This paper investigates whether risk-related disclosure, which includes aggregate risk disclosure and its tone, including upside downside disclosures, is value relevant for investors in the UK market. Based on 1941 firm-year observations nonfinancial firms listed FTSE All-Share, we employ fixed-effect estimations find that relevance of information not statistically observable unless a distincti...

The paper describes a new method for assessing disclosure risk for tables of counts; the subtraction-attribution probability (SAP) method. The SAP score is the probability of an intruder recovering a 'risky' subpopulation table given a quantity of information about the individuals in a population table. The method can be applied to exact or perturbed individual tables and sets of tables. The me...

BACKGROUND Whether disclosing genetic risk for coronary heart disease (CHD) to individuals influences information seeking and information sharing is not known. We hypothesized that disclosing genetic risk for CHD to individuals influences information seeking and sharing. METHODS AND RESULTS The MI-GENES study (Myocardial Infarction Genes) randomized participants (n=203) aged 45 to 65 years wh...

In this paper we discuss a new theoretical basis for perturbation methods. In developing this new theoretical basis, we define the ideal measures of data utility and disclosure risk. Maximum data utility is achieved when the statistical characteristics of the perturbed data are the same as that of the original data. Disclosure risk is minimized if providing users with microdata access does not ...

The growth and popularity of SNSs such as Facebook and Twitter have created a new world for users to conduct activities such as posting, viewing, sharing, replying and playing. One of the most important user participation behaviors is self-disclosure. This study attempts to investigate the relation between privacy risk and self-disclosure behavior in SNSs and to understand how the users selecti...

This short paper provides a synthesis of the statistical disclosure limitation and computer science data privacy approaches to measuring the confidentiality protections provided by fully synthetic data. Since all elements of the data records in the release file derived from fully synthetic data are sampled from an appropriate probability distribution, they do not represent “real data,” but ther...

This study examined the occurrence of high and low risk self-disclosure' in 12 therapy groups. Eight groups were conducted for clients served by a community mental health center on an outpatient basis, and four groups were composed of extremely maladjusted in-patient clients at a state hospital. The Group Interaction Profile, an instrument which Tends ratings of each member's verbalizations, wa...

Research in information security, risk management and investment has grown in importance over the last few years. However, without reliable estimates on attack probabilities, risk management is difficult to do in practice. Using a novel data set, we provide estimates on attack propensity and how it changes with disclosure and patching of vulnerabilities. Disclosure of software vulnerability has...