Language of Uncertainty: the Expression of Decisional Conflict Related to Skin Cancer Prevention Recommendations

Abstract

User-generated information on the Internet provides opportunities for the monitoring of health information consumer attitudes. For example, information about cancer prevention may cause decisional conflict. Yet posts and conversations shared by health information consumers online are often not readily actionable for interpretation and decision-making due to their unstandardized format. This study extends prior research on the use of natural language as a predictor of consumer attitudes and provides a link to decision-making by evaluating the predictive role of uncertainty indicators expressed in natural language. Analyzed data included free-text comments and structured scale responses related to information about skin cancer prevention options. The study identified natural language indicators of uncertainty and showed that it can serve as a predictor of decisional conflict. The natural indicators of uncertainty reported here can facilitate the monitoring of health consumer perceptions about cancer prevention recommendations and inform education and communication campaign planning and evaluation.

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Acknowledgments

Yulia A. Strekalova is a PhD candidate in the College of Journalism and Communications. Vaughan James is an MA student in the College of Journalism and Communications.

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Correspondence to Yulia A. Strekalova.

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This work supported in part by the Graham Professional Development Health and Science Communication Research Fund. The authors declared that they have no competing interests.

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Strekalova, Y.A., James, V.S. Language of Uncertainty: the Expression of Decisional Conflict Related to Skin Cancer Prevention Recommendations. J Canc Educ 32, 532–536 (2017). https://doi.org/10.1007/s13187-016-0985-6

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Keywords

  • Natural language processing
  • Uncertainty
  • Semantics
  • Cancer prevention