Validating Digital Traces with Survey Data: The Use Case of Religiosity
This paper tests the validity of a digital trace database (Politus) obtained from Twitter, with a recently conducted representative social survey, focusing on the use case of religiosity in Turkey. Religiosity scores in the research are extracted using supervised machine learning under the Politus p...
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| creator | Kına, M. Fuat Yörük, Erdem Hürriyetoğlu, Ali Yardı, Melih Can Atsızelti, Şükrü Duruşan, Fırat Gürerk, Oğuz Etgü, Tolga Nişancı, Zübeyir Mutlu, Osman Turbic, Gizem Bacaksızlar Akbulut, Yusuf |
| description | This paper tests the validity of a digital trace database (Politus) obtained
from Twitter, with a recently conducted representative social survey, focusing
on the use case of religiosity in Turkey. Religiosity scores in the research
are extracted using supervised machine learning under the Politus project. The
validation analysis depends on two steps. First, we compare the performances of
two alternative tweet-to-user transformation strategies, and second, test for
the impact of resampling via the MRP technique. Estimates of the Politus are
examined at both aggregate and region-level. The results are intriguing for
future research on measuring public opinion via social media data. |
| doi_str_mv | 10.48550/arxiv.2310.17220 |
| format | Article |
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from Twitter, with a recently conducted representative social survey, focusing
on the use case of religiosity in Turkey. Religiosity scores in the research
are extracted using supervised machine learning under the Politus project. The
validation analysis depends on two steps. First, we compare the performances of
two alternative tweet-to-user transformation strategies, and second, test for
the impact of resampling via the MRP technique. Estimates of the Politus are
examined at both aggregate and region-level. The results are intriguing for
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from Twitter, with a recently conducted representative social survey, focusing
on the use case of religiosity in Turkey. Religiosity scores in the research
are extracted using supervised machine learning under the Politus project. The
validation analysis depends on two steps. First, we compare the performances of
two alternative tweet-to-user transformation strategies, and second, test for
the impact of resampling via the MRP technique. Estimates of the Politus are
examined at both aggregate and region-level. The results are intriguing for
future research on measuring public opinion via social media data.</description><subject>Computer Science - Social and Information Networks</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj81KAzEUhbNxIdUHcGVeYGr-M3UnU61CQdBpt8PN5KYNjFYysTpvb6xuvgMHzoGPkCvO5qrWmt1A-o7HuZCl4FYIdk5WWxiihxzfd3QZdzHDQNsEPY70K-Y9ff1MR5zoEjLc0naPdDMibaDgEOgLDmVyGGOeLshZgGHEy_-ckfbhvm0eq_Xz6qm5W1dgLKuUtlIFL1ShsyoAOi8V8NI4AxaZqLlxmiPUru-DsUEvarmw0HvDPOdyRq7_bk8m3UeKb5Cm7teoOxnJH8BmRaA</recordid><startdate>20231026</startdate><enddate>20231026</enddate><creator>Kına, M. Fuat</creator><creator>Yörük, Erdem</creator><creator>Hürriyetoğlu, Ali</creator><creator>Yardı, Melih Can</creator><creator>Atsızelti, Şükrü</creator><creator>Duruşan, Fırat</creator><creator>Gürerk, Oğuz</creator><creator>Etgü, Tolga</creator><creator>Nişancı, Zübeyir</creator><creator>Mutlu, Osman</creator><creator>Turbic, Gizem Bacaksızlar</creator><creator>Akbulut, Yusuf</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20231026</creationdate><title>Validating Digital Traces with Survey Data: The Use Case of Religiosity</title><author>Kına, M. Fuat ; Yörük, Erdem ; Hürriyetoğlu, Ali ; Yardı, Melih Can ; Atsızelti, Şükrü ; Duruşan, Fırat ; Gürerk, Oğuz ; Etgü, Tolga ; Nişancı, Zübeyir ; Mutlu, Osman ; Turbic, Gizem Bacaksızlar ; Akbulut, Yusuf</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a670-45734fd2434fb74faebd34a1d24b6a7e02816b51ea8bccf67f598397acd60d113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Science - Social and Information Networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Kına, M. Fuat</creatorcontrib><creatorcontrib>Yörük, Erdem</creatorcontrib><creatorcontrib>Hürriyetoğlu, Ali</creatorcontrib><creatorcontrib>Yardı, Melih Can</creatorcontrib><creatorcontrib>Atsızelti, Şükrü</creatorcontrib><creatorcontrib>Duruşan, Fırat</creatorcontrib><creatorcontrib>Gürerk, Oğuz</creatorcontrib><creatorcontrib>Etgü, Tolga</creatorcontrib><creatorcontrib>Nişancı, Zübeyir</creatorcontrib><creatorcontrib>Mutlu, Osman</creatorcontrib><creatorcontrib>Turbic, Gizem Bacaksızlar</creatorcontrib><creatorcontrib>Akbulut, Yusuf</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kına, M. Fuat</au><au>Yörük, Erdem</au><au>Hürriyetoğlu, Ali</au><au>Yardı, Melih Can</au><au>Atsızelti, Şükrü</au><au>Duruşan, Fırat</au><au>Gürerk, Oğuz</au><au>Etgü, Tolga</au><au>Nişancı, Zübeyir</au><au>Mutlu, Osman</au><au>Turbic, Gizem Bacaksızlar</au><au>Akbulut, Yusuf</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validating Digital Traces with Survey Data: The Use Case of Religiosity</atitle><date>2023-10-26</date><risdate>2023</risdate><abstract>This paper tests the validity of a digital trace database (Politus) obtained
from Twitter, with a recently conducted representative social survey, focusing
on the use case of religiosity in Turkey. Religiosity scores in the research
are extracted using supervised machine learning under the Politus project. The
validation analysis depends on two steps. First, we compare the performances of
two alternative tweet-to-user transformation strategies, and second, test for
the impact of resampling via the MRP technique. Estimates of the Politus are
examined at both aggregate and region-level. The results are intriguing for
future research on measuring public opinion via social media data.</abstract><doi>10.48550/arxiv.2310.17220</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Social and Information Networks |
| title | Validating Digital Traces with Survey Data: The Use Case of Religiosity |
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