<![CDATA[The most recent changes to the criteria in legal process for scientific evidence have emphasized scientific methods of authorship analysis. This study examined the authorship of electronic texts using a quantitative method based on forensic stylistics and computer technologies. This study uses 300 digital texts produced by 100 authors, including 100 questioned texts (Q-text) and 200 known texts (K-text). Personal texts of WhatsApp messages are used in this study as electronic texts. Authorship analysis was conducted by tracing the n-gram and testing all the text sets using the Similarity Comparison Method (SCM). Based on the results of the word 1-gram test, the SCM accuracy was found to be quite high, ranging from 85% to 96%. The findings of employing the tiny set are promising, with the various stylistic traits offering dependable accuracy ranging from 92% to 98.5%. The character-level n-gram tracing indicates a key feature of authorship attribution.]]>
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