Millions of people use Twitter daily, posting thousands of messages and interacting with
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …

Machine learning has led to important advances in society. One of the most exciting
applications of machine learning in psychological science has been the development of …

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 …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

Ubiquitous facial recognition technology can expose individuals' political orientation, as
faces of liberals and conservatives consistently differ. A facial recognition algorithm was …

Social scientists and psychologists take interest in understanding how people express
emotions and sentiments when dealing with catastrophic events such as natural disasters …

Judging others' personalities is an essential skill in successful social living, as personality is
a key driver behind people's interactions, behaviors, and emotions. Although accurate …

We show that easily accessible digital records of behavior, Facebook Likes, can be used to
automatically and accurately predict a range of highly sensitive personal attributes including …

The popularity of online social networks has created massive social communication among
their users and this leads to a huge amount of user-generated communication data. In recent …

Social media has surrounded every area of life, and social media platforms have become
indispensable for today's communication. Many journals use social media actively to …