Published September 26, 2022 | Version v1
Other Open

Trust and trustworthiness codebook for content analysis: An example from NWS Forecaster interviews about AI

  • 1. National Center for Atmospheric Research
  • 2. University of Washington

Description

This codebook is a resource for those interested in analyzing any form of content (interview transcripts, news articles, social media posts, etc.) for the presence of trust and/or trustworthiness. This specific codebook has been tailored to analyzing interviews with National Weather Service (NWS) Forecasters about artificial intelligence (AI). As a result, the examples  and rules are designed to capture this context. However, this codebook could be modified to address other contexts as needed. Please cite this codebook if you use this codebook directly or use it to build a related codebook. 

Notes

This material is based upon work supported by the National Science Foundation under Grant No. ICER-2019758.

Files

TAI-RC-Severe_Forecaster_CodeBook_Trust.Trustworthy_Final_220919.docx.pdf

Files (555.0 kB)