# data[].attributes.body
Yes

# data[].attributes.headline
I know I can make many facial expressions, but I am not sure if any were because I was being biased.

# data[].attributes.subject
I know I can make many facial expressions, but I am not sure if any were because I was being biased.

# data[].attributes.body
Yes

# data[].attributes.headline
different judgements were made based on the way he was dressed. 

# data[].attributes.subject
different judgements were made based on the way he was dressed. 

# data[].attributes.body
Hurt and angry that both he and his son weee viewed this way.

# data[].attributes.body
Stereotyping

# data[].attributes.headline
Hard to admit, but so many non-verbal looks come out when I am dealing with traffic. 

# data[].attributes.subject
Hard to admit, but so many non-verbal looks come out when I am dealing with traffic. 

# data[].attributes.headline
He was being judge because of his color 

# data[].attributes.subject
He was being judge because of his color 

# data[].attributes.body
Judgemental, negative

# data[].attributes.body
Yes

# data[].attributes.body
He must have felt uncomfortable but knew who he was and was still confident.

# data[].attributes.body
Judgemental

# data[].attributes.body
Sad

# data[].attributes.body
By the look in his face- ashamed of the people’s attitudes

# data[].attributes.body
Stereotyping

# data[].attributes.body
People judging each other based on looks.

# data[].attributes.headline
He might have been worried about the future for his son

# data[].attributes.subject
He might have been worried about the future for his son

# data[].attributes.body
He was going to do something because of the looks and descrimination he was going through

# data[].attributes.headline
He observed a lot. Scanned each scene and the people in it. Stayed aware of the environments he found himself in. Walked with confidence. 

# data[].attributes.subject
He observed a lot. Scanned each scene and the people in it. Stayed aware of the environments he found himself in. Walked with confidence. 

# data[].attributes.body
Respectful, minding his own business

# data[].attributes.body
Negative

# data[].attributes.body
disappointed

# data[].attributes.headline
honestly, none.... I just saw a man who was being looked at with so much judgment...

# data[].attributes.subject
honestly, none.... I just saw a man who was being looked at with so much judgment...

# data[].attributes.body
Empathetic

# data[].attributes.body
That he and his son were being judged based on appearance.

# data[].attributes.body
uncomfortable or uneasy

# data[].attributes.body
Working class

# data[].attributes.body
Helpless and judged.

# data[].attributes.body
Someone with more power than the ones rejecting him

# data[].attributes.body
Misunderstood

# data[].attributes.body
People were judgmental.

# data[].attributes.body
Uneasy

# data[].attributes.headline
Reactive toward the observers in each scene. Not to assume because they have light skin that they are "white dominate culture" or will be violent. 

# data[].attributes.subject
Reactive toward the observers in each scene. Not to assume because they have light skin that they are "white dominate culture" or will be violent. 

# data[].attributes.body
Judged

# data[].attributes.body
I personally didn’t have any, but may be the people on the video had bias because of his race

# data[].attributes.headline
I'm watching on a smaller screen, I thought it was a funeral until I heard "all rise"

# data[].attributes.subject
I'm watching on a smaller screen, I thought it was a funeral until I heard "all rise"

# data[].attributes.headline
That the video was going to present the main characters in a stereotypical way. 

# data[].attributes.subject
That the video was going to present the main characters in a stereotypical way. 

# data[].attributes.body
On this video People in the video were separated, there were helpful connections, people were ignored based on their color.