Combining Survey and Social Media Data: Respondents' Opinions on COVID-19 Measures and Their Willingness to Provide Their Social Media Account Information

被引:1
作者
Hadler, Markus [1 ,2 ]
Kloesch, Beate [1 ]
Reiter-Haas, Markus [3 ]
Lex, Elisabeth [3 ]
机构
[1] Karl Franzens Univ Graz, Dept Sociol, Graz, Austria
[2] Macquarie Univ, Dept Sociol, Sydney, NSW, Australia
[3] Graz Univ Technol, Inst Interact Syst & Data Sci, Graz, Austria
关键词
survey; social media; Facebook; Twitter; polarization; COVID-19; sentiment analysis; qualitative content analysis;
D O I
10.3389/fsoc.2022.885784
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
Research on combining social survey responses and social media posts has shown that the willingness to share social media accounts in surveys depends on the mode of the survey and certain socio-demographics of the respondents. We add new insights to this research by demonstrating that the willingness to share their Facebook and Twitter accounts also depends on the respondents' opinions on specific topics. Furthermore, we extend previous research by actually accessing their social media accounts and checking whether survey responses and tweets are coherent. Our analyses indicate that survey respondents who are willing to share their social media accounts hold more positive attitudes toward COVID-19 measures. The same pattern holds true when comparing their sentiments to a larger Twitter collection. Our results highlight another source of sampling bias when combining survey and social media data: a bias due to specific views, which might be related to social desirability.
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页数:8
相关论文
共 22 条
[1]   Linking Twitter and survey data: asymmetry in quantity and its impact [J].
Al Baghal, Tarek ;
Wenz, Alexander ;
Sloan, Luke ;
Jessop, Curtis .
EPJ DATA SCIENCE, 2021, 10 (01)
[2]   Linking Twitter and Survey Data: The Impact of Survey Mode and Demographics on Consent Rates Across Three UK Studies [J].
Al Baghal, Tarek ;
Sloan, Luke ;
Jessop, Curtis ;
Williams, Matthew L. ;
Burnap, Pete .
SOCIAL SCIENCE COMPUTER REVIEW, 2020, 38 (05) :517-532
[3]   The Emergence of a COVID-19 Related Social Capital: The Case of China [J].
Bian, Yanjie ;
Miao, Xiaolei ;
Lu, Xiaolin ;
Ma, Xulei ;
Guo, Xiaoxian .
INTERNATIONAL JOURNAL OF SOCIOLOGY, 2020, 50 (05) :419-433
[4]   The practical and ethical challenges in acquiring and sharing digital trace data: Negotiating public-private partnerships [J].
Breuer, Johannes ;
Bishop, Libby ;
Kinder-Kurlanda, Katharina .
NEW MEDIA & SOCIETY, 2020, 22 (11) :2058-2080
[5]   Coronavirus conspiracy beliefs and distrust of science predict risky public health behaviours through optimistically biased risk perceptions in Ukraine, Turkey, and Germany [J].
Chayinska, Maria ;
Ulug, Ozden Melis ;
Ayanian, Arin H. ;
Gratzel, Johanna Claudia ;
Brik, Tymofii ;
Kende, Anna ;
McGarty, Craig .
GROUP PROCESSES & INTERGROUP RELATIONS, 2022, 25 (06) :1616-1634
[6]  
Chen Emily, 2020, JMIR Public Health Surveill, V6, pe19273, DOI 10.2196/19273
[7]   How Many People Live in Political Bubbles on Social Media? Evidence From Linked Survey and Twitter Data [J].
Eady, Gregory ;
Nagler, Jonathan ;
Guess, Andy ;
Zilinsky, Jan ;
Tucker, Joshua A. .
SAGE OPEN, 2019, 9 (01)
[8]  
Hadler M., 2021, POLARIZATION PUBLIC, DOI [10.11587/OVHKTR, DOI 10.11587/OVHKTR]
[9]   Life and Attitudes of Slovenians during the COVID-19 Pandemic: The Problem of Trust [J].
Hafner-Fink, Mitja ;
Uhan, Samo .
INTERNATIONAL JOURNAL OF SOCIOLOGY, 2021, 51 (01) :76-85
[10]   Measuring Twitter Use: Validating Survey-Based Measures [J].
Henderson, Michael ;
Jiang, Ke ;
Johnson, Martin ;
Porter, Lance .
SOCIAL SCIENCE COMPUTER REVIEW, 2021, 39 (06) :1121-1141