气候变化领域集成服务门户(CCPortal): Calibrating human attention as indicator monitoring #drought in the twittersphere

CCPortal

DOI	10.1175/BAMS-D-19-0342.1
	Calibrating human attention as indicator monitoring #drought in the twittersphere
	Smith K.H.; Tyre A.J.; Tang Z.; Hayes M.J.; Adnan Akyuz F.
发表日期	2020
ISSN	00030007
起始页码	E1801
结束页码	E1819
卷号	101 期号:10
英文摘要	State climatologists and other expert drought observers have speculated about the value of monitoring Twitter for #drought and related hashtags. This study statistically examines the relationships between the rate of tweeting using #drought and related hashtags, within states, accounting for drought status and news coverage of drought. We collected and geolocated tweets, 2017-18, and used regression analysis and a diversity statistic to explain expected and identify unexpected volumes of tweets. This provides a quantifiable means to detect state-weeks with a volume of tweets that exceeds the upper limit of the prediction interval. To filter out instances where a high volume of tweets is related to the activities of one person or very few people, a diversity statistic was used to eliminate anomalous state-weeks where the diversity statistic did not exceed the 75th percentile of the range for that state's diversity statistic. Anomalous state-weeks in a few cases preceded the onset of drought but more often coincided with or lagged increases in drought. Tweets are both a means of sharing original experience and a means of discussing news and other recent events, and anomalous weeks occurred throughout the course of a drought, not just at the beginning. A sum-to-zero contrast coefficient for each state revealed a difference in the propensity of different states to tweet about drought, apparently reflecting recent and long-term experience in those states, and suggesting locales that would be most predisposed to drought policy innovation. © 2020 American Meteorological Society
语种	英语
scopus关键词	Earth atmosphere; Meteorology; Contrast coefficient; Hashtags; High volumes; Human attention; News coverage; Prediction interval; Upper limits; Drought
来源期刊	Bulletin of the American Meteorological Society
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177793
作者单位	National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States; School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States; Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln, NE, United States; North Dakota State Climate Office, North Dakota State University, Fargo, ND, United States
推荐引用方式 GB/T 7714	Smith K.H.,Tyre A.J.,Tang Z.,et al. Calibrating human attention as indicator monitoring #drought in the twittersphere[J],2020,101(10).
APA	Smith K.H.,Tyre A.J.,Tang Z.,Hayes M.J.,&Adnan Akyuz F..(2020).Calibrating human attention as indicator monitoring #drought in the twittersphere.Bulletin of the American Meteorological Society,101(10).
MLA	Smith K.H.,et al."Calibrating human attention as indicator monitoring #drought in the twittersphere".Bulletin of the American Meteorological Society 101.10(2020).