UNDERSTANDING AND ENGAGING YOUTUBE COMMUNITIES

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UNDERSTANDING AND ENGAGING YOUTUBE COMMUNITIES ( understanding-and-engaging-youtube-communities )

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(p=.003) with a reliable sample size (n=15). Direct to Camera and Producer Experience videos also had a larger percentage of Creator Community and YouTube Community comments, but they both were only significant to the .075 level and not the .05 level. Advice 9% General Conversation 55% Personal Story YouTube Community Videos Subscribing 5% 28% 2% 32% 13% 43% 10% 40% .229 .003* 11% .002* 6% .075 19% .000* 1% .533 Table 6: Comment Categories by Video Format Comment Category Present Direct to Camera Format Voice Over Format Scripted Format Interview Format Producer Experience Format Signif icanc e Information 13% 15% 6% 13% 7% .265 Opinion 61% 60% 72% 60% 63% .636 Conversation/ Joke 7% 5% 15% 26% 3% .000* 27% 6% 7% 3% 12% 0% 15% 0% 12% 0% 2% 2% 10% 0% 3% 0% Creator Community 21% 15% 8% 13% 24% .072 Site Process 10% 20% 5% 3% 22% .001* Commenting .7% .5% 3% 0% 2% .313 Video Process 7% 12% 13% 7% 12% .481 When analyzing how the show vertical category influenced the YouTube comments, I also used a cross tabulation test with the same limitations that were mentioned previously. Almost every comment category experienced significant differences based on the show vertical, except for the Advice and Video Process comments that did not vary significantly by vertical. Information comments occurred significantly more in Education and Science & Technology themed videos (p=.006). This is likely largely due to the informational nature of these videos themselves. The sub-comment categories, requesting and offering information, were found not to vary significantly between content verticals. Opinion comments were strongly present in Pet & Animal, Music, Film & Animation and People & Blog videos, but were less represented in Gaming, Education, 29

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