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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …