Public microblogging on climate change: One year of Twitter worldwide
Integrity signals
Registry
Cites
Statistics
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?
Natural language processing, network analysis, and clustering techniques can be used to analyze social media data to understand public opinions and discourse around climate change.
“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]
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 24,305 · see citing works
Opinion Mining and Sentiment Analysis
Pang, B., & Lee, L. (2008) · now publishers, Inc. eBooks · doi:10.1561/9781601981516 · Cited by 6,957 · see citing works
Opinion mining and sentiment analysis
Pang, B., & Lee, L. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000011 · Cited by 6,372 · see citing works
boyd, D., & Crawford, K. (2012) · Information, Communication & Society · doi:10.1080/1369118x.2012.678878 · Cited by 5,479 · see citing works
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 · see citing works
The structure and function of communication in society
Lasswell, H. D. (2007) · Cited by 2,258 · see citing works
Christoph, V. F., Lazarfeld, P. F., Berelson, B., & Gaudet, H. (1945) · The American Catholic Sociological Review · doi:10.2307/3707538 · Cited by 1,732 · see citing works
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 · see citing works
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 1,553 · see citing works
Hindman, M. (2008) · Princeton University Press eBooks · doi:10.1515/9781400837496 · Cited by 1,414 · see citing works
Brulle, R. J., Carmichael, J. T., & Jenkins, J. C. (2012) · Climatic Change · doi:10.1007/s10584-012-0403-y · Cited by 1,130 · see citing works
Cheng, Z., Caverlee, J., & Lee, K. (2010) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1871437.1871535 · Cited by 1,085 · see citing works
American Geophysical Union, Fall Meeting 2014
Fakhruddin, S. H. M. (2014) · ResearchSpace (University of Auckland) · Cited by 993 · see citing works
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 · see citing works
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 · see citing works
Segerberg, A., & Bennett, W. L. (2011) · The Communication Review · doi:10.1080/10714421.2011.597250 · Cited by 672 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Proceedings of ACL 2018, System Demonstrations
(2018) · doi:10.18653/v1/p18-4 · Cited by 232 · see citing works
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 213 · see citing works
Volkart, E. H., & Bryson, L. (1949) · American Sociological Review · doi:10.2307/2086471 · Cited by 207 · see citing works
#Ausvotes: How twitter covered the 2010 Australian federal election
Bruns, A., & Burgess, J. (2011) · QUT ePrints (Queensland University of Technology) · Cited by 176 · see citing works
Proceedings of the 20th international conference on World wide web
(2011) · doi:10.1145/1963405 · Cited by 175 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Satchwell, C. (2012) · Local Environment · doi:10.1080/13549839.2012.688735 · Cited by 36 · see citing works
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 · see citing works
The Prestige Press Covers the 1960 Presidential Campaign
Stempel, G. H. (1961) · Journalism Quarterly · doi:10.1177/107769906103800201 · Cited by 34 · see citing works
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 · see citing works
Russell, M. A. (2011) · International Linear Collider · Cited by 18 · see citing works
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 · see citing works
Bastos, M. T., & Zago, G. D. S. (2013) · SAGE Open · doi:10.1177/2158244013502496 · Cited by 14 · see citing works
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 · see citing works
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 · see citing works
Utilizing the social media data to validate 'climate change' indices
Molodtsova, T., Kirilenko, A., & Stepchenkova, S. O. (2013) · AGUFM · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
4 of the 48 references couldn’t be matched to a known paper.
