What demographic attributes do our digital footprints reveal? A systematic review
J Hinds, AN Joinson - PloS one, 2018 - journals.plos.org
To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …
demonstrated that the digital traces left by individuals as they browse and interact with …
Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media
This paper presents a comprehensive evaluation of data pre-processing and word
embedding techniques in the context of Arabic document classification in the domain of …
embedding techniques in the context of Arabic document classification in the domain of …
Coopnet: Multi-modal cooperative gender prediction in social media user profiling
The principal way of performing user profiling is to investigate accumulated social media
data. However, the problem of information asymmetry generally exists in user generated …
data. However, the problem of information asymmetry generally exists in user generated …
Trustworthiness of health-related information on Arabic social media
Y Albalawi - 2022 - researchrepository.ul.ie
Social media (SM) platforms play a vital role in disseminating health-related information.
However, evidence suggests that Twitter posts (ie, tweets) are often inaccurate; for example …
However, evidence suggests that Twitter posts (ie, tweets) are often inaccurate; for example …
User Modeling in Social Media: Gender and Age Detection
S Daneshvar - 2019 - ruor.uottawa.ca
Author profiling is a field within Natural Language Processing (NLP) that is concerned with
identifying various characteristics and demographic factors of authors, such as gender, age …
identifying various characteristics and demographic factors of authors, such as gender, age …