The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
People as sensors: Mass media and local temperature influence climate change discussion on Twitter
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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 Scientific Consensus on Climate Change
Oreskes, N. (2004) · Science · doi:10.1126/science.1103618 · Cited by 1,814
Risk perceptions, general environmental beliefs, and willingness to address climate change
O'Connor, R. E., Bard, R. J., & Fisher, A. (1999) · Risk Analysis · doi:10.1111/j.1539-6924.1999.tb00421.x · Cited by 957
Public understanding of climate change in the United States.
Weber, E. U., & Stern, P. C. (2011) · American Psychologist · doi:10.1037/a0023253 · Cited by 841
Public microblogging on climate change: One year of Twitter worldwide
Kirilenko, A. P., & Stepchenkova, S. O. (2014) · Global Environmental Change · doi:10.1016/j.gloenvcha.2014.02.008 · Cited by 254
Self-citation
Cited by
Passive crowdsourcing of social media in environmental research: A systematic map
Ghermandi, A., & Sinclair, M. (2019) · Global Environmental Change · doi:10.1016/j.gloenvcha.2019.02.003 · Cited by 363
The social media life of climate change: Platforms, publics, and future imaginaries
Pearce, W., Niederer, S., Özkula, S. M., & Sánchez Querubín, N. (2019) · WIREs Climate Change · doi:10.1002/wcc.569 · Cited by 334
Ham, Y., & Kim, J. (2020) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000748 · Cited by 182
Yuan, S., Chen, Y., Vojta, S., & Chen, Y. (2024) · New Media & Society · doi:10.1177/14614448221122202 · Cited by 23
Metadata
- Authors
- Kirilenko, A. P., Molodtsova, T., & Stepchenkova, S. O.
- Venue
- Global Environmental Change
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 30
- Pages
- 92-100
- ISSN
- 0959-3780 (ISSN-L)
- OpenAlex
- W2056282821
- Cited by
- 192
- References
- 5
- FWCI
- 19.46
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: People as sensors: Mass media and local temperature influence climate change discussion on Twitter. https://app.cochat.ai/papers/10.1016/j.gloenvcha.2014.11.003
- The paper
- Kirilenko, A. P., Molodtsova, T., & Stepchenkova, S. O. (2015). People as sensors: Mass media and local temperature influence climate change discussion on Twitter. Global Environmental Change. https://doi.org/10.1016/j.gloenvcha.2014.11.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.