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 · see citing works
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 · see citing works
The social media life of climate change: Platforms, publics, and future imaginaries
Pearce, W., Niederer, S., Özkula, S., & Sánchez-Querubín, N. (2018) · WIREs Climate Change · doi:10.1002/wcc.569 · Cited by 324 · see citing works
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 · see citing works
Jang, S. M., & Hart, P. S. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.02.010 · Cited by 334 · see citing works
Topic modeling and sentiment analysis of global climate change tweets
Dahal, B., Kumar, S. A. P., & Li, Z. (2019) · Social Network Analysis and Mining · doi:10.1007/s13278-019-0568-8 · Cited by 298 · see citing works
The Routledge Handbook of Language and Politics
Wodak, R. (2017) · Routledge eBooks · doi:10.4324/9781315183718 · Cited by 272 · see citing works
Mining Twitter Data for Improved Understanding of Disaster Resilience
Zou, L., Lam, N., Cai, H., & Qiang, Y. (2018) · Annals of the American Association of Geographers · doi:10.1080/24694452.2017.1421897 · Cited by 229 · see citing works
Visual cross-platform analysis: digital methods to research social media images
Pearce, W., Özkula, S. M., Greene, A. K., Teeling, L., Bansard, J. S., Omena, J. J., & Rabello, E. T. (2018) · Information Communication & Society · doi:10.1080/1369118x.2018.1486871 · Cited by 222 · see citing works
Twitter sentiment analysis: Capturing sentiment from integrated resort tweets
Philander, K. S., & Zhong, Y. (2016) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2016.02.001 · Cited by 201 · see citing works
People as sensors: Mass media and local temperature influence climate change discussion on Twitter
Kirilenko, A., Molodtsova, T., & Stepchenkova, S. O. (2014) · Global Environmental Change · doi:10.1016/j.gloenvcha.2014.11.003 · Cited by 193 · see citing works
Self-citationHam, Y., & Kim, J. (2020) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000748 · Cited by 182 · see citing works
Andreotta, M., Nugroho, R. S. A., Hurlstone, M. J., Boschetti, F., Farrell, S., Walker, I. A., & Paris, C. L. (2019) · Behavior Research Methods · doi:10.3758/s13428-019-01202-8 · Cited by 161 · see citing works
Su, Y., & Borah, P. (2019) · Journal of Information Technology & Politics · doi:10.1080/19331681.2019.1641451 · Cited by 132 · see citing works
Loureiro, M. L., & Allo, M. D. (2020) · Energy Policy · doi:10.1016/j.enpol.2020.111490 · Cited by 140 · see citing works
Ford, J. D., & King, D. (2015) · Environmental Science & Policy · doi:10.1016/j.envsci.2014.12.003 · Cited by 130 · see citing works
Social and geographical disparities in Twitter use during Hurricane Harvey
Zou, L., Lam, N., Shams, S., Cai, H., Meyer, M. A., Yang, S., Lee, K., Park, S., & Reams, M. A. (2018) · International Journal of Digital Earth · doi:10.1080/17538947.2018.1545878 · Cited by 119 · see citing works
Kirilenko, A., Stepchenkova, S. O., & Hernández, J. M. (2019) · Tourism Management · doi:10.1016/j.tourman.2019.01.001 · Cited by 107 · see citing works
Self-citationFownes, J. R., Yu, C., & Margolin, D. (2018) · Sociology Compass · doi:10.1111/soc4.12587 · Cited by 107 · see citing works
Wei, Y., Gong, P., Zhang, J., & Wang, L. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112559 · Cited by 106 · see citing works
VictimFinder: Harvesting rescue requests in disaster response from social media with BERT
Zhou, B., Zou, L., Mostafavi, A., Lin, B., Yang, M., Gharaibeh, N. G., Cai, H., Abedin, J., & Mandal, D. (2022) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2022.101824 · Cited by 107 · see citing works
Jiang, H., Qiang, M., & Lin, P. (2016) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2016.06.004 · Cited by 98 · see citing works
