A5062950807- Mental Health via Writing
- Social Media and Politics
- Opinion Dynamics and Social Influence
- Misinformation and Its Impacts
- Text Readability and Simplification
- Natural Language Processing Techniques
- Digital Mental Health Interventions
- Government, Law, and Information Management
- Sentiment Analysis and Opinion Mining
- Emotion and Mood Recognition
- Advanced Text Analysis Techniques
- Diverse Global Research Studies
- Media Influence and Health
- Information Society and Technology Trends
- Mental Health Research Topics
- Topic Modeling
- Language, Metaphor, and Cognition
- Humor Studies and Applications
- Neurobiology of Language and Bilingualism
- EEG and Brain-Computer Interfaces
- Complex Network Analysis Techniques
- Voice and Speech Disorders
Scuola Normale Superiore
2019-2023
Institute for Computational Linguistics “A. Zampolli”
2021-2023
University of Sheffield
2018
In this paper, we present a crowdsourcing-based approach to model the human perception of sentence complexity. We collect large corpus sentences rated with judgments complexity for two typologically-different languages, Italian and English. test our in experimental scenarios aimed investigate contribution wide set lexical, morpho-syntactic syntactic phenomena predicting i) degree agreement among annotators independently from assigned judgment ii)
We study the influence of context on how humans evaluate complexity a sentence in English. collect new dataset sentences, where each is rated for perceived within different contextual windows. carry out an in-depth analysis to detect which linguistic features correlate more with judgments and degree agreement among annotators. train several regression models, using either explicit or contextualized word embeddings, predict mean values assigned sentences windows, as well their standard...
The recent past has highlighted the influential role of social networks and online media in shaping public debate on current affairs political issues. This paper is focused studying politically-motivated actors their strategies for influencing manipulating opinion online: partisan media, state-backed propaganda, post-truth politics. In particular, we present quantitative research presence impact these three `Ps' Twitter debates two contexts: (i) run up to UK EU membership referendum...
Detecting and characterizing people with mental disorders is an important task that could help the work of different healthcare professionals. Sometimes, a diagnosis for specific requires long time, possibly causing problems because being diagnosed can give access to support groups, treatment programs, medications might patients. In this paper, we study problem exploiting supervised learning approaches, based on users' psychometric profiles extracted from Reddit posts, detect users dealing...
The recent past has highlighted the influential role of social networks and online media in shaping public debate on current affairs political issues. This paper is focused studying politically-motivated actors their strategies for influencing manipulating opinion online: partisan media, state-backed propaganda, post-truth politics. In particular, we present quantitative research presence impact these three `Ps' Twitter debates two contexts: (i) run up to UK EU membership referendum...
Different mental health conditions may lead to suicide, among which depression is one of the most common. One in six people affected by major dies with suicide being second leading cause death teenagers and young adults. Symptoms suicidal risk often remain latent until inevitable occurs, highlights significance prevention when it comes such conditions. Language encodes psychological aspects that reflect a s ubject's p ersonality state mind could be used as proxy identify shifts person's...