237 Matching Annotations
  1. Jun 2016
  2. Apr 2016
    1. A who’s who of open pedagogy scholars and web annotation advocates joined, too, including Maha Bali, Robin DeRosa, Jamila Siddiqui, Joe Dillon, Jeremy Dean, Alexandre Enkerli, and Roy Kamada.

      Flattery will lead us nowhere… But it’s still a warm and fuzzy feeling to be in such illustrious company.

    1. The editor of News Genius joined in with snarky and hostile comments.

      Funny how frequently this terms comes up, when talking about Genius. The difference between annotation platforms is significantly a matter of usage. Usage of Genius has a lot to do with snarky comments made by “the smart kid at the back of the class”. My perception of Hypothesis is that it’s much more oriented towards diversifying voices. But that has less to do with technical features of the platform than with the community adopting it.

    1. one of the annotations is simply a link to a Google search for a phrase that’s been used.

      Glad this was mentioned. To the Eric Raymonds of this world, such a response sounds “perfectly legitimate”. But it’s precisely what can differentiate communities and make one more welcoming than the other. Case in point: Arduino-related forums, in contrast with the Raspberry Pi community. Was looking for information about building a device to track knee movement. Noticed that “goniometer” was the technical term for that kind of device, measuring an angle (say, in physiotherapy). Ended up on this page, where someone had asked a legitimate question about Arduino and goniometers. First, the question:

      Trying to make a goniometer using imu (gy-85). Hoe do I aquire data from the imu using the arduino? How do I code the data acquisition? Are there any tutorials avaible online? Thanks =)

      Maybe it wouldn’t pass the Raymond test for “smart questions”, but it’s easy to understand and a straight answer could help others (e.g., me).

      Now, the answer:

      For me, google found 87,000,000 hits for gy-85. I wonder why it failed for you.

      Wow. Just, wow.

      Then, on the key part of the question (the goniometer):

      No idea what that is or why I should have to google it for you.

      While this one aborted Q&A is enough to put somebody off Arduino forever, it’s just an example among many. Like Stack Overflow, Quora, and geek hideouts, Arduino-related forums are filled with these kinds of snarky comments about #LMGTFY.

      Contrast this with the Raspberry Pi. Liz Upton said it best in a recent interview (ca. 25:30):

      People find it difficult to remember that sometimes when somebody comes along… and appears to be “not thinking very hard”, it could well be because they’re ten years old.

      And we understand (from the context and such) that it’s about appearance (not about “not thinking clearly”). It’s also not really about age.

      So, imagine this scenario. You’re teacher a class, seminar, workshop… Someone asks a question about using data from a device to make it into a goniometer. What’s the most appropriate strategy? Sure, you might ask the person to look for some of that information online. But there are ways to do so which are much more effective than the offputting ’tude behind #LMGTFY. Assuming they do search for that kind of information, you might want to help them dig through the massive results to find something usable, which is a remarkably difficult task which is misunderstood by someone who answer questions about goniometers without knowing the least thing about them.

      The situation also applies to the notion that a question which has already been asked isn’t a legitimate question. A teacher adopting this notion would probably have a very difficult time teaching anyone who’s not in extremely narrow a field. (Those teachers do exist, but they complain bitterly about their job.)

      Further, the same logic applies to the pedantry of correcting others. Despite the fact that English-speakers’ language ideology allows for a lot of non-normative speech, the kind of online #WordRage which leads to the creation of “language police” bots is more than a mere annoyance. Notice the name of this Twitter account (and the profile of the account which “liked” this tweet).

      Lots of insight from @BiellaColeman on people who do things “for the lulz”. Her work is becoming increasingly relevant to thoughtful dialogue on annotations.

    2. “The annotations I have seen are often more snark than substance,”

      Same experience, even in the Genius guidelines. The tool’s affordances (and name) revolve around snark. In the abstract, there’s nothing wrong with that. We need spaces for people to have fun, even if it’s at the expense of others. But the startup is based on a very specific idea of what constitutes useful commentary. That idea is closer to pedantry, snark, intellectual bullying, and animated gifs than on respectful exchange.

    1. Academia, academic models, academic publishing, academics, arrogance, blog comments, Blogging, books, cluefulness, comment-fishing, commenting, constructivism, critical thinking, cultural capital, education systems, ethnocentrism, friends, hegemony, humanism, informal learning, intellectual property, intellectualism, journalism, knowledge, knowledge management, knowledge people, language ideology, language sciences, linguistic anthropology, linkfest, literature, Mali, mass media, media, mediascape, online publishing, opinions, participatory culture, performance, product and process, radio, rants, readership, relativism, respect, schools, shameless plug, social capital, social change, social networking, social networks, social publishing, sophistication, writing

      It may annoy many, but overtagging can be playful.

  3. Mar 2016
    1. somewhere between close reading and distributed commentary

      In my wishlist to Jon Udell (still in draft), these two modes can be separate phases with Hypothesis. But in reverse order. First pass is the distributed commentary about the whole piece, similar to social bookmarking and potentially affording a very cursory look (or even just a glance at a headline). It says: “Hey, please read this and tell me what you think!” The second pass could be the deep reading, with one’s personal comments visible, but not influenced by other comments. Then comes the “fun part”, which is also a form of distributed commentary, but is much more conversational. “Distributed” might not be as appropriate, though. At least in computer lingo.

  4. Feb 2016
    1. Educators

      Just got to think about our roles, in view of annotation. Using “curation” as a term for collecting URLs sounds like usurping the title of “curator”. But there’s something to be said about the role involved. From the whole “guide on the side” angle to the issue with finding appropriate resources based on a wealth of expertise.

  5. Jan 2016
  6. Dec 2015
    1. Anyone can say Anything

      The “Open World Assumption” is central to this post and to the actual shift in paradigm when it comes to moving from documents to data. People/institutions have an alleged interest in protecting the way their assets are described. Even libraries. The Open World Assumption makes it sound quite chaotic, to some ears. And claims that machine learning will solve everything tend not to help the unconvinced too much. Something to note is that this ability to say something about a third party’s resource connects really well with Web annotations (which do more than “add metadata” to those resources) and with the fact that no-cost access to some item of content isn’t the end of the openness.

  7. Nov 2015
  8. Oct 2015
  9. Sep 2015
  10. Jul 2015