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1 – 2 of 2Langdon Holmes, Scott Crossley, Harshvardhan Sikka and Wesley Morris
This study aims to report on an automatic deidentification system for labeling and obfuscating personally identifiable information (PII) in student-generated text.
Abstract
Purpose
This study aims to report on an automatic deidentification system for labeling and obfuscating personally identifiable information (PII) in student-generated text.
Design/methodology/approach
The authors evaluate the performance of their deidentification system on two data sets of student-generated text. Each data set was human-annotated for PII. The authors evaluate using two approaches: per-token PII classification accuracy and a simulated reidentification attack design. In the reidentification attack, two reviewers attempted to recover student identities from the data after PII was obfuscated by the authors’ system. In both cases, results are reported in terms of recall and precision.
Findings
The authors’ deidentification system recalled 84% of student name tokens in their first data set (96% of full names). On the second data set, it achieved a recall of 74% for student name tokens (91% of full names) and 75% for all direct identifiers. After the second data set was obfuscated by the authors’ system, two reviewers attempted to recover the identities of students from the obfuscated data. They performed below chance, indicating that the obfuscated data presents a low identity disclosure risk.
Research limitations/implications
The two data sets used in this study are not representative of all forms of student-generated text, so further work is needed to evaluate performance on more data.
Practical implications
This paper presents an open-source and automatic deidentification system appropriate for student-generated text with technical explanations and evaluations of performance.
Originality/value
Previous study on text deidentification has shown success in the medical domain. This paper develops on these approaches and applies them to text in the educational domain.
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Keywords
Elisabetta Savelli, Barbara Francioni, Ilaria Curina and Marco Cioppi
The purpose of this study is to extend the research on fashion renting (FR) by investigating how personal and social motives (i.e. “subjective norms”, “perceived behavioural…
Abstract
Purpose
The purpose of this study is to extend the research on fashion renting (FR) by investigating how personal and social motives (i.e. “subjective norms”, “perceived behavioural control”, “sustainable orientation” and “FR benefits”) affect consumers’ attitudes and intentions towards it. In addition, personality traits are investigated as potential antecedents of FR, resulting in the proposal of an overall framework that combines the theory of planned behaviour with the trait theory approach.
Design/methodology/approach
Data were collected in Italy from a sample of 694 consumers, mainly females (88%), with an average age of 28.8 years and coming from all over the country. The collected data were then processed via structural equation modelling.
Findings
The results indicated that intention towards FR is influenced by attitude, which, in turn, is affected by social norms, perceived behavioural control, sustainable orientation and FR benefits. Furthermore, only fashion leadership acts as a direct antecedent of FR attitude, while the need for uniqueness and materialism plays critical roles as predictors of personal and social motives. Subjective norms and perceived behavioural control also serve as mediators of the significant relationships between personality traits and attitudes towards FR.
Practical implications
The study provides useful implications for fashion rental companies in attracting consumers and offers a foundation for further research on transforming traditional consumption into a more sustainable one.
Originality/value
The study presents new knowledge on the rental phenomenon in the fashion sector by responding to the call to deepen the analysis of factors that influence consumers’ adoption of FR from the perspectives of personal and social motives and personality traits.
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