Words Used at the Democratic and Republican National Conventions

Counting frequently spoken words and phrases at both events.

The New York Times ran a neat story that used text analysis to visualize the differences between Words Used at the Democratic and Republican National Conventions. They used a number of different visualization including butterfly bar graphs like the one above. They also had a form of word bubbles that I thought was less successful.

Media Monitoring of the Past · impresso

Leveraging an unprecedented corpus of newspaper and radio archives, **Impresso – Media Monitoring of the Past** is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment, representation, exploration, and study of historical media across modalities, time, languages, and national borders.

I just learned about the Swiss project  Impresso: Media Monitoring of the Past. This project has an impressive Web application that lets you search across 76 newspapers in two languages from two countries.

Key to the larger project is using machine learning to handle multiple modalities like:

  • News text and radio broadcasts
  • Text and Images
  • French and German
  • Different countries

A Data Lab that uses IPython is coming soon. They also have documentation about a Topic Modelling tool, but I couldn’t find the actual tool.

Anyway, this strikes me as an example of an advanced multi-modal news research environment.

 

Forty years ago Apple debuted a computer that changed our world, for good or ill | Siva Vaidhyanathan | The Guardian

In many ways, the long 21st century began when Apple launched the Macintosh with its ‘1984’ Super Bowl ad

The Guardian has a story about the 40th anniversary of the Apple Macintosh, Forty years ago Apple debuted a computer that changed our world, for good or ill. The famous 1984 Super Bowl Macintosh ad by Ridley Scott was aired on January 22nd, 1984 and announced that on January 24th, the Macintosh would be introduced.

What made the Mac so revolutionary? To be honest, the Mac wasn’t really that innovative. Apple had tried to sell a GUI (Graphical User Interface) computer before in the Lisa, but it was too expensive. The Lisa in turn had be developed using ideas from Xerox Palo Alto Research Center (PARC) that were marketed in the Xerox Star of 1981, which was again too expensive to be influential. What the Mac got right was the price making it affordable. And the rest was history.

The author of the Guardian article, Siva Vaidhyanathan, argues that the Mac and later the iPhone hid the realities of their manufacture and innards. This was a common critique of the GUI, that it hid the way the operating system “really” worked, which was shown presumably by MS Dos.

This move to magic through design has blinded us to the real conditions of most people working and living in the world. A gated device is similar to a gated community. Beyond that, the sealed boxes, once they included ubiquitous cameras and location devices and were connected through invisible radio signals, operate as a global surveillance system that Soviet dictators could never have dreamed of. We bought into a world of soft control beyond Orwell’s imagination as well.

Frankly, I think the argument is exaggerated. Consumer products like cars had been hiding their workings under a trunk long before the Macintosh. For that matter the IBM PCs running MS Dos of that time were really not more open. The command line is an interface as much as a graphical one, it is just a different paradigm, a dialogue interface where you order the machine around instead of a desktop where you manipulate files. The argument seems to be one of association – associating the Mac with a broad generalization about capitalism and then hinting that everything after can be blamed on us wanting what Apple offered. What I remember was struggling to learn the commands of an IBM and then being offered a better designed computer. Sometimes better design isn’t a surveillance plot.

A groundbreaking study shows kids learn better on paper, not screens. Now what?

For ‘deeper reading’ among children aged 10-12, paper trumps screens. What does it mean when schools are going digital?

The title of this Guardian story says it all, A groundbreaking study shows kids learn better on paper, not screens. Now what? The story reports on a study led by Karen Froud at Columbia University titled, Middle-schoolers’ reading and processing depth in response to digital and print media: An N400 study. They found “evidence of differences in brain responses to texts presented in print and digital media, including deeper semantic encoding for print than digital texts.” Paper works better.

John Gabrieli, an MIT neuroscientist who is skeptical about the promises of big tech and its salesmen: “I am impressed how educational technology has had no effect on scale, on reading outcomes, on reading difficulties, on equity issues,”…

The Emergence of Presentation Software and the Prehistory of PowerPoint

PowerPoint presentations have taken over the world despite Edward Tufte’s pamphlet The Cognitive Style of PowerPoint. It seems that in some contexts the “deck” has become the medium of information exchange rather than the report, paper or memo. In Slashdot I came across a link to a MIT Review essay titled, Next slide, please: A brief history of the corporate presentation. Another history is available from the Computer History Museum, Slide Logic: The Emergence of Presentation Software and the Prehistory of PowerPoint.

I remember the beginnings of computer-assisted presentations. My unit at the University of Toronto Computing Services experimented with the first tools and projectors. The three-gun projectors were finicky to set up and I felt a little guilty promoting set ups which I knew would take lots of technical support. In one presentation on digital presentations there was actually a colleague under the table making sure all the technology worked while I pitched it to faculty.

I also remember tools before PowerPoint. MORE was an outliner and thinking tool that had a presentation mode much the way Mathematica does. MORE was developed by Dave Winer who had a nice page on the history of outline processors he worked on here. It he leaves out how Douglas Engelbart’s Mother of All Demos in 1968 showed something like outlining too.

