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Social Media Behavior Analysis in Response to U.S. Climate Anomalies (2016-2024)

dc.contributor.authorZing, Zhongrui
dc.contributor.advisorVan Berkel, Derek
dc.date.accessioned2025-05-01T11:47:09Z
dc.date.issued2025-05
dc.date.submitted2025-04
dc.identifier.urihttps://hdl.handle.net/2027.42/196951
dc.description.abstractClimate change is increasingly altering human behaviors and societal patterns across various domains. This study examines the influence of climate anomalies on human behavior and perception in the contiguous United States from 2016 to 2024. We employed a multi-method approach, integrating a large dataset of Flickr social media images and metadata with NOAA's temperature and precipitation anomaly records to analyze how extreme weather events and gradual climatic shifts shape online expressions of public behavior. The results of the study showed significant changes in user behavior during and after climate anomaly events. There was a significant increase in the amount of content posted related to extreme weather and the natural environment, while there was a significant decrease in the amount of content shared for outdoor activities and social and cultural activities. Seasonal differences were also prominent, with higher numbers of photos and more diverse content during summer anomalies, while winter anomalies focused public attention more on environmental change. There were also differences in the patterns of influence on user behavior between temperature and precipitation anomalies, with temperature anomalies triggering broader behavioral changes. This study suggests that social media visual data can effectively complement traditional methods of assessing the impacts of climate anomalies by providing new perspectives on the dynamics of public environmental engagement.en_US
dc.language.isoen_USen_US
dc.subjectclimate changeen_US
dc.subjectbehavioral adaptationen_US
dc.subjectsocial mediaen_US
dc.subjectcomputer visionen_US
dc.titleSocial Media Behavior Analysis in Response to U.S. Climate Anomalies (2016-2024)en_US
dc.typeThesisen_US
dc.description.thesisdegreenameMaster of Science (MS)en_US
dc.description.thesisdegreedisciplineSchool for Environment and Sustainabilityen_US
dc.description.thesisdegreegrantorUniversity of Michiganen_US
dc.contributor.committeememberLindquist, Mark
dc.identifier.uniqnameningzren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/196951/1/Ning_Zhongrui_Thesis.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/25449
dc.description.mappingd0a18e86-7d9e-4669-812b-ead353cc4899en_US
dc.working.doi10.7302/25449en_US
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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