Visualizing Authorship for Identification

8 years 3 months ago
Visualizing Authorship for Identification
As a result of growing misuse of online anonymity, researchers have begun to create visualization tools to facilitate greater user accountability in online communities. In this study we created an authorship visualization called Writeprints that can help identify individuals based on their writing style. The visualization creates unique writing style patterns that can be automatically identified in a manner similar to fingerprint biometric systems. Writeprints is a principal component analysis based technique that uses a dynamic feature-based sliding window algorithm, making it well suited at visualizing authorship across larger groups of messages. We evaluated the effectiveness of the visualization across messages from three English and Arabic forums in comparison with Support Vector Machines (SVM) and found that Writeprints provided excellent classification performance, significantly outperforming SVM in many instances. Based on our results, we believe the visualization can assist la...
Ahmed Abbasi, Hsinchun Chen
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where ISI
Authors Ahmed Abbasi, Hsinchun Chen
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