Blockchain (BC) technology is gaining momentum in a variety of application domains, beyond finance. We present a text mining literature analysis of a body of published articles queried in the Scopus database, regarding BC technology and consumer trust. We applied a semiautomated text mining and topic modelling approach: we mix top-down and bottom-up procedures to align the existing literature on BC taxonomies with the gathered articles' list of keywords; we then feed automatically the latent Dirichlet allocation (LDA) algorithm to uncover relevant topics enabling to analyse the existing body of knowledge. Our analysis highlights the multidisciplinary nature of BC research within consumer trust. Among others, findings show pertinent aspects to consumer trust, such as traceability and privacy, are receiving only marginal attention from scholars. Our analysis also reveals the marketing, social and economic sciences’ researchers should devote efforts to the application of BC and its impact to consumer trust. We provide future research trends we deem crucial to be addressed regarding sustainable blockchain trustability.

区块链（BC）技术在金融领域之外的各种应用领域中都获得了发展势头。我们对Scopus数据库中查询的有关BC技术和消费者信任的大量已发表文章进行了文本挖掘文献分析。我们采用了一种半自动化的文本挖掘和主题建模方法：我们将自上而下和自下而上的过程混合在一起，以使有关BC分类法的现有文献与所收集文章的关键字列表保持一致；然后，我们会自动提供潜在的Dirichlet分配（LDA）算法，以发现相关主题，从而能够分析现有知识体系。我们的分析突出了消费者信任范围内的卑诗省研究的多学科性质。除其他外，研究结果表明，与消费者信任有关的方面（如可追溯性和隐私性）仅受到学者的很少关注。我们的分析还显示，市场营销，社会和经济科学领域的研究人员应致力于BC的应用及其对消费者信任的影响。我们提供了我们认为对于可持续区块链可信赖性至关重要的未来研究趋势。