contributor author | Smith, Kelly Helm;Tyre, Andrew J.;Tang, Zhenghong;Hayes, Michael J.;Akyuz, F. Adnan | |
date accessioned | 2022-01-30T17:47:20Z | |
date available | 2022-01-30T17:47:20Z | |
date copyright | 5/21/2020 12:00:00 AM | |
date issued | 2020 | |
identifier issn | 0003-0007 | |
identifier other | bamsd190342.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4263939 | |
description abstract | A pilot study found that #drought tweets reflect changes in attention to drought within states, suggesting that social media can contribute to a drought early warning system.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, 2017-2018, 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. | |
publisher | American Meteorological Society | |
title | Calibrating human attention as indicator: Monitoring #drought in the Twittersphere | |
type | Journal Paper | |
journal title | Bulletin of the American Meteorological Society | |
identifier doi | 10.1175/BAMS-D-19-0342.1 | |
tree | Bulletin of the American Meteorological Society:;2020:;volume( ):;issue: - | |
contenttype | Fulltext | |