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 …
[PDF][PDF] Detection of user demographics on social media: A review of methods and recommendations for best practices
N Cesare, C Grant, EO Nsoesie - arXiv preprint arXiv:1702.01807, 2017 - oudatalab.com
Researchers in fields such as sociology, demography and public health, have used data
from social media to explore a diversity of questions. In public health, researchers use data …
from social media to explore a diversity of questions. In public health, researchers use data …
Multimodal mental health analysis in social media
Depression is a major public health concern in the US and globally. While successful early
identification and treatment can lead to many positive health and behavioral outcomes …
identification and treatment can lead to many positive health and behavioral outcomes …
[HTML][HTML] Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data
Large-scale geotagged social media data have been increasingly used for exploring human
movement patterns in cities. Challenges of this new data type, such as non-representative …
movement patterns in cities. Challenges of this new data type, such as non-representative …
[HTML][HTML] Gender prediction with descriptive textual data using a machine learning approach
Social media are well-established means of online communication, generating vast amounts
of data. In this paper, we focus on Twitter and investigate behavioural differences between …
of data. In this paper, we focus on Twitter and investigate behavioural differences between …
Bleaching text: Abstract features for cross-lingual gender prediction
R Van Der Goot, N Ljubešić, I Matroos… - arXiv preprint arXiv …, 2018 - arxiv.org
Gender prediction has typically focused on lexical and social network features, yielding
good performance, but making systems highly language-, topic-, and platform-dependent …
good performance, but making systems highly language-, topic-, and platform-dependent …
Gender mismatch and bias in people‐centric operations: Evidence from a randomized field experiment
Research at the interface of operations management (OM) and gender bias has mostly
focused on operational outcomes such as hiring decisions on behalf of the employer (or …
focused on operational outcomes such as hiring decisions on behalf of the employer (or …
Multilingual author profiling on Facebook
Author profiling is the identification of demographic features of an author by examining his
written text. Recently, it has attracted the attention of research community due to it's potential …
written text. Recently, it has attracted the attention of research community due to it's potential …
Author profiling in code-mixed WhatsApp messages using stacked convolution networks and contextualized embedding based text augmentation
VS Devi, S Kannimuthu - Neural Processing Letters, 2023 - Springer
The increasing use of social media to communicate is an emerging trend compared to
traditional phone calls and SMS. WhatsApp is one of the popular social messaging …
traditional phone calls and SMS. WhatsApp is one of the popular social messaging …