10. Data and procedures
March 2007 âApril 2008
136,929Â projects
11,861Â remixes
Coded comments (2 coders)
Project metadata
11. Comment categories
plagiarism accusation positiveÂ
âHello mr plagiaristâ, âLove what you did with my
âCopy-cat!â code! Great idea!â
Â
hinting plagiarism  negativeÂ
âI mostly pretty much made âAlright you crap eating
this whole entire gameâ thumb sucking babyâ
none of the above
âb for peanut butter jelly time!â
Â
no commentÂ
â â
12. Study 1: How do people respond
to remixing?
1.What proportion of users respondÂ
positively/negatively when their project isÂ
remixed?
2.What proportion of users accuse remixers ofÂ
plagiarism when their project is remixed?
15. Study 2: When do creators accuse
remixers of plagiarism?
H1. Originators of more complicated projectsÂ
are more likely to make plagiarism accusations.
H2. Originators are less likely to accuseÂ
remixers of plagiarism when their project is a
remix itself.
H3. Originators are less likely to accuseÂ
remixers of plagiarism if they have shared at
least one remix.
16. Study 2: Data
Coded comments from remix pairs that were viewed by
originator. (n=3,742)
Question predictors:Â
â
 Project complexity (number of sprites) (H1)
â
 Was project a remix itself? (H2)
â
 Had originator remixed? (H3)
Controls for:
â
 age (creator and remixer)
â
 gender (creator)
â
 shared date
18. Study 2: Results (H1)
H1: Authors of larger or more complicated projects will beÂ
more likely to accuse remixers of their work of plagiarism.
Finding:
Support
Â
Â
 Â
Â
Â
19. Study 2: Results (H2)
H2: Originators will be less likely to accuse remixers of theirÂ
projects of plagiarism when the remixed project is itself a remix.
Finding:
    No Support
Â
Â
 Â
Â
Â
Â
20. Study 2: Results (H3)
H3: Originators will be less likely to accuse remixers of theirÂ
projects of plagiarism if they have shared at least one remix
themselves.
Finding:
No Support
Â
Â
 Â
Â
Â
22. Study 3: Original/Remix Similarity
H4. Originators are more likely to accuse remixers ofÂ
plagiarism when the remixed project and its antecedent areÂ
more similar to each other.
Data/Procedure:
⹠240 pairs of remixes
o 40 for each category in the initial coding scheme
⹠Coded from:
o 1Â (can't tell they're related)Â to
o 5Â (can't tell they're different)
23. Study 3: Results
Finding:
SupportÂ
Â
Details:
 Projects marked as plagiarism (m=4.40, sd=.65) wereÂ
more similar than:
o negative (m=3.93, sd=1.02) *
o positive (m=3.75, sd=.85) **
o hinting plagiarism (m=3.46, sd=1.30) ***
o no comment (m=3.65, sd=1.14) ***
o other (m=3.53, sd=.85) ***
Â
(*** p < .001; ** p < 0.01; * p < 0.1)
29. Prototypical plots from fitted logistic model showing predicted probability of
eliciting a plagiarism accusations for projects created by 12 year old males in
Scratch's 35th week. Panel 1 (top) shows the effects of additional sprites (through
90th percentile). Panels 2 and 3 (bottom) hold sprites constant at the sample
median (5). (n=3742)