Social media is a transformative digital technology, collapsing the “six degrees of
separation” which have previously characterized many social networks, and breaking down …

Social media data are transforming sustainability science. However, challenges from
restrictions in data accessibility and ethical concerns regarding potential data misuse have …

The actions and policies enacted by today's youth hold profound implications for future
generations, underscoring their pivotal role in advocating for climate issues. Younger …

Climate change and political polarization are two of the twenty-first century's critical socio-
political issues. Here we investigate their intersection by studying the discussion around the …

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 …

Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

The analysis of data from social media and social networking sites may be instrumental in
achieving a better understanding of human-environment interactions and in sha** future …

Social media websites can be used as a data source for mining public opinion on a variety
of subjects including climate change. Twitter, in particular, allows for the evaluation of public …

Over the recent years, large pretrained language models (LM) have revolutionized the field
of natural language processing (NLP). However, while pretraining on general language has …

We developed computational models to predict the emergence of depression and Post-
Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history …