Article -> Article Details

A new study reveals the surprising similarities between human emotion across the world. All humans use variations of the same facial expressions in similar social contexts, such as smiles, frowns, grimaces and scowls.

Through their algorithm, study lead author Alan Cowen, a researcher at UC Berkeley and Google who helped develop the deep neural network algorithm and led the study and study co-lead author Dacher Keltner, a UC Berkeley psychology professor and founding director of the Greater Good Science Center analyzed approximately 6 million video clips uploaded to YouTube from people in 144 countries spanning North, Central and South America, Africa, Europe, the Middle East and Asia.This first of its kind worldwide analysis of how facial expressions are used in everyday life, shows that universal human emotional expressions are more complex than previously assumed by scientists.

A new study reveals the surprising similarities between human emotion across the world. All humans use variations of the same facial expressions in similar social contexts, such as smiles, frowns, grimaces and scowls.

Through their algorithm, study lead author Alan Cowen, a researcher at UC Berkeley and Google who helped develop the deep neural network algorithm and led the study and study co-lead author Dacher Keltner, a UC Berkeley psychology professor and founding director of the Greater Good Science Center analyzed approximately 6 million video clips uploaded to YouTube from people in 144 countries spanning North, Central and South America, Africa, Europe, the Middle East and Asia.This first of its kind worldwide analysis of how facial expressions are used in everyday life, shows that universal human emotional expressions are more complex than previously assumed by scientists.

A new study reveals the surprising similarities between human emotion across the world. All humans use variations of the same facial expressions in similar social contexts, such as smiles, frowns, grimaces and scowls.

Through their algorithm, study lead author Alan Cowen, a researcher at UC Berkeley and Google who helped develop the deep neural network algorithm and led the study and study co-lead author Dacher Keltner, a UC Berkeley psychology professor and founding director of the Greater Good Science Center analyzed approximately 6 million video clips uploaded to YouTube from people in 144 countries spanning North, Central and South America, Africa, Europe, the Middle East and Asia.This first of its kind worldwide analysis of how facial expressions are used in everyday life, shows that universal human emotional expressions are more complex than previously assumed by scientists.

A new study reveals the surprising similarities between human emotion across the world. All humans use variations of the same facial expressions in similar social contexts, such as smiles, frowns, grimaces and scowls.

Through their algorithm, study lead author Alan Cowen, a researcher at UC Berkeley and Google who helped develop the deep neural network algorithm and led the study and study co-lead author Dacher Keltner, a UC Berkeley psychology professor and founding director of the Greater Good Science Center analyzed approximately 6 million video clips uploaded to YouTube from people in 144 countries spanning North, Central and South America, Africa, Europe, the Middle East and Asia.This first of its kind worldwide analysis of how facial expressions are used in everyday life, shows that universal human emotional expressions are more complex than previously assumed by scientists.

A new study reveals the surprising similarities between human emotion across the world. All humans use variations of the same facial expressions in similar social contexts, such as smiles, frowns, grimaces and scowls.

Through their algorithm, study lead author Alan Cowen, a researcher at UC Berkeley and Google who helped develop the deep neural network algorithm and led the study and study co-lead author Dacher Keltner, a UC Berkeley psychology professor and founding director of the Greater Good Science Center analyzed approximately 6 million video clips uploaded to YouTube from people in 144 countries spanning North, Central and South America, Africa, Europe, the Middle East and Asia.This first of its kind worldwide analysis of how facial expressions are used in everyday life, shows that universal human emotional expressions are more complex than previously assumed by scientists.

A new study reveals the surprising similarities between human emotion across the world. All humans use variations of the same facial expressions in similar social contexts, such as smiles, frowns, grimaces and scowls.

Through their algorithm, study lead author Alan Cowen, a researcher at UC Berkeley and Google who helped develop the deep neural network algorithm and led the study and study co-lead author Dacher Keltner, a UC Berkeley psychology professor and founding director of the Greater Good Science Center analyzed approximately 6 million video clips uploaded to YouTube from people in 144 countries spanning North, Central and South America, Africa, Europe, the Middle East and Asia.This first of its kind worldwide analysis of how facial expressions are used in everyday life, shows that universal human emotional expressions are more complex than previously assumed by scientists.