Services like Chegg have become more accessible to students during unproctored exams in the wake of the coronavirus pandemic, causing what UO chemistry professor Shannon Boettcher believes is a “huge problem with academic dishonesty across the nation in the light of remote learning and COVID-19.”
he Digital Millennium Copyright Act’s notice and takedown process requires that service providers remove material that a copyright owner identifies on their website through a valid notice of copyright infringement or become subject to potential secondary liability for assisting with copyright infringement, according to Copyright Alliance.
Chegg Inc. has been sued twice in federal court for claims of copyright infringement, denying allegations in both instances.
Apart from its subscription services, Chegg rents and sells textbooks. The publishing company John Wiley & Sons Inc. filed a lawsuit against Chegg on Dec. 18, 2018, in Manhattan U.S. District Court, alleging that Chegg sold counterfeit versions of its textbooks.
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This $12 Billion Company Is Getting Rich Off Students Cheating Their Way Through Covid
Chegg is based in Santa Clara, California, but the heart of its operation is in India, where it employs more than 70,000 experts with advanced math, science, technology and engineering degrees. The experts, who work freelance, are online 24/7, supplying step-by-step answers to questions posted by subscribers (sometimes answered in less than 15 minutes).
Chegg CEO Dan Rosensweig has profited handsomely. His holdings in Chegg plus after-tax proceeds from stock sales add up to $300 million. Rosensweig, who declined to speak to Forbes,has said that Chegg Study was “not built” for cheating. He describes it instead as the equivalent of an asynchronous, always-on tutor, ready to help students with detailed answers to problems. In a 2019 interview, he said higher education needs to adjust to the on-demand economy, the way Uber or Amazon have.
Throughout the pandemic, schools have spent millions on remote proctoring, a controversial practice in which colleges pay private companies like Honorlock and Examity to surveil students while they take tests.
Chegg Study was enjoying steady growth and little competition. Its only serious rival, privately held Course Hero, is a much smaller operation, valued at $1.1 billion, that generates most of its answers from students.
My note:
such proliferation would not have been possible, if the middle and upper administration has been more supportive of faculty when misconduct is detected. If the administration turns blind eye due to “enrollment” and “retention” priorities and curbs faculty reports regarding academic dishonesty, the industry naturally fills out the gap between a mere syllabus statement and inability to act upon it.
There is plenty of lipservice regarding “personalized learning,” but the reality is overworked faculty, who do not have the opportunity to spend sufficient time with students, less to educate them about plagiarism, cheating and similar “auxiliary” trends besides the content of the course.
Tens of thousands took to the streets across Russia, sharing photos and videos on social media faster than they could be removed, urging others to join.
But the Russian media regulator Roskomnadzor quickly jumped to pressure social media platforms to remove videos that it said called for minors to participate in protests, warning that it was illegal for them to do so. On Friday, the government claimed that 38% of all offending videos on TikTok, 50% on YouTube and 17% on Instagram had been removed. By Saturday Roskomnadzor said more messages had been deleted on TikTok and Russian social media app Vkontakte. Facebook and Google, the owners of Instagram and YouTube respectively, expressed uncertainty about the accuracy of the numbers, Gizmodo reported.
Social media platforms are taking down Russians’ calls to protest in support of jailed opposition leader Alexei Navalny over the government’s claims that they illegally incite minors to attend unauthorized rallies.
“As I create and modify my course syllabi, I want to make sure my students use APA 7th ed. when writing their formal assignments. For those of you who also use APA, what do you say in your syllabi? What matters to you with your students giving proper credit to sources, images, or videos? I’m trying to do better and expect better”
I never assume the they learned the format, and I build in an APA workshop. I use OWL Purdue and go over a sample paper first, then the APA PowerPoint. Then I give them a low stakes assignment (like a discussion post) to practice.
I talk about documentation more as a convention of their discourse community, not just citations. There is a certain structure and way of writing in APA, that along with citations, represent the values of a particular discourse community. Those are the things that matter to me. (I also get more buy in from students.)
I was happy to discover that APA now has decent examples online, free, at their website. So in my instructions to students, I linked to the main page and also 3 specific pages with commonly used items, such as newspaper articles online, and YouTube videos. So step 1 is providing tools. Step 2 is clearly expressed grade penalties.
I actually don’t say anything my syllabus. What I do is in my LMS: give them a template and links to the Purdue OWL and other relevant websites. I have also written a “Dr. Kaminski’s APA 7th Ed Guide”. It’s more of my pet peeves and what they should be focusing on that students often miss. I give a lot of grace on the first (low stakes) written assignment, with more focus on the APA portion than the actual content. After that, I’m expecting them to have it down.
I post resources to our LMS. Mostly the usual subjects (APA, Purdue OWL, etc). I often add a short video on the bias-free writing chapter because that’s often not covered in their intro to research writing courses. For citations, I’m more a stickler for complete information than semicolons and whatnot. I don’t feel good about deducting points for anything that students were taught with APA 6 that is different in 7 since we changed the rules on them.
