This paper reports on a corpus-driven contrastive analysis of digital discourse markers (DDMs) in Iraqi Arabic and American English online communication. By compiling two corpora of circa 500,000 words each from public Facebook and X (formerly Twitter) posts (2020-2025), the study examines the frequencies, forms, positional distributions, and functions of DDMs. The findings show that the overall frequency of DDMs was statistically significantly higher in American English, at 2.76 per 1,000 words, than in Iraqi Arabic, at 2.49. Iraqi Arabic favored elaborative markers like wa \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'and\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\' and contrastive markers like bas \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'but\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\', in initial and medial positions mainly, in establishing relational harmony and opposition management as part of a collectivist mentality. American English, on the other hand, favored inferential markers, for instance, \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'so\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\', and hedging phrases, for example, \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'you know\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\', whose usages are predominantly initial, as part of logical sequencing and politeness due to an individualistic orientation. Both languages used digital variants such as emojis and abbreviations, but with different functional emphases. These results indicate dynamism in the use of DDM and how its use intersects with both language structure, cultural norms (collectivism vs. individualism) and technological affordances. This research contributes to computer-mediated communication theory and is relevant to cross-cultural pragmatics, digital interface design, and language pedagogy.

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