In this article, we provide a comprehensive review of the methods of authorship attribution that can be applied to the problem of social media forensics.
It is argued that there is a significant need in forensics for new authorship attribution algorithms that can exploit context, can process multi-modal data, ...
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What is authorship attribution?
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Aug 29, 2016 · These characteristics can often be quantified and measured using machine learning algorithms. In this paper, we provide a comprehensive review ...
Abstract: The veil of anonymity provided by smart phones with pre-paid SIM cards, public Wi-Fi hotspots, and distributed networks like Tor has drastically.
Oct 31, 2016 · forensic setting. 4) A detailed walk-through of supervised learning methods for authorship attribution for social media forensics based on ...
Several authorship attribution methods are applied to social media forensics analysis [4,5]. Applications of authorship attribution play a significant role ...
The short nature of messages exchanged on modern social media makes identifying bad actors more difficult than with longer texts. Author attribution techniques ...
Sep 7, 2016 · The goal of the presented research work is to identify authors of texts through features derived from the style of their writing with social ...
Nowadays, authorship attribution results are applied in forensic, information security, computational linguistics, and copyright protection. Authorship ...
Jun 30, 2023 · Defining Forensic Authorship Attribution for Limited Samples from Social Media. June 30, 2023. Authors. Robert H. Frye. David C. Wilson ...