“…In order to highlight the unique interpretation of the possible interplay between religious teachings/values and deviant behaviors such as violence and lies in folklore, this study applies Bayesian networks analysis, which is based on conditional probability and helps researchers reduce the risk of overestimating effects or making logical inconsistencies (Downey, 2012;Gill, 2002;Jackman, 2000Jackman, , 2009Kruschke, 2015;Malakoff, 1999;McElreath, 2016). Indeed, while scholars have pointed out the prevalence of elements related to violence and lies in folktales (Alcantud-Diaz, 2010Chima & Helen, 2015;Haar, 2005;Meehan, 1994;Victor, 1990), few have offered a rigorous statistical method to understand the interactions between these elements and their religio-cultural contexts. The research method follows the wave of studies on computational folkloristics, which emphasize the digitization of resources, the classification of folklore, and the necessary algorithms for data structure development (Abello, Broadwell, & Tangherlini, 2012;Dogra, 2018;Nguyen, Trieschnigg, & Theune, 2013;Tangherlini, 2013;Tehrani & d'Huy, 2017).…”