درخت حوزه‌های تخصصی

The learning approach to persuasion was considered obsolete following the emergence of new paradigms such as cognitive and constructive approaches. However, according to the evolutions of learning theories and especially the re-emergence of the connectivism paradigm, mainly due to what new technologies have provided, the learning approach to persuasion seems to have reappeared as a powerful approach that has a lot to offer yet. Based on research conducted on transformative learning patterns and algorithms, this paper investigates: i) the applicability of using the patterns and algorithms as well as techniques developed in the transformative learning approach for transformative persuasion, ii) how media can be used in the transformation process. The components of a persuasive transformation model, the factors involved, and major elements of each factor are extracted by constructivist grounded theory (CGT), which is used for theory building, accumulating knowledge and experiences of scholars, practitioners, and experts in adult learning. We show how media can use these factors and elements and notions and techniques developed in transformative learning for the persuasive transformation of their respective audience. Borrowing the concepts of transformative learning concerning the states of mind of the adult students in different stages of the transformation process, we suggest how media can appropriately act in each stage to facilitate a transformation through persuasion.

This article sheds light on the symbiotic relationship between academics and Google's propagandistic endeavors to normalize the unilateral exploitation of user data. While technology enthusiasts often praise Google's innovations, little attention is given to the company's trajectory from a small start-up to a global behemoth. The authors argue that academia plays a significant role in fostering a sense of gratitude among users for Google's services, despite relinquishing their rights and privacies. Google's substantial financial support for academic conferences and grants to researchers fuels the narrative that its data usage is both legitimate and altruistic. However, this paper reveals instances where Google has exerted pressure on academics to produce favorable articles and penalized those who refused to comply, effectively influencing academic discourse to bolster its image as a benevolent corporation.