Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
A systematic review of machine learning techniques for stance detection and its applications
Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …
in the variety and volume of user-generated content. In this regard, considerable research …
Gender bias in machine translation
Abstract Machine translation (MT) technology has facilitated our daily tasks by providing
accessible shortcuts for gathering, processing, and communicating information. However, it …
accessible shortcuts for gathering, processing, and communicating information. However, it …
Can large language models transform computational social science?
Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
Essay content and style are strongly related to household income and SAT scores: Evidence from 60,000 undergraduate applications
There is substantial evidence of the relationship between household income and
achievement on the standardized tests often required for college admissions, yet little …
achievement on the standardized tests often required for college admissions, yet little …
Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator®
MH Amirhosseini, H Kazemian - Multimodal Technologies and Interaction, 2020 - mdpi.com
Neuro Linguistic Programming (NLP) is a collection of techniques for personality
development. Meta programmes, which are habitual ways of inputting, sorting and filtering …
development. Meta programmes, which are habitual ways of inputting, sorting and filtering …
Human migration: The big data perspective
How can big data help to understand the migration phenomenon? In this paper, we try to
answer this question through an analysis of various phases of migration, comparing …
answer this question through an analysis of various phases of migration, comparing …