TY - GEN
T1 - Validating Digital Traces with Survey Data
T2 - 16th ACM Web Science Conference, Websci Companion 2024
AU - Kina, Mehmet Fuat
AU - Atslzelti, Atsizelti
AU - Yörük, Erdem
AU - Hürriyetoglu, Ali
AU - Yardl, Melih Can
AU - Duruşan, Flrat
AU - Gürerk, Oguz
AU - Etgü, Tolga
AU - Nişancl, Zübeyir
AU - Bacakslzlar Turbic, Gizem
AU - Akbulut, Yusuf
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/5/21
Y1 - 2024/5/21
N2 - 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.
AB - 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.
KW - digital trace
KW - public opinion
KW - religiosity
KW - Twitter
KW - validation
UR - http://www.scopus.com/inward/record.url?scp=85197125774&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85197125774&partnerID=8YFLogxK
U2 - 10.1145/3630744.3660242
DO - 10.1145/3630744.3660242
M3 - Conference contribution
AN - SCOPUS:85197125774
T3 - Companion Proceedings of the 16th ACM Web Science Conference, Websci Companion 2024 - Reflecting on the Web, AI and Society
SP - 56
EP - 59
BT - Companion Proceedings of the 16th ACM Web Science Conference, Websci Companion 2024 - Reflecting on the Web, AI and Society
A2 - Heiberger, Raphael
A2 - Gadiraju, Ujwal
A2 - Spaniol, Marc
A2 - Kinder-Kurlanda, Katharina
A2 - Falenska, Agnieszka
A2 - Mashhadi, Afra
A2 - Sun, Jun
A2 - Kaiser, Sierra
A2 - Staab, Steffen
PB - Association for Computing Machinery, Inc
Y2 - 21 May 2024 through 24 May 2024
ER -