Joined 15 years ago
Imagine every time when people infer seemingly-obvious extrapolations from data. This book addresses that phenomenon to make you more self-conscious about the limitations of data and the constant need for more research.
If you have never seen the 2-season TV series (and 3 additional films), "Ghost in the Shell: Stand Alone Complex" (https://en.wikipedia.org/wiki/Ghost_in_the_Shell:_Stand_Alon...), it is by far the best contemporary outlook on near-future internet technology still. Black Mirror is up there, but I think that Ghost in the Shell: SAC presents this cultural criticism in a much stronger (ie., less unhappy) tone.
I think one easy improvement could be putting some headers throughout, so the reader has a better sense of the outline, structure, and flow of your argument. Personally, I'd also love to see more comparisons across games: like, why does Cave Story matter in the context of the other games of its time (or even games that have come before)?
But on another note, if you're fascinated by this history, I highly recommend Fred Turner's excellent 2008 book, "From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network, and the Rise of Digital Utopianism" (https://books.google.com/books?id=2SNFpgX_WigC). His more recent article, "Burning Man at Google: a cultural infrastructure for new media production," is also a great read (http://nms.sagepub.com/content/11/1-2/73 ; http://web.stanford.edu/~fturner/Turner%20Burning%20Man%20at...)
Honestly, this perception – that they try to place secondary – is KEY. Living in Japan, it's a stark contrast to walking around the States in any major city. Japan feels – and is – significantly safer.
Miku is likely part of my dissertation; extremely outdated research page here: http://alexleavitt.com/vocaloid
I think there's an important control here: number of followers per user. It'd be interesting to see how followers would affect the model, especially because you could assume that "knowing to add more hashtags" likely correlates with "use of the platform," which they likely correlates with "increased # followers," who can then produce more likes on each photo.
EDIT: Another thought: if you're looking at # likes, you might want to go for a negative binomial model instead of an OLS regression, because it'll account for the dependent variable being a "count" measure.
