Stance detection on social media: State of the art and trends
Stance detection on social media is an emerging opinion mining paradigm for various social
and political applications in which sentiment analysis may be sub-optimal. There has been a …
and political applications in which sentiment analysis may be sub-optimal. There has been a …
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 …
Understanding and mitigating annotation bias in facial expression recognition
The performance of a computer vision model depends on the size and quality of its training
data. Recent studies have unveiled previously-unknown composition biases in common …
data. Recent studies have unveiled previously-unknown composition biases in common …
Automated visual analysis for the study of social media effects: Opportunities, approaches, and challenges
To advance our understanding of social media effects, it is crucial to incorporate the
increasingly prevalent visual media into our investigation. In this article, we discuss the …
increasingly prevalent visual media into our investigation. In this article, we discuss the …
An agenda for studying credibility perceptions of visual misinformation
Today's political misinformation has increasingly been created and consumed in visual
formats, such as photographs, memes, and videos. Despite the ubiquity of visual media and …
formats, such as photographs, memes, and videos. Despite the ubiquity of visual media and …
What people think AI should infer from faces
S Engelmann, C Ullstein… - Proceedings of the …, 2022 - dl.acm.org
Faces play an indispensable role in human social life. At present, computer vision artificial
intelligence (AI) captures and interprets human faces for a variety of digital applications and …
intelligence (AI) captures and interprets human faces for a variety of digital applications and …
Diagnosing gender bias in image recognition systems
C Schwemmer, C Knight, ED Bello-Pardo… - …, 2020 - journals.sagepub.com
Image recognition systems offer the promise to learn from images at scale without requiring
expert knowledge. However, past research suggests that machine learning systems often …
expert knowledge. However, past research suggests that machine learning systems often …
Gender slopes: Counterfactual fairness for computer vision models by attribute manipulation
J Joo, K Kärkkäinen - Proceedings of the 2nd international workshop on …, 2020 - dl.acm.org
Automated computer vision systems have been applied in many domains including security,
law enforcement, and personal devices, but recent reports suggest that these systems may …
law enforcement, and personal devices, but recent reports suggest that these systems may …
Explaining deep convolutional neural networks via latent visual-semantic filter attention
Interpretability is an important property for visual models as it helps researchers and users
understand the internal mechanism of a complex model. However, generating semantic …
understand the internal mechanism of a complex model. However, generating semantic …
[HTML][HTML] Image as data: Automated content analysis for visual presentations of political actors and events
J Joo, ZC Steinert-Threlkeld - Computational Communication …, 2022 - aup-online.com
Images matter because they help individuals evaluate policies, primarily through emotional
resonance, and can help researchers from a variety of fields measure otherwise difficult to …
resonance, and can help researchers from a variety of fields measure otherwise difficult to …