Hadler Markus, Klösch Beate, Reiter-Haas Markus, Lex Elisabeth
Department of Sociology, University of Graz, Graz, Austria.
Department of Sociology, Macquarie University, Sydney, NSW, Australia.
Front Sociol. 2022 Jul 6;7:885784. doi: 10.3389/fsoc.2022.885784. eCollection 2022.
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.
将社会调查反馈与社交媒体帖子相结合的研究表明，在调查中分享社交媒体账户的意愿取决于调查方式和受访者的某些社会人口统计学特征。我们通过证明分享其Facebook和Twitter账户的意愿也取决于受访者对特定话题的看法，为该研究增添了新的见解。此外，我们通过实际访问他们的社交媒体账户并检查调查反馈和推文是否一致，扩展了先前的研究。我们的分析表明，愿意分享其社交媒体账户的调查受访者对新冠疫情措施持更积极的态度。将他们的情绪与更大规模的Twitter数据集进行比较时，情况也是如此。我们的结果突出了在结合调查和社交媒体数据时抽样偏差的另一个来源：由特定观点导致的偏差，这可能与社会期望有关。
