Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis

D Azucar, D Marengo, M Settanni - Personality and individual differences, 2018 - Elsevier
The growing use of social media among Internet users produces a vast and new source of
user generated ecological data, such as textual posts and images, which can be collected …

[HTML][HTML] Social networking sites, depression, and anxiety: a systematic review

EM Seabrook, ML Kern, NS Rickard - JMIR mental health, 2016 - mental.jmir.org
Background: Social networking sites (SNSs) have become a pervasive part of modern
culture, which may also affect mental health. Objective: The aim of this systematic review …

Textual analysis in accounting: What's next?

K Bochkay, SV Brown, AJ Leone… - Contemporary …, 2023 - Wiley Online Library
Natural language is a key form of business communication. Textual analysis is the
application of natural language processing (NLP) to textual data for automated information …

Computational grounded theory: A methodological framework

LK Nelson - Sociological Methods & Research, 2020 - journals.sagepub.com
This article proposes a three-step methodological framework called computational grounded
theory, which combines expert human knowledge and hermeneutic skills with the …

Detecting and monitoring hate speech in Twitter

JC Pereira-Kohatsu, L Quijano-Sánchez, F Liberatore… - Sensors, 2019 - mdpi.com
Social Media are sensors in the real world that can be used to measure the pulse of
societies. However, the massive and unfiltered feed of messages posted in social media is a …

Closed-and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.

JC Eichstaedt, ML Kern, DB Yaden… - Psychological …, 2021 - psycnet.apa.org
Technology now makes it possible to understand efficiently and at large scale how people
use language to reveal their everyday thoughts, behaviors, and emotions. Written text has …

Social-media data for urban sustainability

RT Ilieva, T McPhearson - Nature Sustainability, 2018 - nature.com
A voluminous and complex amount of information—'big data'—from social media such as
Twitter and Flickr is now ubiquitous and of increasing interest to researchers studying …

A text classification framework for simple and effective early depression detection over social media streams

SG Burdisso, M Errecalde… - Expert Systems with …, 2019 - Elsevier
With the rise of the Internet, there is a growing need to build intelligent systems that are
capable of efficiently dealing with early risk detection (ERD) problems on social media, such …

" Algorithms ruin everything" # RIPTwitter, Folk Theories, and Resistance to Algorithmic Change in Social Media

MA DeVito, D Gergle, J Birnholtz - … of the 2017 CHI conference on human …, 2017 - dl.acm.org
As algorithmically-driven content curation has become an increasingly common feature of
social media platforms, user resistance to algorithmic change has become more frequent …

Depression, negative emotionality, and self-referential language: A multi-lab, multi-measure, and multi-language-task research synthesis.

AM Tackman, DA Sbarra, AL Carey… - Journal of personality …, 2019 - psycnet.apa.org
Depressive symptomatology is manifested in greater first-person singular pronoun use (ie, I-
talk), but when and for whom this effect is most apparent, and the extent to which it is specific …