Searching for "privacy"

break up Facebook

https://nyti.ms/2LzRzwq

Facebook’s board works more like an advisory committee than an overseer, because Mark controls around 60 percent of voting shares. Mark alone can decide how to configure Facebook’s algorithms to determine what people see in their News Feeds, what privacy settings they can use and even which messages get delivered. He sets the rules for how to distinguish violent and incendiary speech from the merely offensive, and he can choose to shut down a competitor by acquiring, blocking or copying it.

We are a nation with a tradition of reining in monopolies, no matter how well intentioned the leaders of these companies may be. Mark’s power is unprecedented and un-American.

It is time to break up Facebook.

America was built on the idea that power should not be concentrated in any one person, because we are all fallible. That’s why the founders created a system of checks and balances.

More legislation followed in the 20th century, creating legal and regulatory structures to promote competition and hold the biggest companies accountable.

Starting in the 1970s, a small but dedicated group of economists, lawyers and policymakers sowed the seeds of our cynicism. Over the next 40 years, they financed a network of think tanks, journals, social clubs, academic centers and media outlets to teach an emerging generation that private interests should take precedence over public ones. Their gospel was simple: “Free” markets are dynamic and productive, while government is bureaucratic and ineffective.

American industries, from airlines to pharmaceuticals, have experienced increased concentration, and the average size of public companies has tripled. The results are a decline in entrepreneurshipstalled productivity growth, and higher prices and fewer choices for consumers.

From our earliest days, Mark used the word “domination” to describe our ambitions, with no hint of irony or humility.

Facebook’s monopoly is also visible in its usage statistics. About 70 percent of American adults use social media, and a vast majority are on Facebook products. Over two-thirds use the core site, a third use Instagram, and a fifth use WhatsApp. By contrast, fewer than a third report using Pinterest, LinkedIn or Snapchat. What started out as lighthearted entertainment has become the primary way that people of all ages communicate online.

The F.T.C.’s biggest mistake was to allow Facebook to acquire Instagram and WhatsApp. In 2012, the newer platforms were nipping at Facebook’s heels because they had been built for the smartphone, where Facebook was still struggling to gain traction. Mark responded by buying them, and the F.T.C. approved.

The News Feed algorithm reportedly prioritized videos created through Facebook over videos from competitors, like YouTube and Vimeo. In 2012, Twitter introduced a video network called Vine that featured six-second videos. That same day, Facebook blocked Vine from hosting a tool that let its users search for their Facebook friends while on the new network. The decision hobbled Vine, which shut down four years later.

unlike Vine, Snapchat wasn’t interfacing with the Facebook ecosystem; there was no obvious way to handicap the company or shut it out. So Facebook simply copied it. (opyright law does not extend to the abstract concept itself.)

As markets become more concentrated, the number of new start-up businesses declines. This holds true in other high-tech areas dominated by single companies, like search (controlled by Google) and e-commerce (taken over by Amazon). Meanwhile, there has been plenty of innovation in areas where there is no monopolistic domination, such as in workplace productivity (Slack, Trello, Asana), urban transportation (Lyft, Uber, Lime, Bird) and cryptocurrency exchanges (Ripple, Coinbase, Circle).

The choice is mine, but it doesn’t feel like a choice. Facebook seeps into every corner of our lives to capture as much of our attention and data as possible and, without any alternative, we make the trade.

Just last month, Facebook seemingly tried to bury news that it had stored tens of millions of user passwords in plain text format, which thousands of Facebook employees could see. Competition alone wouldn’t necessarily spur privacy protection — regulation is required to ensure accountability — but Facebook’s lock on the market guarantees that users can’t protest by moving to alternative platforms.

Mark used to insist that Facebook was just a “social utility,” a neutral platform for people to communicate what they wished. Now he recognizes that Facebook is both a platform and a publisher and that it is inevitably making decisions about values. The company’s own lawyers have argued in court that Facebook is a publisher and thus entitled to First Amendment protection.

As if Facebook’s opaque algorithms weren’t enough, last year we learned that Facebook executives had permanently deleted their own messages from the platform, erasing them from the inboxes of recipients; the justification was corporate security concerns.

Mark may never have a boss, but he needs to have some check on his power. The American government needs to do two things: break up Facebook’s monopoly and regulate the company to make it more accountable to the American people.

