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</script>Abstract Language and society is symbiotically interrelated in that language defines a society and the society in turn determines the acceptable use of language by individuals be it spoken or written form which comprise comments on social media network. Comments from Nigerian Cross-Dressers blog generally is predisposed by individual’s idiosyncratic attitudes, personal biases, myopic point of elevation and general world view. These individualistic tendencies sometimes give rise to language flaming which has proven to be a tool of attack and domination among internet language users. Using Van Djik’s (1999) Critical Discourse Analysis (CDA) and Dell Hyme’s SPEAKING acronym model as frame work, the paper carried out a descriptive analysis of 250 comments purposefully selected from the Instagram platforms of; Denrele Edun, Bobrisky, Jay Boogie and James Brown. Findings showed that the posts made by Denrele Edun, Bobrisky, Jay Boogie and James Brown and the analyzed corresponding comments reflected high tendency of hate speech, trolling, abuse, threat to life, body shaming and insult. The study therefore recommended that metaphorical depiction of unruly dressing, too much makeovers and luxury display should be discouraged among the cross dressers. Also, standard and formal use of Language across the social media should be implemented.
Critical Discourse analysis, Trolling, Cross-Dressers, Blogs, Social Media
Critical Discourse analysis, Trolling, Cross-Dressers, Blogs, Social Media
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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