Contemporary social movements in a hybrid media environment
Media are central to the dynamics of protest and social movements. Contemporary social
movements face a shifting environment composed of new media technologies and platforms …
movements face a shifting environment composed of new media technologies and platforms …
Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
K Karkkainen, J Joo - Proceedings of the IEEE/CVF winter …, 2021 - openaccess.thecvf.com
Existing public face image datasets are strongly biased toward Caucasian faces, and other
races (eg, Latino) are significantly underrepresented. The models trained from such datasets …
races (eg, Latino) are significantly underrepresented. The models trained from such datasets …
Casm: A deep-learning approach for identifying collective action events with text and image data from social media
Protest event analysis is an important method for the study of collective action and social
movements and typically draws on traditional media reports as the data source. We …
movements and typically draws on traditional media reports as the data source. We …
# RoeOverturned: Twitter Dataset on the Abortion Rights Controversy
Abstract On June 24, 2022, the United States Supreme Court overturned landmark rulings
made in its 1973 verdict in Roe v. Wade. The justices by way of a majority vote in Dobbs v …
made in its 1973 verdict in Roe v. Wade. The justices by way of a majority vote in Dobbs v …
Learning to see: Convolutional neural networks for the analysis of social science data
We provide an introduction of the functioning, implementation, and challenges of
convolutional neural networks (CNNs) to classify visual information in social sciences. This …
convolutional neural networks (CNNs) to classify visual information in social sciences. This …
[图书][B] Images as data for social science research: An introduction to convolutional neural nets for image classification
NW Williams, A Casas, JD Wilkerson - 2020 - cambridge.org
Images play a crucial role in shaping and reflecting political life. Digitization has vastly
increased the presence of such images in daily life, creating valuable new research …
increased the presence of such images in daily life, creating valuable new research …
[HTML][HTML] Is more always better? Exploring field survey and social media indicators of quality of urban greenspace, in relation to health
Despite the growing body of research exploring health benefits of greenspace, most studies
treat greenspace as homogenous. There remains a need to focus on 'quality'rather than …
treat greenspace as homogenous. There remains a need to focus on 'quality'rather than …
An analysis of emotions and the prominence of positivity in# BlackLivesMatter tweets
Emotions are a central driving force of activism; they motivate participation in movements
and encourage sustained involvement. We use natural language processing techniques to …
and encourage sustained involvement. We use natural language processing techniques to …
[PDF][PDF] Сеть или текст? Факторы распространения протеста в социальных медиа: теория и анализ данных
АС Ахременко, ДК Стукал, А Петров… - Полис. Политические …, 2020 - researchgate.net
Социальные сети способны аккумулировать и концентрировать протестный
потенциал, который может затем выплескиваться на улицу. Сетевые связи между …
потенциал, который может затем выплескиваться на улицу. Сетевые связи между …
Data subjects' conceptualizations of and attitudes toward automatic emotion recognition-enabled wellbeing interventions on social media
K Roemmich, N Andalibi - Proceedings of the ACM on Human-Computer …, 2021 - dl.acm.org
Automatic emotion recognition (ER)-enabled wellbeing interventions use ER algorithms to
infer the emotions of a data subject (ie, a person about whom data is collected or processed …
infer the emotions of a data subject (ie, a person about whom data is collected or processed …