Hurricanes and hegemony: A qualitative analysis of micro-level climate change denial discourses
Jacques, P. J., & Knox, C. C. (2016) · Environmental Politics · doi:10.1080/09644016.2016.1189233 · Cited by 97 · see citing works
Twitter User Geolocation Using a Unified Text and Network Prediction Model
Rahimi, A., Cohn, T., & Baldwin, T. (2015) · doi:10.3115/v1/p15-2104 · Cited by 93 · see citing works
Key Topics in environmental sociology, 1990–2014: results from a computational text analysis
Bohr, J., & Dunlap, R. E. (2017) · Environmental Sociology · doi:10.1080/23251042.2017.1393863 · Cited by 93 · see citing works
Characterising climate change discourse on social media during extreme weather events
Roxburgh, N., Guan, D., Shin, K. J., Rand, W. M., Managi, S., Lovelace, R., & Meng, J. (2018) · Global Environmental Change · doi:10.1016/j.gloenvcha.2018.11.004 · Cited by 93 · see citing works
Does environmental awareness fuel the electric vehicle market? A Twitter keyword analysis
Austmann, L. M., & Vigne, S. A. (2021) · Energy Economics · doi:10.1016/j.eneco.2021.105337 · Cited by 90 · see citing works
Gender differences in the climate change communication on Twitter
Holmberg, K., & Hellsten, I. (2015) · Internet Research · doi:10.1108/intr-07-2014-0179 · Cited by 89 · see citing works
Mobile phone network data reveal nationwide economic value of coastal tourism under climate change
Kubo, T., Uryu, S., Yamano, H., Tsuge, T., Yamakita, T., & Shirayama, Y. (2019) · Tourism Management · doi:10.1016/j.tourman.2019.104010 · Cited by 88 · see citing works
The climate change Twitter dataset
Effrosynidis, D., Karasakalidis, A. I., Sylaios, G. K., & Arampatzis, A. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117541 · Cited by 84 · see citing works
Smetanin, S. (2020) · IEEE Access · doi:10.1109/access.2020.3002215 · Cited by 88 · see citing works
Biesbroek, R. G., Berrang‐Ford, L., Ford, J. D., Tanabe, A., Austin, S. E., & Lesnikowski, A. C. (2018) · Wiley Interdisciplinary Reviews Climate Change · doi:10.1002/wcc.548 · Cited by 82 · see citing works
Comparing Events Coverage in Online News and Social Media: The Case of Climate Change
Olteanu, A., Castillo, C., Diakopoulos, N. A., & Aberer, K. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v9i1.14626 · Cited by 78 · see citing works
Who speaks for climate change in China? Evidence from Weibo
Liu, J. C., & Zhao, B. (2016) · Climatic Change · doi:10.1007/s10584-016-1883-y · Cited by 77 · see citing works
Climate crisis and flying: social media analysis traces the rise of “flightshame”
Becken, S., Friedl, H. A., Stantić, B., Connolly, R. M., & Chen, J. (2020) · Journal of Sustainable Tourism · doi:10.1080/09669582.2020.1851699 · Cited by 77 · see citing works
Sentiment analysis on Twitter data towards climate action
Rosenberg, E., Tarazona, C., Mallor, F., Eivazi, H., Pastor-Escuredo, D., Nerini, F. F., & Vinuesa, R. (2023) · Results in Engineering · doi:10.1016/j.rineng.2023.101287 · Cited by 85 · see citing works
Sochi 2014 Olympics on Twitter: Perspectives of hosts and guests
Kirilenko, A., & Stepchenkova, S. O. (2017) · Tourism Management · doi:10.1016/j.tourman.2017.06.007 · Cited by 73 · see citing works
Self-citationWalter, S., & Brüggemann, M. (2018) · Information Communication & Society · doi:10.1080/1369118x.2018.1500622 · Cited by 72 · see citing works
Reber, U. (2018) · Communication Methods and Measures · doi:10.1080/19312458.2018.1555798 · Cited by 72 · see citing works
Online public response to a service failure incident: Implications for crisis communications
Su, L., Stepchenkova, S. O., & Kirilenko, A. (2019) · Tourism Management · doi:10.1016/j.tourman.2019.01.011 · Cited by 71 · see citing works
Self-citationWhy Are People Skeptical about Climate Change? Some Insights from Blog Comments
Matthews, P. C. (2015) · Environmental Communication · doi:10.1080/17524032.2014.999694 · Cited by 71 · see citing works