Alas, PowerPoint came to dominate though now we have a bunch of innovative presentation tools that work on the web from Google Sheets to Prezi.

Now back to Tufte. His critique still stands. Presentation tools have a cognitive style that encourages us to break complex ideas into chunks and then show one chunk at a time in a linear sequence. He points out that a well designed handout or pamphlet (like his pamphlet on The Cognitive Style of PowerPoint) can present a lot more information in a way that doesn’t hide the connections. You can have something more like a concept map that you take people through on a tour. Prezi deserves credit for paying attention to Tufte and breaking out of the linear style.

Now, of course, there are AI tools that can generate presentations like Presentations.ai or Slideoo. You can see a list of a number of them here. No need to know what you’re presenting, an AI will generate the content, design the slides, and soon present it too.

40 years of the Nintendo Famicom – the console that changed the games industry

Entering a crowded field, the Nintendo Famicom came to dominate the market in the 1980s, leaving a family orientated legacy that continues to be felt today

The Guardian has a good story on the 40th anniversary of the Nintendo Famicom, 40 years of the Nintendo Famicom – the console that changed the games industry The story quotes James Newman and also mentions Masayuki Uemura who Newman and I knew through the Replaying Japan conferences. Alas, Uemura, who was at Ritsumeikan after he retired from Nintendo, passed in 2021.

The story points out how Nintendo deliberately promoted the Famicom as a family machine that could be hooked up to the family TV (hence “Fami – com.) In various ways they wanted to legitimize gaming as a family experience. By contrast, when Nintendo brought the machine to North America it was remodelled to look like a VCR and called the Nintendo Entertainment System.

U of A computing scientists work with Japanese researchers on virtual reality game to get people out of their seats

U of A computing scientists work with Japanese researchers to refine a virtual and mixed reality video game that can improve motor skills for older adults and sedentary people.

The Folio of the University of Alberta published a story about a trip to Japan that I and others embarked on, U of A computing scientists work with Japanese researchers on virtual reality game to get people out of their seats. Ritsumeikan invited us to develop research collaborations around gaming, language and artificial intelligence. Our visit was a chance to further the collaborations, like the one my colleagues Eleni Stroulia and Victor Fernandez Cervantes are developing with Thawmas Ruck around games for older adults. This inter-university set of collaborations build on projects I was involved in going back to 2011, including a conference (Replaying Japan) and a journal, the Journal of Replaying Japan.

The highlight was the signing of a Memorandum Of Understanding by the two presidents (of U of A and Ritsumeikan). I was also involved as was Professor Nakamura. May the collaboration thrive.

Unitron Mac 512: A Contraband Mac 512K from Brazil

From a paper on postcolonial computing I learned about the Unitron Mac 512: A Contraband Mac 512K from Brazil. For a while Brazil didn’t allow the importation of computers (so as to kickstart their own computer industry.) Unitron decided to reverse engineer the Mac 512K, but Apple put pressure on Brazil and the project was closed down. At least 500 machines were built and I guess some are still in circulation.

The article is Philip, K., et al. (2010). “Postcolonial Computing: A Tactical Survey.” Science Technology Human Values. 37(1).

Though Apple had no intellectual property protection for the Macintosh in Brazil, the American corporation was able to pressure government and other economic actors within Brazil to reframe Unitron’s activities, once seen as nationalist and anti-colonial, as immoral piracy.

Value Sensitive Design and Dark Patterns

Dark Patterns are tricks used in websites and apps that make you buy or sign up for things that you didn’t mean to. The purpose of this site is to spread awareness and to shame companies that use them.

Reading about Value Sensitive Design I came across a link to Harry Brignul’s Dark Patterns. The site is about ways that web designers try to manipulate users. They have a Hall of Shame that is instructive and a Reading List if you want to follow up. It is interesting to see attempts to regulate certain patterns of deception.

Values are expressed and embedded in technology; they have real and often non-obvious impacts on users and society.

The alternative is introduce values and ethics into the design process. This is where Value Sensitive Design comes. As developed by Batya Friedman and colleagues it is an approach that includes methods for thinking-through the ethics of a project from the beginning. Some of the approaches mentioned in the article include:

  • Mapping out what a design will support, hinder or prevent.
  • Consider the stakeholders, especially those that may not have any say in the deployment or use of a technology.
  • Try to understand the underlying assumptions of technologies.
  • Broaden our gaze as to the effects of a technology on human experience.

They have even produced a set of Envisioning Cards for sale.

The Future of Digital Assistants Is Queer

AI assistants continue to reinforce sexist stereotypes, but queering these devices could help reimagine their relationship to gender altogether.

Wired has a nice article on how the The Future of Digital Assistants Is Queer. The article looks at the gendering of virtual assistants like Siri and how it is not enough to just offer male voices, but we need to queer the voices. It mentions the ethical issue of how voice conveys information like whether the VA is a bot or not.