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 24,351
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
Hindman, M. (2008) · Princeton University Press eBooks · doi:10.1515/9781400837496 · Cited by 1,414
Brulle, R. J., Carmichael, J. T., & Jenkins, J. C. (2012) · Climatic Change · doi:10.1007/s10584-012-0403-y · Cited by 1,221
Cheng, Z., Caverlee, J., & Lee, K. (2010) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1871437.1871535 · Cited by 1,092
American Geophysical Union, Fall Meeting 2014
Fakhruddin, S. H. M. (2014) · ResearchSpace (University of Auckland) · Cited by 993
Who says what to whom on twitter
Wu, S., Hofman, J. M., Mason, W., & Watts, D. J. (2011) · International World Wide Web Conference (WWW) · doi:10.1145/1963405.1963504 · Cited by 969
Harnessing the Crowdsourcing Power of Social Media for Disaster Relief
Gao, H., Barbier, G., & Goolsby, R. (2011) · IEEE Intelligent Systems · doi:10.1109/mis.2011.52 · Cited by 779
Segerberg, A., & Bennett, W. L. (2011) · The Communication Review · doi:10.1080/10714421.2011.597250 · Cited by 672
A Latent Variable Model for Geographic Lexical Variation
Eisenstein, J., O'Connor, B., Smith, N. A., & Xing, E. P. (2018) · Figshare · doi:10.1184/r1/6475412 · Cited by 584
A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle
Wang, H., Can, D., Kazemzadeh, A., Bar, F., & Narayanan, S. S. (2012) · Cited by 542
Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development
Sakaki, T., Okazaki, M., & Matsuo, Y. (2012) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2012.29 · Cited by 502
Predicting Flu Trends using Twitter data
Achrekar, H., Gandhe, A., Lazarus, R. M., Yu, S.-H., & Liu, B. (2011) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infcomw.2011.5928903 · Cited by 456
Where in the World Are You? Geolocation and Language Identification in Twitter
Graham, M., Hale, S. A., & Gaffney, D. (2014) · The Professional Geographer · doi:10.1080/00330124.2014.907699 · Cited by 319
Enabled backchannel: conference Twitter use by digital humanists
Ross, C., Terras, M., Warwick, C., & Welsh, A. (2011) · Journal of Documentation · doi:10.1108/00220411111109449 · Cited by 292
Global perceptions of local temperature change
Howe, P. D., Markowitz, E. M., Lee, T. M., Ko, C., & Leiserowitz, A. (2012) · Nature Climate Change · doi:10.1038/nclimate1768 · Cited by 262
Proceedings of ACL 2018, System Demonstrations
(2018) · doi:10.18653/v1/p18-4 · Cited by 238
What do people study when they study Twitter? Classifying Twitter related academic papers
Williams, S. A., Terras, M., & Warwick, C. (2013) · Journal of Documentation · doi:10.1108/jd-03-2012-0027 · Cited by 223
Volkart, E. H., & Bryson, L. (1949) · American Sociological Review · doi:10.2307/2086471 · Cited by 207
Proceedings of the 20th international conference on World wide web
(2011) · doi:10.1145/1963405 · Cited by 182
#Ausvotes: How twitter covered the 2010 Australian federal election
Bruns, A., & Burgess, J. (2011) · QUT ePrints (Queensland University of Technology) · Cited by 176
Geo‐parsing Messages from Microtext
Gelernter, J., & Mushegian, N. (2011) · Transactions in GIS · doi:10.1111/j.1467-9671.2011.01294.x · Cited by 130
Multilevel Research in the Field of Organizational Behavior
Costa, P., Graça, A. M., Marques‐Quinteiro, P., Santos, C. M., Caetano, A., & Passos, A. (2013) · SAGE Open · doi:10.1177/2158244013498244 · Cited by 101
The Comparative Study of Symbols.
Suchman, E. A., Lasswell, H. D., Lerner, D., Pool, I. D. S., & Pool, I. D. S. (1953) · American Sociological Review · doi:10.2307/2087861 · Cited by 74
Satchwell, C. (2012) · Local Environment · doi:10.1080/13549839.2012.688735 · Cited by 36
Extreme weather and climate change in the American mind
Leiserowitz, A., Maibach, E. W., Roser‐Renouf, C., Feinberg, G., & Howe, P. D. (2012) · Cited by 35
The Prestige Press Covers the 1960 Presidential Campaign
Stempel, G. H. (1961) · Journalism Quarterly · doi:10.1177/107769906103800201 · Cited by 34
Blogging and tweeting climate change in South Africa
Bosch, T. E. (2012) · Ecquid Novi African Journalism Studies · doi:10.1080/02560054.2011.636825 · Cited by 30
Russell, M. A. (2011) · International Linear Collider · Cited by 18
From Sociology to Computing in Social Networks
Memon, N., & Alhajj, R. (2010) · Springer eBooks · doi:10.1007/978-3-7091-0294-7 · Cited by 16
Bastos, M. T., & Zago, G. D. S. (2013) · SAGE Open · doi:10.1177/2158244013502496 · Cited by 14
An Experimental Comparison of Four Ways of Coding Editorial Content
Geller, A. A., Kaplan, D., & Lasswell, H. D. (1942) · Journalism Quarterly · doi:10.1177/107769904201900403 · Cited by 13
Dissecting Twitter: A Review on Current Microblogging Research and Lessons from Related Fields
Cheong, M., & Lee, V. (2010) · Springer eBooks · doi:10.1007/978-3-7091-0294-7_18 · Cited by 10
Utilizing the social media data to validate 'climate change' indices
Molodtsova, T., Kirilenko, A., & Stepchenkova, S. O. (2013) · AGUFM · Cited by 3
Self-citation
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review