Representations of the future in English language blogs on climate change
Fløttum, K., Gjesdal, A. M., Gjerstad, Ø., Koteyko, N., & Salway, A. (2014) · Global Environmental Change · doi:10.1016/j.gloenvcha.2014.10.005 · Cited by 71 · see citing works
Mahl, D., Zeng, J., & Schäfer, M. S. (2021) · Social Media + Society · doi:10.1177/20563051211017482 · Cited by 67 · see citing works
Hot weather, hot topic. Polarization and sceptical framing in the climate debate on Twitter
Moernaut, R., Mast, J., Temmerman, M., & Broersma, M. (2022) · Information, Communication & Society · doi:10.1080/1369118x.2020.1834600 · Cited by 65 · see citing works
Sanford, M., Painter, J., Yasseri, T., & Lorimer, J. (2021) · Climatic Change · doi:10.1007/s10584-021-03182-1 · Cited by 66 · see citing works
Marlow, T., Miller, S., & Roberts, J. T. (2021) · Climate Policy · doi:10.1080/14693062.2020.1870098 · Cited by 64 · see citing works
Frontiers in data analytics for adaptation research: Topic modeling
Lesnikowski, A. C., Belfer, E., Rodman, E., Smith, J. M., Biesbroek, R. G., Wilkerson, J., Ford, J. D., & Berrang‐Ford, L. (2019) · Wiley Interdisciplinary Reviews Climate Change · doi:10.1002/wcc.576 · Cited by 64 · see citing works
Analyzing the User's Sentiments of ChatGPT Using Twitter Data
Korkmaz, A., Aktürk, C., & Talan, T. (2023) · Iraqi Journal for Computer Science and Mathematics · doi:10.52866/ijcsm.2023.02.02.018 · Cited by 64 · see citing works
The social anatomy of climate change denial in the United States
Gounaridis, D., & Newell, J. (2024) · Scientific Reports · doi:10.1038/s41598-023-50591-6 · Cited by 64 · see citing works
Qi, B., Costin, A. M., & Jia, M. (2020) · Travel Behaviour and Society · doi:10.1016/j.tbs.2020.05.005 · Cited by 62 · see citing works
Rapid Assessment of Disaster Impacts on Highways Using Social Media
Chen, Y., Wang, Q., & Ji, W. (2020) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000836 · Cited by 61 · see citing works
Common Core State Standards on Twitter: Public Sentiment and Opinion Leaders
Wang, Y., & Fikis, D. J. (2017) · Educational Policy · doi:10.1177/0895904817723739 · Cited by 61 · see citing works
Perceptions of GHG emissions and renewable energy sources in Europe, Australia and the USA
Zhang, Y., Abbas, M., & Iqbal, W. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-15935-7 · Cited by 58 · see citing works
Shen, C., Wang, Y., Xu, Y., & Li, X. (2024) · Cities · doi:10.1016/j.cities.2024.104857 · Cited by 58 · see citing works
Barkemeyer, R., Givry, P., & FIGGE, F. H. J. (2017) · Environment and Planning C Politics and Space · doi:10.1177/2399654417732337 · Cited by 53 · see citing works
Lörcher, I., & Taddicken, M. (2017) · Journal of Science Communication · doi:10.22323/2.16020203 · Cited by 53 · see citing works
Framing, the media, and environmental communication
Nisbet, M. C., & Newman, T. P. (2015) · doi:10.4324/9781315887586-24 · Cited by 51 · see citing works
Residents' sentiments towards electricity price policy: Evidence from text mining in social media
Sun, Y., Wang, Z., Zhang, B., Zhao, W., Xu, F., Liu, J., & Wang, B. (2020) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.104903 · Cited by 52 · see citing works
Twitter usage in Tourism: Literature Review
Ćurlin, T., Jaković, B., & Miloloža, I. (2019) · Business Systems Research Journal · doi:10.2478/bsrj-2019-0008 · Cited by 49 · see citing works
Exploring climate change discourse on social media and blogs using a topic modeling analysis
Gökçimen, T., & Daş, B. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e32464 · Cited by 49 · see citing works
Arlt, D., Hoppe, I., Schmitt, J. B., Silva-Schmidt, F. D., & Brüggemann, M. (2017) · Environmental Communication · doi:10.1080/17524032.2017.1394892 · Cited by 48 · see citing works
