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    Calibrating human attention as indicator: Monitoring #drought in the Twittersphere

    Source: Bulletin of the American Meteorological Society:;2020:;volume( ):;issue: -
    Author:
    Smith, Kelly Helm;Tyre, Andrew J.;Tang, Zhenghong;Hayes, Michael J.;Akyuz, F. Adnan
    DOI: 10.1175/BAMS-D-19-0342.1
    Publisher: American Meteorological Society
    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.
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      Calibrating human attention as indicator: Monitoring #drought in the Twittersphere

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    contributor authorSmith, Kelly Helm;Tyre, Andrew J.;Tang, Zhenghong;Hayes, Michael J.;Akyuz, F. Adnan
    date accessioned2022-01-30T17:47:20Z
    date available2022-01-30T17:47:20Z
    date copyright5/21/2020 12:00:00 AM
    date issued2020
    identifier issn0003-0007
    identifier otherbamsd190342.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263939
    description abstractA 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.
    publisherAmerican Meteorological Society
    titleCalibrating human attention as indicator: Monitoring #drought in the Twittersphere
    typeJournal Paper
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-19-0342.1
    treeBulletin of the American Meteorological Society:;2020:;volume( ):;issue: -
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian