Abstract We draw upon theories of social media engagement to explore the factors affecting the success of the various influencer types, based on the size of their audience. We use the social media content of 8,076 influencers and employ sentiment analysis of text and…
Tag: Facial Recognition
Less is more: Engagement with the content of social media influencers
Abstract We draw upon theories of social media engagement to explore the factors affecting the success of the various influencer types, based on the size of their audience. We use the social media content of 8,076 influencers and employ sentiment…
Facial recognition linked to close social bonds, not social butterflies
Do you have trouble recognising faces, or do you never forget a face? The better you are at facial recognition, the more supportive relationships you are likely to have, regardless of your personality type.
Smartphone app uses AI to detect depression from facial cues
Dartmouth researchers report they have developed the first smartphone application that uses artificial intelligence paired with facial-image processing software to reliably detect the onset of depression before the user even knows something is wrong.
SMU lab creating large synthetic datasets to reduce bias, preserve privacy in AI facial recognition systems
The quality of any artificial intelligence (AI) model relies on the data it is given. That is why researchers at SMU are creating large datasets to address bias and fairness issues found in facial recognition (FR) technology.
Airport Screening While Wearing Masks? Facial Recognition Tech Shows up to 96% Accuracy in Recent Test
A controlled scenario test by DHS S&T shows promising results for facial recognition technologies to accurately identify individuals wearing protective face masks.
Facing up to the reality of politicians’ Instagram posts
A University of Georgia researcher used computer vision to analyze thousands of images from over 100 Instagram accounts of United States politicians and discovered posts that showed politicians’ faces in nonpolitical settings increased audience engagement over traditional posts such as politicians in professional or political settings.
New study reveals areas of brain where recognition and identification occur
Using “sub-millimeter” brain implants, researchers at The University of Texas Health Science Center at Houston (UTHealth), have been able to determine which parts of the brain are linked to facial and scene recognition.
HU facial recognition software predicts criminality
A group of Harrisburg University of Science and Technology students and professors have developed an automated computer classifier capable of predicting with 80% accuracy and no racial bias whether someone is likely to be a criminal based solely on a picture of their face.
Jonathan W. Korn, a PhD student in Harrisburg University of Science and Technology’s Data Science program and a NYPD veteran; Prof. Nathaniel J.S. Ashby, and Prof. Roozbeh Sadeghian’s research titled “A Deep Neural Network Model to Predict Criminality Using Image Processing” will appear in the forthcoming Springer Nature – Research Book Series: Transactions on Computational Science & Computational Intelligence
‘Omnipresent surveillance’: Facial recognition may transform schools into prisons
The Lockport City School District in upstate New York has adopted facial recognition technology to monitor who is on school grounds, becoming the first public school district in the state to do so. Stephen Wicker, professor of electrical and computer…