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One of the most significant breakthroughs in technology is the evolution of computing sciences and cybernetics. This development has had a global impact, with the widespread use of computer sciences leading to worldwide issues. In the third wave, time and place have become intertwined, eliminating the effects of distance and creating a new version of space. These characteristics have transformed the geography of virtual space into the geopolitics of virtual space. The findings of this analytical article, conducted using a library method and the strategy of cyberspace geography studies, suggest that the geography of virtual space is an emerging academic topic. When the geography of cyberspace addresses inequality in cyberspace security, it becomes a geopolitical issue. The paper explores how cybernetics is changing traditional notions of power, sovereignty, and conflict. The research also considers the implications of emerging technologies on global governance, the balance of power, and the potential for new forms of cyber-hegemony, concluding with recommendations for future policy and strategic considerations in this rapidly evolving field.

Discourse markers play a crucial role in textual cohesion and coherence. By identifying patterns of discourse marker usage, valuable insights can be gained into the underlying communicative strategies employed by text producers. Qur’anic discourse markers are of particular significance for several reasons, making their translation a critical area of study. Accordingly, this article aims to examine the second most frequent, complex, ambiguous, and multifaceted Qur’anic discourse marker, fa, in a Persian and English Qur’anic parallel corpus from a pragmatic perspective. To this end, six ajzā (parts) of the Holy Qur’an were randomly selected as the research sample and served as the source text of the corpus. The Persian translation by Ali Maleki and the English translation by Tahereh Saffarzadeh were chosen as the target texts through purposive sampling. The bilingual parallel corpus was designed to facilitate the investigation of variations and trends across the two languages, thereby providing a more in-depth understanding of the translation process. The analysis of this corpus revealed that translators rendered this Qur’anic meta-discursive component figuratively, communicatively, and dynamically by employing four different types and 81 unique discourse markers to establish various logical relationships between discourse units. These discourse markers conveyed discursive functions of contrast, elaboration, inference, and temporality. This figurative and communicative system, adopted and adapted in the construction of discourse, is substantiated through different theoretical perspectives in discourse analysis and pragmatics. Beyond its contribution to discourse analysis by highlighting the complexities of language use and the interpretation of sacred texts across languages, the study’s findings offer valuable insights for translators in general, and for Qur’an translators in particular, by shedding light on the intricate yet subtle process of discourse construction and its crucial role in facilitating more effective communication.

The study, which has been derived from a larger project, examined how effective ChatGPT, compared to human raters, is for scoring writing tasks when tasks were arranged from simple to complex or vice versa. In so doing, a correlational design was employed. The participants were 113 EFL learners. Two sets of writing tasks were customized based on the SSARC (simplify, stabilize, automatize, reconstruct, complexify) model. The participants were divided into two groups. They took a pre-test and did tasks in two different orders. The tasks were rectified by the researcher and returned to them later. The participants enhanced their text based on comments on tasks. After that, they took a posttest. Human raters and ChatGPT scored the pretests and posttests.  A Pearson Correlation test was run to obtain the correlation between a human rater and ChatGPT. The results indicated a strong positive correlation between scores assessed by human raters and those by ChatGPT when tasks were arranged from simple to complex (r = 968, p > 05) or complex to simple (r = 860, p > 05). These findings suggest that ChatGPT can be an effective tool for writing assessments. Suggestions for further research are discussed.