The chapter presents a linguistic-rhetorical analysis of Danish, Armenian, Brazilian, and Italian parents’ free-text explanations for their score (on a scale) for trust in vaccines. Our analysis showed that parents from all countries used similar rhetorical-linguistic patterns when giving arguments for their scores. These patterns varied according to the trust scores: typically, simple elaboration for both ends of the scale as opposed to more extensive elaboration for middle scores, a pattern equally shared by the data from all countries. Furthermore, we showed that our data patterns could successfully be mapped onto (Rowland et al. in Science and Education 31:1399–1424, 2022) trust construct components—unquestioned confidence, justified trust, and active distrust. Our dataset mirrored the single countries’ general tendencies as to trust in authorities as well as in vaccine technology as mapped in national statistics and scholarly investigations: high trust in vaccine technology in Denmark and Italy; relatively high trust in vaccine technology, but low trust in national authorities in Brazil; and very low trust in both vaccine technology and national authorities for Armenia. Finally, the highly elaborated free texts typically tied to the medium trust scores also showed that non-expert citizens actively engage with complex information, weighing pros and cons, and drawing their own conclusions.

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How Citizens Explain Trust in Vaccines: Insights from Armenia, Brazil, Denmark, and Italy

  • Alexandra Regina Kratschmer,
  • Ana Paulla Braga Mattos,
  • Byurakn Ishkhanyan,
  • Rebekah Brita Baglini,
  • Marie Louise Tørring

摘要

The chapter presents a linguistic-rhetorical analysis of Danish, Armenian, Brazilian, and Italian parents’ free-text explanations for their score (on a scale) for trust in vaccines. Our analysis showed that parents from all countries used similar rhetorical-linguistic patterns when giving arguments for their scores. These patterns varied according to the trust scores: typically, simple elaboration for both ends of the scale as opposed to more extensive elaboration for middle scores, a pattern equally shared by the data from all countries. Furthermore, we showed that our data patterns could successfully be mapped onto (Rowland et al. in Science and Education 31:1399–1424, 2022) trust construct components—unquestioned confidence, justified trust, and active distrust. Our dataset mirrored the single countries’ general tendencies as to trust in authorities as well as in vaccine technology as mapped in national statistics and scholarly investigations: high trust in vaccine technology in Denmark and Italy; relatively high trust in vaccine technology, but low trust in national authorities in Brazil; and very low trust in both vaccine technology and national authorities for Armenia. Finally, the highly elaborated free texts typically tied to the medium trust scores also showed that non-expert citizens actively engage with complex information, weighing pros and cons, and drawing their own conclusions.