Home ›
Entities
› academia
› Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey
Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey
Research article (Telematics and Informatics, 2019) · cited 58× · AI/ML
Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey
Summary
Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey is a scholarly article[1].
Key Facts
Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey. Retrieved May 24, 2026, from https://4ort.xyz/entity/uncovering-sentiment-and-retweet-patterns-of-disaster-related-tweets-from-a-spatiotemporal-perspective-a-case-study-of-h
MLA“Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uncovering-sentiment-and-retweet-patterns-of-disaster-related-tweets-from-a-spatiotemporal-perspective-a-case-study-of-h.
BibTeX@misc{4ortxyz_uncovering-sentiment-and-retweet-patterns-of-disaster-related-tweets-from-a-spatiotemporal-perspective-a-case-study-of-h_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey}}, year = {2026}, url = {https://4ort.xyz/entity/uncovering-sentiment-and-retweet-patterns-of-disaster-related-tweets-from-a-spatiotemporal-perspective-a-case-study-of-h}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey — https://4ort.xyz/entity/uncovering-sentiment-and-retweet-patterns-of-disaster-related-tweets-from-a-spatiotemporal-perspective-a-case-study-of-h (retrieved 2026-05-24)
