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This study explores the dissemination potential of a COVID-19 message embedded in a sponsored social media post. The moderating role of prior parasocial interaction and influencer-brand fit were considered. 365 respondents participated in the study. A 3 (control, congruent, incongruent brand) × 2 (control, COVID-19 message) between-subject online experiment was designed and executed. Data were analyzed using a mediated moderation model. Results indicated that the three-way interaction of the COVID-19 message, brand presence and prior parasocial interaction affected the perceived influencer credibility, attitudes towards the social media post, and the behavioral engagement with the post. When the COVID-19 message was included in the post, increased prior parasocial interaction intensified the positive effect of influencer-brand fit on influencer credibility, which in turn resulted in a more positive attitude towards the post, and a higher behavioral engagement. Theoretical and practical implications were discussed.

Copyright of Clinical Neuroscience / Ideggyógyászati Szemle is the property of LifeTime Media Kft. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Animal Breeding & Feeding / Állattenyésztés és Takarmányozás is the property of Herman Otto Intezet Nonprofit Kft. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The traditional 'offline' data sources, which can be used to measure the size of the migrant social group can not be timely and reliable at the same time. These data sources can be combined well with their 'online' counterparts, which are not originally collected for research purposes but as they result from social interactions in the digital space can be accessed also for the researchers. The online data that is generated through the use of social media portals is easily accessible, timely, has a high level of disaggregation and has a wide coverage due to the extent of social media portals. In our study, we use an example to show how combining these two data sources can produce a realtime estimate of the number of Hungarian women living in Austria. [ABSTRACT FROM AUTHOR]