Sensitivity analysis to identify the selfdisclosures Of personally identifiable Information in online social media

Abstract

Online Social Networks (OSN) like Facebook and Twitter has newlineattracted a significant number of people by its rapid growth, popularity and newlinelarge user base sharing similar or varying career or personal interest, age newlinegroups, and real-life activities. The OSN allows users to build social newlinerelationships and share their current status, ideas and opinions that may be newlinerelated to their personal experience, professional achievements, daily newlineactivities, breaking news, surveys, crowdsourcing for emergency or critical newlinesituations, and so on. The variety and increased intensity of information flow newlinein OSN have led to Big Data and Social Media Analytics. The users of OSN newlineusually share large and unstructured text with potentially sensitive newlineinformation publicly either unknowingly or voluntarily. The owners of the newlinesensitive information are vulnerable to cyber-crime activities as a result of newlinebeing careless in sharing Sensitive Personal Data (SPD). newlineThe SPD and Personally Identifiable Information (PII) defined by newlineinternational organizations are mentioned to users of social networks in their newlineprivacy policies. The personal information revealing entities entitled as SPD newlineare phone number, email address, bank account number, and identities in newlineindividual s health, physical, profession, etc., Many real-life incidents and newlineresearch works have proved that disclosing SPD and PII on a public platform newlinehas led to adverse effects like privacy leaks, user opinion regrets, identity newlinetheft, job loss, sexual harassment. newlineThis research work addressed the problem of sensitive content newlineidentification in social media text messages by considering the presence of newlineSPD and PII in three domains namely personal, professional and health newline