Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/146977
Title: TOWARDS A GENERAL APPROACH FOR COMPUTER-ASSISTED ANALYSIS OF LEGAL DECISIONS: IN DOMAIN NAME DISPUTES, DOES THE PANELIST MATTER?
Authors: JERROLD SOH TSIN HOWE
Keywords: Text Mining, Empirical Legal Analysis
Issue Date: 9-Apr-2018
Citation: JERROLD SOH TSIN HOWE (2018-04-09). TOWARDS A GENERAL APPROACH FOR COMPUTER-ASSISTED ANALYSIS OF LEGAL DECISIONS: IN DOMAIN NAME DISPUTES, DOES THE PANELIST MATTER?. ScholarBank@NUS Repository.
Abstract: This paper introduces an automated methodology for descriptive legal analysis using data on 27,000 domain name disputes decided under the Uniform Domain Names Dispute Resolution Policy. Using the methodology, I examine whether characteristics of adjudicating panels affect who wins such disputes. Controls for legal factors are synthesised by applying text mining to pre-processed decision texts. L1-penalised logistic regression is then used for estimation. Significance tests are conducted using post-selection inference methods. I find that panellist identity and size does not significantly affect dispute outcomes. Further, the synthesised controls are effective proxies for legal factors, suggesting that the methodology can be applied to other legal fields.
URI: http://scholarbank.nus.edu.sg/handle/10635/146977
Appears in Collections:Bachelor's Theses (Restricted)

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