Taraneh Khazaei, Lu Xiao, Robert E. Mercer, Atif Khan
{"title":"Detecting Privacy Preferences from Online Social Footprints: A Literature Review","authors":"Taraneh Khazaei, Lu Xiao, Robert E. Mercer, Atif Khan","doi":"10.9776/16293","DOIUrl":"https://doi.org/10.9776/16293","url":null,"abstract":"Providing personalized content can be of great value to both users and vendors. However, effective personalization hinges on collecting large amounts of personal data about users. With the exponential growth of activities in social networking websites, they have become a prominent platform to gather and analyze such information. Even though there exist a considerable number of social media users with publicly available data, previous studies have revealed a dichotomy between privacy-related intentions and behaviours. Users often face difficulties specifying privacy policies that are consistent with their actual privacy concerns and attitudes, and simply follow the default permissive privacy setting. Therefore, despite the availability of data, it is imperative to develop and employ algorithms to automatically predict users’ privacy preferences for personalization purposes. In this document, we review prior studies that tackle this challenging task and make use of users’ online social footprints to discover their desired privacy settings.","PeriodicalId":435894,"journal":{"name":"iConference 2016 Proceedings","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125475389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nushrat Khan, Terhi Nurmikko-Fuller, Kevin R. Page
{"title":"BABY ElEPHaT - Building an Analytical Bibliography for a Prosopography in Early English Imprint Data","authors":"Nushrat Khan, Terhi Nurmikko-Fuller, Kevin R. Page","doi":"10.9776/16588","DOIUrl":"https://doi.org/10.9776/16588","url":null,"abstract":"Prosopography of the people involved with publishing and selling of Early English books can be useful for the investigation of diachronic change in that sector. In this study, we developed an analytical bibliography from the metadata available from 25,000 texts published by the Early English Books Online Text Creation Partnership (EEBO-TCP), focusing exclusively on information captured in the „Publisher‟ field of the original TEI-XML Header. From there, we extracted the named entities associated with “printed by”, “printed for” and “sold by” relationships to generate and analyze a bibliographical network. We extended the EEBOO ontology to accommodate these relationships and generated RDF from the resulting structured metadata, enriching existing triples capturing other information within the dataset. This work is challenging because of the ambiguity and inconsistency in data and therefore can be of interest for further investigation by those with domain specific knowledge.","PeriodicalId":435894,"journal":{"name":"iConference 2016 Proceedings","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116511253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}