Effrosynidis, D., Sylaios, G. K., & Arampatzis, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0274213 · Cited by 47 · see citing works
Wu, M., Long, R., Chen, F., Chen, H., Bai, Y., Cheng, K., & Huang, H. (2022) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2022.106697 · Cited by 48 · see citing works
Zhang, Y., Abbas, M., & Iqbal, W. (2021) · Sustainable Production and Consumption · doi:10.1016/j.spc.2021.04.010 · Cited by 43 · see citing works
Crypto-currencies narrated on tweets: a sentiment analysis approach
Rouhani, S., & Abedin, E. (2019) · International Journal of Ethics and Systems · doi:10.1108/ijoes-12-2018-0185 · Cited by 39 · see citing works
Social media enables people-centric climate action in the hard-to-decarbonise building sector
Debnath, R., Bardhan, R., Shah, D. U., Kamiar Mohaddes, A., Ramage, M. H., Alvarez, R. M., & Sovacool, B. K. (2022) · Scientific Reports · doi:10.1038/s41598-022-23624-9 · Cited by 39 · see citing works
Bednarek, M. A., Ross, A. S., Boichak, O., Doran, Y. J., Carr, G., Altmann, E. G., & Alexander, T. J. (2021) · Discourse Context & Media · doi:10.1016/j.dcm.2021.100564 · Cited by 38 · see citing works
“Stop Blaming the Cows!”: How Livestock Production is Legitimized in Everyday Discourse on Facebook
Olausson, U. (2017) · Environmental Communication · doi:10.1080/17524032.2017.1406385 · Cited by 38 · see citing works
How has the COVID-19 pandemic affected the climate change debate on Twitter?
Loureiro, M. L., & Allo, M. D. (2021) · Environmental Science & Policy · doi:10.1016/j.envsci.2021.07.011 · Cited by 37 · see citing works
Ideological biases in social sharing of online information about climate change
Cann, T. J. B., Weaver, I. S., & Williams, H. T. P. (2021) · PLOS ONE · doi:10.1371/journal.pone.0250656 · Cited by 38 · see citing works
Seeking Visibility in a Big Tent: Digital Communication and the People's Climate March
Thorson, K., Edgerly, S., Kligler-Vilenchik, N., Xu, Y., & Luping, W. (2016) · Cited by 35 · see citing works
Using Social Media to Detect and Locate Wildfires
Boulton, C. A., Shotton, H., & Williams, H. T. P. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v10i2.14850 · Cited by 36 · see citing works
Detecting Climate Change Deniers on Twitter Using a Deep Neural Network
Chen, X., Zou, L., & Zhao, B. (2019) · International Conference on Machine Learning and Computing (ICMLC) · doi:10.1145/3318299.3318382 · Cited by 34 · see citing works
Between calls for action and narratives of denial: Climate change attention structures on Twitter
Meyer, H., Peach, A. K., Guenther, L., Kedar, H. E., & Brüggemann, M. (2023) · Media and Communication · doi:10.17645/mac.v11i1.6111 · Cited by 33 · see citing works
Enacting Data Feminism in Advocacy Data Work
Darian, S., Chauhan, A., Marton, R., Ruppert, J., Anderson, K., Clune, R., Cupchak, M., Gannett, M., Holton, J., Kamas, E., et al. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579480 · Cited by 32 · see citing works
Lü, H., Zhu, Y., Shi, K., Lv, Y., Shi, P., & Niu, Z. (2018) · Applied Sciences · doi:10.3390/app8071193 · Cited by 32 · see citing works
Spandagos, C., Baark, E., Ng, T. L., & Yarime, M. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.110915 · Cited by 31 · see citing works
Towards sentiment and Temporal Aided Stance Detection of climate change tweets
Upadhyaya, A., Fisichella, M., & Nejdl, W. (2023) · Information Processing & Management · doi:10.1016/j.ipm.2023.103325 · Cited by 30 · see citing works
Blogging about Climate Change in Russia: Activism, Scepticism and Conspiracies
Poberezhskaya, M. (2017) · Environmental Communication · doi:10.1080/17524032.2017.1308406 · Cited by 30 · see citing works
Climate change on Twitter: Implications for climate governance research
Dellmuth, L., & Shyrokykh, K. (2023) · Wiley Interdisciplinary Reviews Climate Change · doi:10.1002/wcc.848 · Cited by 29 · see citing works
