Themes and Visual Elements in News Imagery about Climate Change: Codebook
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This is the codebook we developed and used for content analysis described inRebich-Hespanha, S., Rice, R.E., Montello, D.R., Retzloff, S., Tien, S., and Hespanha, J.P. (2015) Image Themes and Frames in U.S. Print News Stories about Climate Change, Environmental Communication, 9(4), 491-519. doi:10.1080/17524032.2014.983534.This codebook was first published online at http://www.carseywolf.ucsb.edu/emi/global-climate-change-news-images in 2012. The first column indicates a broad Category for each theme, the second column contains the Specific Theme, the third column contains a description of the Specific Theme, and the fourth column contains the sequential number for the code. Themes (specific themes) were coded based on examination of the images. Categories were used only to group specific themes for greater conceptual ease in coding the images for specific themes. The codebook contains 118 specific Themes within 19 Categories. The final Categories, Themes, and specific wording is the result of multiple codings of the 350 images (see Rebich-Hespanha & Hespanha, 2014) using 123 codes by three coders, involving over 175,000 separate codings. All of the final 118 codes exhibited excellent agreements and reliabilities (calculated reliability values reported in the <em>Environmental Communication</em> manuscript referenced above). alse related:Rebich-Hespanha, S. & Hespanha, Joao P. (2014): Metadata table for 350 images associated with 200 randomly-selected US print news stories about climate change. figshare. http://dx.doi.org/10.6084/m9.figshare.1213654
本代码手册由Rebich-Hespanha, S.、Rice, R.E.、Montello, D.R.、Retzloff, S.、Tien, S.与Hespanha, J.P.（2015）于《环境传播》（Environmental Communication）第9卷第4期第491-519页刊载的研究中所使用的内容分析编码手册开发而成，原文DOI：10.1080/17524032.2014.983534。该代码手册于2012年首次在线发布于http://www.carseywolf.ucsb.edu/emi/global-climate-change-news-images。 本代码手册共包含四列信息：第一列为各主题所属的大类（Category），第二列为具体主题（Specific Theme），第三列为该具体主题的描述说明，第四列为编码的序列编号。具体主题通过对图像的分析进行编码，大类仅用于对具体主题进行归类，以提升图像具体主题编码过程中的概念易用性。 本代码手册包含19个大类下共计118个具体主题。最终的大类、具体主题及表述措辞，是通过3名编码员使用123个编码项对350张图像进行多轮编码后得到的结果（详见Rebich-Hespanha & Hespanha, 2014），整体编码工作量超过175000次独立编码。最终的118个编码项均表现出极佳的一致性与信度，相关信度计算结果已在上述提及的《环境传播》期刊稿件中公布。 相关补充资料可参见：Rebich-Hespanha, S. & Hespanha, Joao P.（2014）：《与200篇随机选取的美国印刷媒体气候变化新闻报道相关的350张图像的元数据表》，figshare，http://dx.doi.org/10.6084/m9.figshare.1213654
