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          <titl xml:lang="en">DDI study level documentation for study 10.7802/1166 Geotagged Twitter posts from the United States: A tweet collection to investigate representativeness</titl>
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        <titl xml:lang="en">Geotagged Twitter posts from the United States: A tweet collection to investigate representativeness</titl>
        <parTitl xml:lang="de">Geotagged Twitter posts from the United States: A tweet collection to investigate representativeness</parTitl>
        <IDNo xml:lang="en" agency="GESIS">10.7802/1166</IDNo><IDNo xml:lang="de" agency="GESIS">10.7802/1166</IDNo><IDNo xml:lang="en" agency="DOI">10.7802/1166</IDNo><IDNo xml:lang="de" agency="DOI">10.7802/1166</IDNo>
      </titlStmt>
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        <AuthEnty affiliation="Carnegie Mellon University" xml:lang="en">Pfeffer, Jürgen
        </AuthEnty><AuthEnty affiliation="Carnegie Mellon University" xml:lang="de">Pfeffer, Jürgen
        </AuthEnty><AuthEnty affiliation="Arizona State University" xml:lang="en">Morstatter, Fred
        </AuthEnty><AuthEnty affiliation="Arizona State University" xml:lang="de">Morstatter, Fred
        </AuthEnty>
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        <distrbtr abbr="GESIS" URI="http://www.gesis.org/" xml:lang="en">GESIS Data Archive for the Social Sciences</distrbtr><distrbtr abbr="GESIS" URI="http://www.gesis.org/" xml:lang="de">GESIS Datenarchiv für Sozialwissenschaften</distrbtr>
        <distDate xml:lang="en" date="2016"/><distDate xml:lang="de" date="2016"/>
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      <abstract xml:lang="en">This dataset consists of IDs of geotagged Twitter posts from within the United States. They are provided as files per day and state as well as per day and county. In addition, files containing the aggregated number of hashtags from these tweets are provided per day and state and per day and county. This data is organized as a ZIP-file per month containing several zip-files per day which hold the txt-files with the ID/hash information.  Also part of the dataset are two shapefiles for the US counties and states and Python scripts for the data collection and sorting geotags into counties.</abstract><abstract xml:lang="de">This dataset consists of IDs of geotagged Twitter posts from within the United States. They are provided as files per day and state as well as per day and county. In addition, files containing the aggregated number of hashtags from these tweets are provided per day and state and per day and county. This data is organized as a ZIP-file per month containing several zip-files per day which hold the txt-files with the ID/hash information.  Also part of the dataset are two shapefiles for the US counties and states and Python scripts for the data collection and sorting geotags into counties.</abstract>
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        <nation xml:lang="en" abbr="US">United States</nation><nation xml:lang="de" abbr="US">United States</nation>
        <universe xml:lang="en" clusion="I">Geotagged tweets from the US</universe>
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        <sampProc xml:lang="en">No user sampling. Selection of Tweets with geo-location within bounding box for the United States (-128.6, 24.5), (-59, 50). Sampling by Twitter API unknown.<concept/></sampProc><sampProc xml:lang="de">No user sampling. Selection of Tweets with geo-location within bounding box for the United States (-128.6, 24.5), (-59, 50). Sampling by Twitter API unknown.<concept/></sampProc>
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        <restrctn xml:lang="en">Restricted Access - To get access to the research data, the original data depositor's consent is needed.
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.</restrctn><restrctn xml:lang="de">Eingeschränkter Zugang - Für den Zugang zu den Forschungsdaten muss eine Einwilligung der Datengebenden eingeholt werden.
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.</restrctn>
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