Wan, X., Wang, R., Wang, M., Deng, J., Zhou, Z., Yi, X., Pan, J., & Du, Y. (2021) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000970 · Cited by 29 · see citing works
Big Changes Start With Small Talk: Twitter and Climate Change in Times of Coronavirus Pandemic
Camarillo, M. G., Ferguson, E., Ljevar, V., & Spence, A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.661395 · Cited by 27 · see citing works
Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey
Lamsal, R., Harwood, A., & Rodriguez, M. A. (2022) · ACM Computing Surveys · doi:10.1145/3524498 · Cited by 28 · see citing works
Bennett, J. B., Rachunok, B., Flage, R., & Nateghi, R. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245319 · Cited by 27 · see citing works
Zhu, Y., Zhang, S.-F., Li, Y., Lu, H., Shi, K., & Niu, Z.-D. (2019) · Geoscience Data Journal · doi:10.1002/gdj3.85 · Cited by 23 · see citing works
Characterizing the semantic features of climate change misinformation on Chinese social media
Chu, J., Zhu, Y., & Ji, J. (2023) · Public Understanding of Science · doi:10.1177/09636625231166542 · Cited by 26 · see citing works
Brüggemann, M., Neverla, I., Hoppe, I., & Walter, S. (2017) · Springer eBooks · doi:10.1007/978-3-662-55379-4_12 · Cited by 24 · see citing works
How Does the World View China’s Carbon Policy? A Sentiment Analysis on Twitter Data
Xiang, N., Wang, L., Zhong, S., Chen, Z., Wang, B., & Qu, Q. (2021) · Energies · doi:10.3390/en14227782 · Cited by 24 · see citing works
Schäfer, M. S., & Hase, V. (2022) · Wiley Interdisciplinary Reviews Climate Change · doi:10.1002/wcc.806 · Cited by 27 · see citing works
Public Perceptions about Nepalese National Parks: A Global Twitter Discourse Analysis
Bhatt, P., & Pickering, C. M. (2021) · Society & Natural Resources · doi:10.1080/08941920.2021.1876193 · Cited by 23 · see citing works
Twitter conversations reveal issue salience of aviation in the broader context of climate change
Becken, S., Stantić, B., Chen, J., & Connolly, R. M. (2021) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2021.102157 · Cited by 23 · see citing works
Using Twitter to Understand Public Interest in Climate Change: The Case of Qatar
Abbar, S., Zanouda, T., Berti‐Équille, L., & Borge‐Holthoefer, J. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v10i2.14849 · Cited by 23 · see citing works
Perceived climate risk and stock prices: An empirical analysis of pricing effects
Ameur, H. B., Dao, D., Ftiti, Z., & Louhichi, W. (2024) · Risk Analysis · doi:10.1111/risa.17683 · Cited by 25 · see citing works
Boyer, A., Vaudor, L., Lay, Y. L., & Marty, P. (2020) · Environmental Communication · doi:10.1080/17524032.2020.1821743 · Cited by 22 · see citing works
Sanford, M., Witkowska, M., Gifford, R., & Formanowicz, M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1099331 · Cited by 25 · see citing works
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
Bashar, M. A., & Nayak, R. (2025) · International Journal of Data Science and Analytics · doi:10.1007/s41060-025-00810-2 · Cited by 34 · see citing works
Machine learning based attribution mapping of climate related discussions on social media
Kaushal, A., Acharjee, A., & Mandal, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-22034-1 · Cited by 22 · see citing works
Digitale Medien und Nachhaltigkeit
Kannengießer, S. (2022) · Medien, Kultur, Kommunikation · doi:10.1007/978-3-658-36167-9 · Cited by 20 · see citing works
Environmental Discourse Exhibits Consistency and Variation across Spatial Scales on Twitter
Chang, C. H., Armsworth, P. R., & Masuda, Y. J. (2022) · BioScience · doi:10.1093/biosci/biac051 · Cited by 20 · see citing works
Mahl, D., von Nordheim, G., & Guenther, L. (2022) · Digital Journalism · doi:10.1080/21670811.2022.2114920 · Cited by 20 · see citing works
- 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
