CSM Homework 2 Summary SELFIECITY

CSM Homework 2 Summary
SELFIECITY
EPFL CSM Course 2014
Darshan Santani
Idiap Research Institute
23 May 2014
Q1: Why do you think the researchers picked those five specific cities for the study?
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Big “metropolis” cities with cosmopolitan flavor
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Cultural diversity
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Spatial diversity spanning 4 continents
Q2: How does the percentage of detected selfies compare to the "Faces engage us“ paper?
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Hard to differentiate an image containing a “face” and a “selfie”
Between 35% of images on Selfiecity are selfies, while 25% of images contain a face in the paper
Q3: Why do you think more women appear as taking more selfies?
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Seeking attention (appearance, face, fashion)
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Self promotion (showoff)
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Gender bias on Instagram (Pinterest)
Q4: How does this result compare to the findings in the "Faces engage us“ paper? If it doesn't agree, why could this is occurring?
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Comparison does not make sense as the objective of both these research are different In the paper, % of images containing a female face is slightly higher than an image containing a male face (~1.15), which itself is contradictory to the results of Selfiecity (Caveat: Q2)
Q5: Are there any results specially interesting for you? If so, why?
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Analyzing head tilt
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Smile (“Pursuit of Happyness”? streotypes)
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Brazilian and Thai people tend to be more cheerful and happy, while Americans more neutral, while Germans/Russians more serious
Q6: Are there any results specially surprising/unexpected? If so, why?
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Just 4% selfies, expected more!
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Differences in smile behavior (Cultural? Climate?)
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Gender bias particularly evident in Moscow
Q7: What did you appreciate the most from the site?
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“Selfexploratory” tool (and its filters)
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Website design and Visualization
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Interesting area of research
Q8: What are the main limitations of the study/website?
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More data
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More cities ●
Size (big and small)
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Culturally diverse (Japan/Korea/China)
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Liberal vs conservative
Q9: Provide one idea that you could study with this data or that you could use to extend this concept?
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Statistical comparison of selfies with their metadata (likes/comments)
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What adjectives follow a “happy" selfie or a “serious" selfie?
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Cross city/culture analysis
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Temporal analysis of selfies with mood
Q10: How would you feel if you discovered your own face (or of someone you knew) in the dataset? Would you do something about it? If so, what?
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Demand immediate removal – 4/11 (36.36%)
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Do not mind – 7/11 (63.64%)
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(Pleasantly) surprised – 2/7 (28.57%)
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Anything for research – 3/7 (42.86%)
Q & A
Email: [email protected]
Twitter: @SabMayaHai
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