Information, Communication & Society · doi:10.1080/1369118x.2012.678878 · Cited by 5,479
Twitter mood predicts the stock market
Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206
The structure and function of communication in society
Lasswell, H. D. (2007) · Cited by 2,238
Christoph, V. F., Lazarfeld, P. F., Berelson, B., & Gaudet, H. (1945) · The American Catholic Sociological Review · doi:10.2307/3707538 · Cited by 1,732
The Two-Step Flow of Communication: An Up-To-Date Report on an Hypothesis
Katz, E. (1957) · Public Opinion Quarterly · doi:10.1086/266687 · Cited by 1,626
A New Era of Minimal Effects? The Changing Foundations of Political Communication
Bennett, W. L., & Iyengar, S. (2008) · Journal of Communication · doi:10.1111/j.1460-2466.2008.00410.x · Cited by 1,558
Research works printed but not linked: 1
- Stone, 2009, What's Happening?
Cited by
Sorted by citations
Network analysis reveals open forums and echo chambers in social media discussions of climate change
Williams, H. T. P., McMurray, J. R., Kurz, T., & Hugo Lambert, F. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.03.006 · Cited by 631
Passive crowdsourcing of social media in environmental research: A systematic map
Ghermandi, A., & Sinclair, M. M. (2019) · Global Environmental Change · doi:10.1016/j.gloenvcha.2019.02.003 · Cited by 365
The social media life of climate change: Platforms, publics, and future imaginaries
Pearce, W., Niederer, S., Özkula, S. M., & Sánchez-Querubín, N. (2018) · Wiley Interdisciplinary Reviews Climate Change · doi:10.1002/wcc.569 · Cited by 358
Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336
Jang, S. M., & Hart, P. S. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.02.010 · Cited by 334
Metadata
- Authors
- Kirilenko, A. P., & Stepchenkova, S. O.
- Affiliations
- University of North Dakota (US)
- University of Florida (US)
- Corresponding author
- Kirilenko, Andrei P.
- Venue
- Global Environmental Change
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 26
- Pages
- 171-182
- ISSN
- 0959-3780 (ISSN-L)
- OpenAlex
- W2102222275
- Cited by
- 254
- References
- 48
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 28 · 2023: 34 · 2022: 32 · 2021: 41 · 2020: 16 · 2019: 25 · 2018: 17 · 2017: 19 · 2016: 10 · 2015: 12 · 2014: 2
- FWCI
- 46.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Global Environmental Change (publishedVersion)
- Funders
- NASA
- Topics
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Social Sciences › Communication › Public Relations and Crisis Communication
- Social Sciences › Communication › Social Media and Politics
- Keywords
- climate change, global warming, Twitter, microblogging, public discourse, social media, spatiotemporal patterns, distributed sensors, news events, information sources, media authority, public perception, social network mining
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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