Search results for "Personally identifiable information"
showing 7 items of 17 documents
The reciprocal effects of social network site use and the disposition for self-disclosure: A longitudinal study
2013
Since the advent of social network sites (SNSs), scholars have critically discussed the psychological and societal implication of online self-disclosure. Does Facebook change our willingness to disclose personal information? The present study proposes that the use of SNSs and the psychological disposition for self-disclosure interact reciprocally: Individuals with a stronger disposition show a higher tendency to use SNSs (selection effect). At the same time, frequent SNS use increases the wish to self-disclose online, because self-disclosing behaviors are reinforced through social capital within the SNS environment (socialization effect). In a longitudinal panel study, 488 users of SNSs wer…
Customer recommendation based on profile matching and customized campaigns in on-line social networks
2019
We propose a general framework for the recommendation of possible customers (users) to advertisers (e.g., brands) based on the comparison between On-Line Social Network profiles. In particular, we associate suitable categories and subcategories to both user and brand profiles in the considered On-line Social Network. When categories involve posts and comments, the comparison is based on word embedding, and this allows to take into account the similarity between the topics of particular interest for a brand and the user preferences. Furthermore, user personal information, such as age, job or genre, are used for targeting specific advertising campaigns. Results on real Facebook dataset show t…
Mobile Search - Social Network Search Using Mobile Devices Demonstration
2008
Mobile search prototype demonstrates the possibilities of social network search in N800 mobile devices. Search is initiated from a N800 mobile device to search the contacts in mobile device's addressbook. The contacts can be other N800 mobile devices running mobile Web server or normal Web servers in the Internet with Drupal content management system. Mobile device users can select which of their personal information such as phone numbers, calendar data etc. to share via a mobile Web server. The proposed search mechanism has many benefits compared to centralized Web search engines like Google. The search can locate information which is not referenced anywhere and thus allows hidden or rare …
Exploiting community detection to recommend privacy policies in decentralized online social networks
2018
The usage of Online Social Networks (OSNs) has become a daily activity for billions of people that share their contents and personal information with the other users. Regardless of the platform exploited to provide the OSNs’ services, these contents’ sharing could expose the OSNs’ users to a number of privacy risks if proper privacy-preserving mechanisms are not provided. Indeed, users must be able to define its own privacy policies that are exploited by the OSN to regulate access to the shared contents. To reduce such users’ privacy risks, we propose a Privacy Policies Recommended System (PPRS) that assists the users in defining their own privacy policies. Besides suggesting the most appro…
Impact of a physician-targeted letter on opioid prescribing.
2020
We study the effect of a physician-targeted nudge letter on opioid prescribing. In May 2017, the Social Insurance Institution of Finland sent a personal information letter to all physicians who had issued a prescription containing at least 100 tablets of paracetamol-codeine combination to a new patient. The aim of the letter was to draw the physicians’ attention to their prescribing practices and to decrease the size of the first codeine prescription. Using individual level register data and a difference-in-differences strategy, we estimate that the letter decreased the average number of tablets purchased by new patients by 12.5 percent and the probability of a first purchase being at least…
Towards enabling privacy preserving smart city apps
2016
Smart city applications are increasingly relying on personally identifiable data. A disclosure of such a data to a platform provider and possible 3rd parties represents a risk to the privacy of the application users. To mitigate the privacy risk, two-layer privacy-preserving platform architecture is introduced, wherein the personally identifiable information is dealt with at the inner layer (executed in a trusted environment), whereas only generic and personally unidentifiable information is made available to the apps at the outer layer of the architecture — e.g., in a form of app-specific events. The essential requirements for the platform are described, and the architectural implications …
Building a political image on Instagram: A study of the personal profile of Santiago Abascal (Vox) in 2018
2020
Due to Instagram’s growing popularity in Spain, politicians have also begun to turn to this social network increasingly more. Accordingly, this paper analyses the visual and textual discourse of 259 posts published throughout 2018 on the personal Instagram profile of Santiago Abascal, the leader of the party Vox. Insofar as he is the Spanish politician with the highest number of followers on Instagram, the aim here is to analyse how he uses this social network in order to identify possible strategies that justify his growing number of followers. In the analysis, special attention was paid to aspects that might have contributed to the (self)presentation of Abascal and the promotion of his pa…