Many online social network (OSN) users are unaware of the numerous security risks that
exist in these networks, including privacy violations, identity theft, and sexual harassment …

Responsible innovation on large-scale Language Models (LMs) requires foresight into and
in-depth understanding of the risks these models may pose. This paper develops a …

Personal information of online social networks (OSNs) is governed by the privacy policies
chosen by users besides OSN's policies. Users make these decisions using privacy …

Social computing systems such as Twitter present new research sites that have provided
billions of data points to researchers. However, the availability of public social media data …

We provide an overview of the CLPsych 2022 Shared Task, which focusses on the
automatic identification of 'Moments of Change'in lon-gitudinal posts by individuals on social …

Purpose The purpose of this paper is to engage in a systematic analysis of academic
research that relies on the collection and use of Twitter data, creating topology of Twitter …

Geographical location is vital to geospatial applications like local search and event
detection. In this paper, we investigate and improve on the task of text-based geolocation …

Online Social Networking has gained huge popularity amongst the masses. It is common for
the users of Online Social Networks (OSNs) to share information with digital friends but in …

Data Loss Prevention (DLP) is a well-established security and privacy concept in enterprise
environments: Enterprise DLP tools scan outgoing messages and stop unintended …

Geolocation prediction is vital to geospatial applications like localised search and local
event detection. Predominately, social media geolocation models are based on full text data …