1500 Word MTU

So has anyone made a poster with Udi Manbar's "It's our problem" statement?

It was one of the more inspiring things I had seen when I was watching old TFIFs (when we could do that..)

See the attached Noogler training deck and consider how things have changed today. (Also a reminder of go/gthink and the insight reports on https://sites.google.com/a/google.com/gthink/g/resources/analyst-insights-reports)

if users can't spell, it's our problem

if they don't know how to form the query, it's our problem

if they don't know what words to use, it's our problem

if they can't speak the language, it’s our problem

if there is not enough content on the web,
it’s our problem

if the web is too slow, it’s our problem

https://docs.google.com/presentation/d/1ZBLK7WfoLHRveZs8FiSlMvgVlkKWNKDhiEgi2Ocy4W8/edit#slide=id.i1...

Found some weekend reading based on the abstract alone.

_Although it has been a part of the dark underbelly of the Internet since its inception, recent events have brought the discussion board site 4chan to the forefront of the world's collective mind. In particular, /pol/, 4chan's "Politically Incorrect" board has become a central figure in the outlandish 2016 Presidential election. Even though 4chan has long been viewed as the "final boss of the Internet," it remains relatively unstudied in the academic literature.
In this paper we analyze /pol/ along several axes using a dataset of over 8M posts. We first perform a general characterization that reveals how active posters are, as well as how some unique features of 4chan affect the flow of discussion. We then analyze the content posted to /pol/ with a focus on determining topics of interest and types of media shared, as well as the usage of hate speech and differences in poster demographics. We additionally provide quantitative evidence of /pol/'s collective attacks on other social media platforms. We perform a quantitative case study of /pol/'s attempt to poison anti-trolling machine learning technology by altering the language of hate on social media. Then, via analysis of comments from the 10s of thousands of YouTube videos linked on /pol/, we provide a mechanism for detecting attacks from /pol/ threads on 3rd party social media services._

https://arxiv.org/abs/1610.03452

#googplus

Paul Lindner