I provide a free workshop at the beginning of the semester to explain the ‘why’ and provide practice. It carries a rather high weighting in our rubrics so…some understanding and ‘free points’ if they use it appropriately.
I have a different document I refer to in the syllabus titled “Writing Expectations”. I briefly explain the importance of using APA and the characteristics of academic writing (e.g. paraphrasing, avoiding over usage of direct quotes, and other things I see in student writing). The second page is an APA job aid that shows the basics for citations, reference lists, and leveled headings.
Can We Develop Herd Immunity to Internet Propaganda?
Internet propaganda is becoming an industrialized commodity, warns Phil Howard, the director of the Oxford Internet Institute and author of many books on disinformation. In an interview, he calls for greater transparency and regulation of the industry.
Platforms like Parler, TheDonald, Breitbart and Anon are like petri dishes for testing out ideas, to see what sticks. If extremist influencers see that something gets traction, they ramp it up. In the language of disease, you would say these platforms act as a vector, like a germ that carries a disease into other, more public forums.
at some point a major influencer takes a new meme from one of these extremist forums and puts it out before a wider audience. It works like a vector-borne disease like malaria, where the mosquitoes do the transmission. So, maybe a Hollywood actor or an influencer who knows nothing about politics will take this idea and post it on the bigger, better known platform. From there, these memes escalate as they move from Parler to maybe Reddit and from there to Twitter, Facebook, Instagram and YouTube. We call this “cascades of misinformation.“
Sometimes the cascades of misinformation bounce from country to country between the U.S., Canada and the UK for example. So, it echoes back and forth.
Within Europe, two reservoirs for disinformation stick out: Poland and Hungary.
Our 2020 report shows that cyber troop activity continues to increase around the world. This year, we found evidence of 81 countries using social media to spread computational propaganda and disinformation about politics. This has increased from last years’ report, where we identified 70 countries with cyber troop activity.
identified 63 new instances of private firms working with governments or political parties to spread disinformation about elections or other important political issues. We identified 21 such cases in 2017-2018, yet only 15 in the period between 2009 and 2016.
Why would well-funded Russian agencies buy disinformation services from a newcomer like Nigeria?
(1) Russian actors have found a lab in Nigeria that can provide services at competitive prices. (2) But countries like China and Russia seem to be developing an interest in political influence in many African countries, so it is possible that there is a service industry for disinformation in Nigeria for that part of the world.
Each social media company should provide some kind of accounting statement about how it deals with misuse, with reporting hate speech, with fact checking and jury systems and so on. This system of transparency and accountability works for the stock markets, why shouldn’t it work in the social media realm?
We clearly need a digital civics curriculum. The 12 to 16 year olds are developing their media attitudes now, they will be voting soon. There is very good media education in Canada or the Netherlands for example, and that is an excellent long-term strategy.
AlphaZero, which in 2017 generalised AlphaGo Zero so that it could be applied to others games, including chess and Shogi
Most recently, DeepMind – which is owned by the same parent as Google’s – made a breakthrough in protein folding by adapting these techniques, which could pave the way to new drugs to fight disease.
Stiegler discovered philosophy in prison for robbery and was mentored by Derrida. His 3-volume Technics and Time, evoking Heidegger’s Being and Time, takes up the grammatological rather than deconstructive path taken by Derrida in the 1970s. Stiegler’s research on intergenerational care, phamakology, and algorithmic governance continue with his colleagues at the IRI in Paris and around the world. I first met Bernard when he visited Madison in 2015, and I gave him a tour of DesignLab. At the suggestion of collaborator Ana Vujanovic, we reached out to him and were collaborating on a lecture performance over the past year or so. I had tickets and hotel reserved to Paris when COVID struck. Disappointed, we Zoomed and discussed how to proceed and possible workshops, still being pursued with IRI. He passed away last summer, due to cancer. In this 2-hour interview with Zero Books, Stiegler discusses Marx and Greenspan on the proletarianization of intellect achieved by IT, his rejection of defunding the police, and COVID and the positions taken to it by Zizek and Agamben. Throughout the interview, Bernard’s patient passion and clarity of thought shine through. “Making a Mouk” is a short, accessible text; https://www.dropbox.com/…/Bernard_Stiegler_Making_a… https://www.youtube.com/watch?v=rd-9LPVilmM
What is AR (how is it different from VR or MR) https://blog.stcloudstate.edu/ims/2019/03/25/peter-rubin-future-presence/
p. 225
“augmented reality: Bringing artificial objects into the real world-these can be as simple as a ” heads-up display,” like a speedometer project it onto your car’s windshield, or as complex as seen to be virtual creature woke across your real world leaving room, casting a realistic shadow on the floor” https://blog.stcloudstate.edu/ims/2018/11/07/can-xr-help-students-learn/
p. 12
Augmented reality provides an “overlay” of some type over the real world through
the use of a headset or even a smartphone.
