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Psycho-linguistic forensic analysis ...

Chen, Xiaoling.

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Psycho-linguistic forensic analysis of Internet text data.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Psycho-linguistic forensic analysis of Internet text data./
作者:	Chen, Xiaoling.
面頁冊數:	110 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-11, Section: B, page: .
Contained By:	Dissertation Abstracts International71-11B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3428871
ISBN:	9781124272719

Psycho-linguistic forensic analysis of Internet text data.
Chen, Xiaoling.

Psycho-linguistic forensic analysis of Internet text data. - 110 p.

Source: Dissertation Abstracts International, Volume: 71-11, Section: B, page: .

Thesis (Ph.D.)--Stevens Institute of Technology, 2010.

The Internet is evolving into a medium that is beyond just web browsing. It has become a medium where people network, discuss and debate issues, buy and sell products, and express their opinions via blogs. The Internet also provides an alternate life to many of its users that can be completely contradictory from their real life. The Internet also provides opportunities for its abuse. One example is the deceptive behavior on the Internet with malicious or non-malicious intent. This dissertation uses the definition of deception to be the "intentional falsification of truth". There are many shades of deception ranging from outright lies to "spin". Two forms of deception considered in this dissertation are: (a) providing false information (e.g., email scam, phishing) and (b) falsifying the authorship of text content (e.g., impersonation). The goal of this dissertation is to detect these two types of deception from the presented text data. An approach combining psycho-linguistic modeling, analysis and statistical hypothesis testing was adopted to address these text forensics problems.

ISBN: 9781124272719Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Psycho-linguistic forensic analysis of Internet text data.
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500 $a Source: Dissertation Abstracts International, Volume: 71-11, Section: B, page: .
500 $a Adviser: Rajarthnam Chandramouli.
502 $a Thesis (Ph.D.)--Stevens Institute of Technology, 2010.
520 $a The Internet is evolving into a medium that is beyond just web browsing. It has become a medium where people network, discuss and debate issues, buy and sell products, and express their opinions via blogs. The Internet also provides an alternate life to many of its users that can be completely contradictory from their real life. The Internet also provides opportunities for its abuse. One example is the deceptive behavior on the Internet with malicious or non-malicious intent. This dissertation uses the definition of deception to be the "intentional falsification of truth". There are many shades of deception ranging from outright lies to "spin". Two forms of deception considered in this dissertation are: (a) providing false information (e.g., email scam, phishing) and (b) falsifying the authorship of text content (e.g., impersonation). The goal of this dissertation is to detect these two types of deception from the presented text data. An approach combining psycho-linguistic modeling, analysis and statistical hypothesis testing was adopted to address these text forensics problems.
520 $a First, the background of the research and an overview of techniques and tools to detect deception on the Internet were provided. A classification of state-of-the-art hypothesis testing was presented. Then, the psycho-linguistic cues were introduced and four new deception detection methods were proposed based on detailed psycho-linguistic cues. The results of the detection methods on three experimental data sets were then compared. Moreover, compression-based language model to detect deception in text documents were also investigated. Next, the online engine tool STEALTH development was presented and the three case studies were shown. Further, the authorship similarity detection in identity-level and message-level for short length emails were discussed. Finally, the conclusions were given.
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