In social psychology, it is generally accepted that one discloses more of his/her personal information to someone in a strong relationship. We present a computational framework for automatically analyzing such self-disclosure behavior in Twitter conversations. Our framework uses text mining techniques to discover topics, emotions, sentiments, lexical patterns, as well as personally identifiable...

ank supervisors need timely and reliable information about the financial condition and risk profile of banks in order to conduct effective supervision. Although such information can be obtained in part from regulatory reports and public disclosures, a key source is the on-site bank examination. Bank examinations enable supervisors to confirm the accuracy of information in regulatory reports. Mo...

We review literature examining the effects of laws and regulations that require public disclosure of information. These requirements are most sensibly imposed in situations characterized by misaligned incentives and asymmetric information between, for example, a buyer and seller or an advisor and advisee. We review the economic literature relevant to such disclosure, and then discuss how differ...

We explore the management of information and the response of market prices to such information. Sellers may be uncertain of dividends. We examine whether sellers anticipate buyers’ pricing behavior and whether buyers’ prices reflect correct inferences of the disclosure strategy of sellers. Buyers’ inferences and sellers’ anticipation require implicit Bayesian updating in solving for the equilib...

Electronic Health Records (EHRs) enable the sharing of patients' medical data. Since EHRs include patients' private data, access by researchers is restricted. Therefore k-anonymity is necessary to keep patients' private data safe without damaging useful medical information. However, k-anonymity cannot prevent sensitive attribute disclosure. An alternative, l-diversity, has been proposed as a so...

In the era of global social media, Internet users’ privacy rights have been weakened, and insight alertness individuals for disclosure are decreasing. The security flexibility system usually two ends measurement standard. While more users pursue intelligence convenience using media applications, letting big data technology AI algorithms learn use our cannot be avoided. On basis literature revie...