There is no necessary distinction between AR and VR; indeed, much research
on the subject is based on a conception of a “virtuality continuum” from entirely
real to entirely virtual, where AR lies somewhere between those ends of the
spectrum. Paul Milgram and Fumio Kishino, “A Taxonomy of Mixed Reality Visual Displays,
Augmented reality superimposes a digital layer on the world around us, often activated by scanning a trigger image or via GPS (think Pokemon Go!). Virtual reality takes users away from the real world, fully immersing students in a digital experience that replaces reality. Mixed reality takes augmented a step further by allowing the digital and real worlds to interact and the digital components to change based on the user’s environment.
Gamifying Library orientation using Metaverse: https://mtvrs.io/GenerousJubilantEeve
(the gateway to the Library orientation project)
Metaverse experience through the user’s phone:
Discuss the following statement:
“low-end AR (Metaverse), like low-end VR (360 degrees) has strong potential to introduce students, faculty and staff to immersive teaching and learning“
unless the images the person is using are so unique that there is nothing else like them and she’s using them in a critique or as an instructive example (for example, explaining an aspect of a Picasso painting) that’s not fair use.
Copyright for Teachers was a free webinar that Dr. Beth Holland and I hosted a few years ago. We addressed a slew of copyright questions and scenarios during presentation. You can watch the recording here.
People who behaved in accordance with them—for example, by staying away from the overgrown pond bank where someone said there was a viper—were more likely to survive than those who did not.
Compounding the problem is the proliferation of online information. Viewing and producing blogs, videos, tweets and other units of information called memes has become so cheap and easy that the information marketplace is inundated. My note: folksonomy in its worst.
At the University of Warwick in England and at Indiana University Bloomington’s Observatory on Social Media (OSoMe, pronounced “awesome”), our teams are using cognitive experiments, simulations, data mining and artificial intelligence to comprehend the cognitive vulnerabilities of social media users. developing analytical and machine-learning aids to fight social media manipulation.
As Nobel Prize–winning economist and psychologist Herbert A. Simon noted, “What information consumes is rather obvious: it consumes the attention of its recipients.”
attention economy
Our models revealed that even when we want to see and share high-quality information, our inability to view everything in our news feeds inevitably leads us to share things that are partly or completely untrue.
Frederic Bartlett
Cognitive biases greatly worsen the problem.
We now know that our minds do this all the time: they adjust our understanding of new information so that it fits in with what we already know. One consequence of this so-called confirmation bias is that people often seek out, recall and understand information that best confirms what they already believe.
This tendency is extremely difficult to correct.
Making matters worse, search engines and social media platforms provide personalized recommendations based on the vast amounts of data they have about users’ past preferences.
pollution by bots
Social Herding
social groups create a pressure toward conformity so powerful that it can overcome individual preferences, and by amplifying random early differences, it can cause segregated groups to diverge to extremes.
Social media follows a similar dynamic. We confuse popularity with quality and end up copying the behavior we observe.
information is transmitted via “complex contagion”: when we are repeatedly exposed to an idea, typically from many sources, we are more likely to adopt and reshare it.
In addition to showing us items that conform with our views, social media platforms such as Facebook, Twitter, YouTube and Instagram place popular content at the top of our screens and show us how many people have liked and shared something.Few of us realize that these cues do not provide independent assessments of quality.
programmers who design the algorithms for ranking memes on social media assume that the “wisdom of crowds” will quickly identify high-quality items; they use popularity as a proxy for quality. My note: again, ill-conceived folksonomy.
Echo Chambers
the political echo chambers on Twitter are so extreme that individual users’ political leanings can be predicted with high accuracy: you have the same opinions as the majority of your connections. This chambered structure efficiently spreads information within a community while insulating that community from other groups.
socially shared information not only bolsters our biases but also becomes more resilient to correction.
machine-learning algorithms to detect social bots. One of these, Botometer, is a public tool that extracts 1,200 features from a given Twitter account to characterize its profile, friends, social network structure, temporal activity patterns, language and other features. The program compares these characteristics with those of tens of thousands of previously identified bots to give the Twitter account a score for its likely use of automation.
Some manipulators play both sides of a divide through separate fake news sites and bots, driving political polarization or monetization by ads.
recently uncovered a network of inauthentic accounts on Twitter that were all coordinated by the same entity. Some pretended to be pro-Trump supporters of the Make America Great Again campaign, whereas others posed as Trump “resisters”; all asked for political donations.
a mobile app called Fakey that helps users learn how to spot misinformation. The game simulates a social media news feed, showing actual articles from low- and high-credibility sources. Users must decide what they can or should not share and what to fact-check. Analysis of data from Fakey confirms the prevalence of online social herding: users are more likely to share low-credibility articles when they believe that many other people have shared them.
Hoaxy, shows how any extant meme spreads through Twitter. In this visualization, nodes represent actual Twitter accounts, and links depict how retweets, quotes, mentions and replies propagate the meme from account to account.
Free communication is not free. By decreasing the cost of information, we have decreased its value and invited its adulteration.
