Set slide hashes

src/index.jade

@@ -53,37 +53,37 @@ html
          a(href="http://joelpurra.com/projects/masters-thesis/") A video recording is also available.
         p.small Change slide by swiping or using the ← → direction buttons on your keyboard.
 
-      section.single-image(data-bespoke-hash="")
+      section.single-image(data-bespoke-hash="nytimes-screenshot")
         p
           img.rounded(src="images/screenshot-0.png")
         aside
           p Screenshot of the front page of nytimes.com.
 
-      section.single-image(data-bespoke-hash="")
+      section.single-image(data-bespoke-hash="nytimes-disconnect")
         p
           img.rounded(src="images/screenshot-1.png")
         aside
           p Show what Disconnect.me's browser extension shows, and how many trackers are installed.
 
-      section.single-image(data-bespoke-hash="")
+      section.single-image(data-bespoke-hash="nytimes-graph")
         p
           img.rounded(src="images/screenshot-2.png")
         aside
           p Show the graph over domains resources are loaded from; both blocked and unlisted.
 
-      section.single-image(data-bespoke-hash="")
+      section.single-image(data-bespoke-hash="aftonbladet-graph")
         p
           img.rounded(src="images/screenshot-3.png")
         aside
           p Screenshot of aftonbladet.se with the domain graph showing.
 
-      section.single-image(data-bespoke-hash="")
+      section.single-image(data-bespoke-hash="techcrunch-graph")
         p
           img.rounded(src="images/visual-map-disconnect-me.jpg")
         aside
           p An example of a larger domain graph, from techcrunch.com.
 
-      section.single-image(data-bespoke-hash="")
+      section.single-image(data-bespoke-hash="aftonbladet-screenshot")
         p
           a(href="images/www.aftonbladet.se.2014-09-09T173719Z.png", target="_blank")
             img.rounded(src="images/www.aftonbladet.se.2014-09-09T173719Z-1280x960.png")
@@ -245,46 +245,46 @@ html
           p Information inferred from interests include gender, age, social class, income, religion, political views and more. Basically anything. This can also be done from for example search terms or Facebook likes.
           p Information becomes more useful and valuable over time, as more and more data points can be connected to the same user.
 
-      section.centered(data-bespoke-hash="")
+      section.centered(data-bespoke-hash="results")
         h2 On to results
 
-      section.single-graph(data-bespoke-hash="")
+      section.single-graph(data-bespoke-hash="origin-response-codes")
         p
           img(src="images/4.1a.pdf.svg")
         aside
           p Origin response codes, from Figure 4.1(a) in the thesis.
 
-      section.single-graph(data-bespoke-hash="")
+      section.single-graph(data-bespoke-hash="origin-redirects")
         p
           img(src="images/4.1b.pdf.svg")
         aside
           p Origin redirects, from Figure 4.1(b).
 
-      section.single-graph(data-bespoke-hash="")
+      section.single-graph(data-bespoke-hash="resource-security")
         p
           img(src="images/4.1c.pdf.svg")
         aside
           p Resource security, from Figure 4.1(c).
 
-      section.single-graph(data-bespoke-hash="")
+      section.single-graph(data-bespoke-hash="secure-resources-graph")
         p
           img(src="images/4.3b.pdf.svg")
         aside
           p Secure resources cumulative distribution formula (CDF) graph, from figure 4.3(b).
 
-      section.single-graph(data-bespoke-hash="")
+      section.single-graph(data-bespoke-hash="resource-distribution")
         p
           img(src="images/4.2a.pdf.svg")
         aside
           p Resource distribution, from Figure 4.2(a).
 
-      section.single-graph(data-bespoke-hash="")
+      section.single-graph(data-bespoke-hash="internal-resources-graph")
         p
           img(src="images/4.3a.pdf.svg")
         aside
           p Internal resources CDF, from Figure 4.3(a).
 
-      section.single-graph(data-bespoke-hash="")
+      section.single-graph(data-bespoke-hash="disconnect-categories")
         p
           img(src="images/4.2b.pdf.svg")
         aside
@@ -300,13 +300,13 @@ html
         aside
           p Taken from Figure 3.1 in the thesis.
 
-      section.single-graph(data-bespoke-hash="")
+      section.single-graph(data-bespoke-hash="disconnect-organizations-graph")
         p
           img(src="images/4.3c.pdf.svg")
         aside
           p Number of Disconnect organizations per domain, from Figure 4.3(c).
 
-      section.single-graph(data-bespoke-hash="")
+      section.single-graph(data-bespoke-hash="top-organizations")
         p
           img(src="images/4.2c.pdf.svg")
         aside
@@ -395,87 +395,87 @@ html
           li Alexa top .se
           li Alexa top .dk
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-01")
         h2 Other findings
         p There are at least as many external resources, meaning as much tracking, on secure as insecure top domains (Figure 4.3(a))
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-02")
         h2 Swedish top/curated domain findings
         p Swedish media seems very social, with the highest Twitter and Facebook coverage (C.11.4)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-03")
         h2 Other findings
         p 50% of top sites always redirect to the www subdomain, 13% always redirect to their primary domain (C.8)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-04")
         h2 Random .se domain findings
         p 58% use content from known trackers (C.11.3)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-05")
         h2 Swedish top/curated domain findings
         p Over 90% of most categories' domains rely on external resources – external resources are considered trackers (C.4)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-06")
         h2 Random .se domain findings
         p Uses more external resources than .dk, but less than .com and .net (C.4)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-07")
         h2 Other findings
         p A few global top domains load more than 75 known trackers on their front page alone (C.11.1)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-08")
         h2 Random .se domain findings
         p Disconnect only detects 3% of external primary domains as trackers (4.3.4)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-09")
         h2 Other findings
         p Disconnect's blocking list only detects 10% of external primary domains as trackers for top website datasets (4.3.4)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-10")
         h2 Other findings
         p Twitter has about half the coverage of Facebook (C.11.4)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-11")
         h2 Swedish top/curated domain findings
         p A single visit to each media sites would leak information to at least 57 organizations (C.11.1)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-12")
         h2 Other findings
         p 78% of 123,000 HTTP-www variation domains call external domains (C.5)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-13")
         h2 Random .se domain findings
         p Many random domains use only external resources due to being parked 4.2 or redirecting away from the origin domain (C.8)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-14")
         h2 Swedish top/curated domain findings
         p 25% of Swedish municipalities responding to secure requests load 90% of their resources securely – it's close, but still considered insecure (Figure 4.3(b))
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-15")
         h2 Swedish top/curated domain findings
         p Financial instititions redirect from secure to insecure sites for 20% of responding domains (C.8)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-16")
         h2 Other findings
         p 94% of 5,959 HTTPS-www variation domains call external domains (C.5)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-17")
         h2 Swedish top/curated domain findings
         p 70% use content from known trackers (C.11.3)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-18")
         h2 Random .se domain findings
         p 39% use only external resources (Figure 4.2(a))
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-19")
         h2 Random .se domain findings
         p Over 40% use Google Analytics or Google API (C.11.2)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-20")
         h2 Swedish top/curated domain findings
         p Only 13 of 290 municipalities have fully secure websites; no Swedish media sites are completely secure (C.7)
 
-      section.single-factoid(data-bespoke-hash="")
+      section.single-factoid(data-bespoke-hash="factoid-21")
         h2 Random .se domain findings
         p Only 0.3% respond to secure requests, in line with .dk and .net, while .com has 0.5-0.6% response rate (C.2)