Picture CC from DuneChaser Four people got to this blog today searching for “wolverine poems.” I hate to leave people disappointed. I’m not sure which wolverine they’re looking for so I’m covering my bases. Wolverine: The Haiku Wolverine is the man with adamantium bones and sharp claws. Wolverine: The Animal Carcajou, skunk bear, you glutton! I call you out as a big weasel. This did inspire me but it also got me thinking about how many fun sources for poetry/writing prompts that are out there just begging to be used. I’d love to do things with Google Trends. Take today’s (at around 9-10 PM Eastern) trending topics- No. 1 with a bullet is “applebees menuWhich tells you it’s Friday and people have poor taste in restaurants..” I would also be forced to use #44 “goonies 2” Then it’s on to #64 “agent cody banks” and finish it off with #47 “19 pound indonesian baby” and #48 “sycophants definition.” I consulted the Applebee’s menu yet again. It had answers, but not the ones I wanted. I was hungry . . . for knowledge. “Is Goonies 2 an actual possibility? Am I getting my hopes up for an inevitable disappointment?” I wondered again. My mind tends to drift when I am stressed. I tried to relax. I knew Agent Cody Banks was […]
Even the things that you think are pointing you to new material may be further mainstreaming you. Online merchants such as Amazon, iTunes and Netflix may stock more items than your local book, CD, or video store, but they are no friend to “niche culture”. Internet sharing mechanisms such as YouTube and Google PageRank, which distil [sic] the clicks of millions of people into recommendations, may also be promoting an online monoculture. Even word of mouth recommendations such as blogging links may exert a homogenizing pressure and lead to an online culture that is less democratic and less equitable, than offline cultureNote from me- this seems to disregard the impact of online culture on offline culture. I’d say there’s a lot of influence there and that’s only going to increase.. While each customer on average experiences more unique products in Internet World, the recommender system generates a correlation among the customersNote from me- I see this recommender correlation as parallel to the personal correlations people make as they choose RSS feeds, media inputs etc. – that self-created echo chamber. You feel like you’re an outlier but in reality you’re becoming more and more mainstream in that subset. This could explain a lot of things about the edtech blog world.. To use a geographical analogy, in Internet World the customers see […]
APIs can give you much more power but they are often overkill for what people are trying to around here- lightweight social media Here’s a lightweight example of how you can use Google Sheets and the IMPORTXML function to grab quite a bit of data from various video pages with no API or technical skills. Straight off, we’re going to want the URL of the video. We’ll put that in column A and we’ll use it as a variable in all our other formulas. Getting the Paths to the Data =IMPORTXML(A2,”(//*[contains(@class, ‘watch-title’)])”) So how’d that come to be? A2 is just asking what URL we want to go to. The XPATH stuff gets a little more interesting. It’s going to look for any class that is named watch-title. I found out the title was in that div by right clicking on the title and choosing inspect in Chrome. The appended  will only give us the first item that meets those qualifications. Otherwise the title shows up twice. The rest of the formulas are pretty much variations on that theme. =IMPORTXML(A2,”//*[contains(@class, ‘watch-view-count’)]”) – View count =IMPORTXML(A2,”(//*[contains(@class, ‘like-button-renderer-like-button’)])”) – Likes count =IMPORTXML(A2,”(//*[contains(@class, ‘like-button-renderer-dislike-button’)])”) – Dislikes count =IMPORTXML(A2,”(//*[contains(@class, ‘yt-user-info’)])”) – User name Throw in a video of your own if you’d like.