Natural language reflects our private lives and identities, making its privacy concerns as
broad as those of real life. Language models lack the ability to understand the context and …

Privacy in social network sites (SNSs) is an important issue, and many researchers have
focused on understanding the effects of information privacy concerns (IPCs) on user …

Machine learning has achieved remarkable success in many applications. However,
existing studies are largely based on the closed-world assumption, which assumes that the …

People's sense of being subject to digital dataveillance can cause them to restrict their
digital communication behavior. Such a chilling effect is essentially a form of self-censorship …

Online targeted advertising leverages an information asymmetry between the advertiser and
the recipient. Policymakers in the European Union and the United States aim to decrease …

Self-presentation on social network sites (SNS) such as Instagram is often assumed to be
inauthentic or even fake. While authenticity on SNS has been linked to increased well-being …

Purpose This paper explores the similarities and differences in privacy attitudes, trust and
risk beliefs between younger and older adults on social networking sites. The objective of …

Social media platforms have empowered the rampant dissemination of fake news and serve
as a “hotspot” for fake news. While existing research has recognized the causal motivations …

Social media has captured a large share of the public sphere at a pace far quicker than any
other means of communication did in the past, but the initial techno-optimism that marked …

Technological advances have had many advantages like an E-WOM (Electronic Word of
Mouth) that has become a very important and powerful tool for users who wish to share their …