For Facebook, Google, and Twitter the fight against fake news seems to be two-pronged: De-incentivize the targeted content and provide avenues to correct factual inaccuracies. These are both surface fixes, however, akin to putting caulk on the Grand Canyon.
And, despite grand hand waves, both approaches are reactive. They don’t aim at understanding how this problem became prevalent, or creating a method that attacks the systemic issue. Instead these advertising giants implement new mechanisms by which people can report one-off issues—and by which the platforms will be left playing cat-and-mouse games against fake news—all the while giving no real clear glimpse into their opaque ad platforms.
The problem is that these companies make too much money from ads and elections are a chance to get lots of ads, manipulative or not. For that matter, what political ad doesn’t try to manipulate viewers?
The slashdot story was actually about Mozilla’s Responsible Computer Science Challenge which will support initiatives to embedd ethics in computer science courses. Alas, the efficacy of ethics courses is questionable. Aristotle would say that if you don’t have the disposition to be ethical no amount of training would do any good. It just helps the unethical pretend to be ethical.
One of the problems with e-conferences is that they are local for everyone which means that everyone tunes in and out depending on what they have scheduled rather than devoting the time. When you fly to a conference you can’t be expected to leave the conference for a meeting, but when a conference is local or online we tend to not pay attention as we would when afar.
This has to change if we are to wean ourselves of flying any time we want to pay attention to a conference. We have to learn to be deliberate about allocating time to an e-conference. We have to manifest attention.
Having just finished teaching a course on Big Data and Text Analysis where I taught students Python I can appreciate a well written tutorial on Python. Python Programming for the Humanities by Folgert Karsdorpis a great tutorial for humanists new to programming that takes the form of a series of Jupyter notebooks that students can download. As the tutorials are notebooks, if students have set up Python on their computers then they can use the tutorials interactively. Karsdorp has done a nice job of weaving in cells where the student has to code and Quizes which reinforce the materials which strikes me as an excellent use of the IPython notebook model.
Text Analysis with Topic Models for the Humanities and Social Sciences (TAToM) consists of a series of tutorials covering basic procedures in quantitative text analysis. The tutorials cover the preparation of a text corpus for analysis and the exploration of a collection of texts using topic models and machine learning.
Stéfan Sinclair and I (mostly Stéfan) have also produced a textbook for teaching programming to humanists called The Art of Literary Text Analysis. These tutorials are also written as Jupyter notebooks so you can download them and play with them.
The Canadian Social Knowledge Institute (C-SKI) actively engages issues related to networked open social scholarship: creating and disseminating research and research technologies in ways that are accessible and significant to a broad audience that includes specialists and active non-specialists. Representing, coordinating, and supporting the work of the Implementing New Knowledge Environments (INKE) Partnership, C-SKI activities include awareness raising, knowledge mobilization, training, public engagement, scholarly communication, and pertinent research and development on local, national, and international levels. Originated in 2015, C-SKI is located in the Electronic Textual Cultures Lab in the Digital Scholarship Centre at UVic.
I’ve been playing with DataCamp‘s Python lessons and they are quite good. Python is taught in the context of data analysis rather than the turtle drawing of How to Think Like a Computer Scientist. They have a nice mix of video tutorials and then exercises where you get a tripartite screen (see above.) You have an explanation and instructions on the left, a short script to fill in on the upper-right and interactive python shell where you can try stuff below.
From Slashdot a story about an FBI game/interactive that is online and which aims at Countering Violent Extremism | What is Violent Extremism?. The subtitle is “Don’t Be A Puppet” and the game is part of a collection of interactive materials that try to teach about extremism in general and encourage some critical distance from the extremism. The game has you as a sheep avoiding pitfalls.