User profiling has existed in the social media since their inception and has supported most
of their business model. Even if users do not actively share the information about themselves …

Preserving individual control over private information is one of the rising concerns in our
digital society. Online social networks exist in application ecosystems that allow them to …

Metadata are associated to most of the information we produce in our daily interactions and
communication in the digital world. Yet, surprisingly, metadata are often still categorized as …

The dichotomy between users' privacy behaviours and their privacy attitudes is a widely
observed phenomenon in online social media. Such a disparity can be mainly attributed to …

The increased popularity and ubiquitous availability of online social networks and
globalised Internet access have affected the way in which people share content. The …

At the time of writing, nearly four billion people worldwide employ social media platforms
such as Facebook, Instagram, WeChat, TikTok, etc. to share content of various kinds, which …

Balancing personalization and privacy is one of the challenges marketers commonly face.
The privacy dilemmas associated with personalized services are particularly concerning in …

Twitter user profile inference utilizes information from Twitter to predict user attributes (eg,
occupation, location), which is controversial because of its usefulness for downstream …

The emergence of microblogging-based social networks shows how important it is for
common people to share information worldwide. In this environment, Twitter has set it apart …

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 …