Human rights


Encyclopedia of Violence, Peace, & Conflict (Third Edition)
Volume 2, 2022, Pages 324-331

Across cultures, women prefer participation in nonviolent opposition to government rather than violence. Civil resistance entails intentionally nonviolent acts such as demonstrations, strikes, and nonparticipation to pressure government to respond to demands.

This Research Paper supports SDGs 5 and 10 by applying a decision-tree approach to identify subgroups of women at increased risk of IPV across 48 LMICs and to subsequently help design targeted interventions, and by suggesting the need for population-wide approaches in parallel for a large proportion of women with no identifiable risk factors.
Purpose: The purpose of this study was to explore male nurses’ experiences of workplace gender discrimination and sexual harassment in South Korea. Methods: Phenomenological qualitative methodology exploring male nurses’ experiences was employed to collect data, and thematic analysis of the data was conducted. Research subjects were recruited by convenience and snowball sampling. Ten male nurses participated in individual in-depth interviews via mobile phone. Data were collected from June 15 to July 24, 2020.
Elsevier, Data in Brief, Volume 39, December 2021
Map showing demographics of survey respondents.
The data in this article investigated the extent of human rights awareness in the seven States comprising the Northwest geopolitical zone of Nigeria and its relationship with the characteristics of the population in the light of limited human rights claims in the region. The data was obtained from 780 respondents using stratified and systematic random sampling techniques using with the help of a structured questionnaire.
Roaa Al Feel, an early-career researcher, discusses her passion for using data science for social good. She uses data to reflect living conditions of society, and in the paper published with Patterns in November, the team explores machine learning techniques for the detection of fake news around the Syrian war, demonstrating the efficacy of meta-learning techniques when tackling datasets of a modest size.
This Personal View supports SDGs 3 and 13, drawing attention to how the lived experiences of disability can deepen understanding of climate-resilient development, and how marginalisation increases vulnerability. The paper stresses the importance of solidarity in underpinning social choices.
UN Human Rights Day 2021 campaign photo

Human Rights Day is observed every year on 10 December — the day the United Nations General Assembly adopted, in 1948, the Universal Declaration of Human Rights (UDHR). The UDHR is a milestone document, which proclaims the inalienable rights that everyone is entitled to as a human being - regardless of race, colour, religion, sex, language, political or other opinion, national or social origin, property, birth or other status. Available in more than 500 languages, it is the most translated document in the world.

In this article, we pursue the automatic detection of fake news reporting on the Syrian war using machine learning and meta-learning. The proposed approach is based on a suite of features that include a given article's linguistic style; its level of subjectivity, sensationalism, and sectarianism; the strength of its attribution; and its consistency with other news articles from the same “media camp”. To train our models, we use FA-KES, a fake news dataset about the Syrian war.
A discussion of how well indigenous people should be compensated if their land needs to be developed.
Looks at the mental health of the Black community in the USA in response to police brutality. Ties to reduced inequalities, peace and justice, good health and wellbeing for all.