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We Don’t Need Social Media

The push to regulate or break up Facebook ignores the fact that its services do more harm than good

Colin Horgan, May 13, 2019

https://onezero.medium.com/we-dont-need-social-media-53d5455f4f6b

Hughes joins a growing chorus of former Silicon Valley unicorn riders who’ve recently had second thoughts about the utility or benefit of the surveillance-attention economy their products and platforms have helped create. He is also not the first to suggest that government might need to step in to clean up the mess they made

Nick Srnicek, author of the book Platform Capitalism and a lecturer in digital economy at King’s College London, wrotelast month, “[I]t’s competition — not size — that demands more data, more attention, more engagement and more profits at all costs

 

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more on Facebook in this IMS blog
https://blog.stcloudstate.edu/ims?s=facebook

education algorithms

https://www.edsurge.com/news/2016-06-10-humanizing-education-s-algorithms

predictive algorithms to better target students’ individual learning needs.

Personalized learning is a lofty aim, however you define it. To truly meet each student where they are, we would have to know their most intimate details, or discover it through their interactions with our digital tools. We would need to track their moods and preferences, their fears and beliefs…perhaps even their memories.

There’s something unsettling about capturing users’ most intimate details. Any prediction model based off historical records risks typecasting the very people it is intended to serve. Even if models can overcome the threat of discrimination, there is still an ethical question to confront – just how much are we entitled to know about students?

We can accept that tutoring algorithms, for all their processing power, are inherently limited in what they can account for. This means steering clear of mythical representations of what such algorithms can achieve. It may even mean giving up on personalization altogether. The alternative is to pack our algorithms to suffocation at the expense of users’ privacy. This approach does not end well.

There is only one way to resolve this trade-off: loop in the educators.

Algorithms and data must exist to serve educators

 

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more on algorithms in this IMS blog
blog.stcloudstate.edu/ims?s=algor

ARLD 2019

ARLD 2019

Paul Goodman

Technology is a branch of moral philosophy, not of science

The process of making technology is design

Design is a branch of moral philosophy, not of a science

 

System design reflects the designer’s values and the cultural content

Andreas Orphanides

 

Fulbright BOYD

 

Byzantine history professor Bulgarian – all that is 200 years old is politics, not history

 

Access, privacy, equity, values for the prof organization ARLD.

 

Mike Monteiro

This is how bad design makes it out into the world, not due to mailcioius intent, but whith nbo intent at all

 

Cody Hanson

Our expertise, our service ethic, and our values remain our greatest strengths. But for us to have the impat we seek into the lives of our users, we must encode our services and our values in to the software

Ethical design.

Design interprets the world to crate useful objects. Ethical design closes the loop, imaging how those object will affect the world.

 

A good science fiction story should be able to predict not the automobile, ut the traffics jam. Frederic Pohl

Victor Papanek The designer’s social and moral judgement must be brought into play long before she begins to design.

 

We need to fear the consequences of our work more than we love the cleverness of our ideas Mike Monteiro

Analytics

Qual and quan data – lirarainas love data, usage, ILL, course reserves, data –  QQLM.

IDEO – the goal of design research isn’t to collect data, I tis to synthesize information and provide insight and guidance that leads to action.

Google Analytics: the trade off. besides privacy concners. sometimes data and analytics is the only thing we can see.

Frank CHimero – remove a person;s humanity and she is just a curiosity, a pinpoint on a map, a line in a list, an entry in a dbase. a person turns into a granular but of information.

Gale analytics on demand – similar the keynote speaker at Macalester LibTech 2019. https://www.facebook.com/InforMediaServices/posts/1995793570531130?comment_id=1995795043864316&comment_tracking=%7B%22tn%22%3A%22R%22%7D

personas

by designing for yourself or your team, you are potentially building discrimination right into your product Erica Hall.

Search algorithms.

what is relevance. the relevance of the ranking algorithm. for whom (what patron). crummy searches.

reckless associsations – made by humans or computers – can do very real harm especially when they appear in supposedly neutral environments.

Donna Lanclos and Andrew Asher Ethonography should be core to the business of the library.

technology as information ecology. co-evolve. prepare to start asking questions to see the effect of our design choices.

ethnography of library: touch point tours – a student to give a tour to the librarians or draw a map of the library , give a sense what spaces they use, what is important. ethnographish

Q from the audience: if instructors warn against Google and Wikipedia and steer students to library and dbases, how do you now warn about the perils of the dbases bias? A: put fires down, and systematically, try to build into existing initiatives: bi-annual magazine, as many places as can

data interference

APRIL 21, 2019 Zeynep Tufekci

Think You’re Discreet Online? Think Again

Because of technological advances and the sheer amount of data now available about billions of other people, discretion no longer suffices to protect your privacy. Computer algorithms and network analyses can now infer, with a sufficiently high degree of accuracy, a wide range of things about you that you may have never disclosed, including your moods, your political beliefs, your sexual orientation and your health.

There is no longer such a thing as individually “opting out” of our privacy-compromised world.

In 2017, the newspaper The Australian published an article, based on a leaked document from Facebook, revealing that the company had told advertisers that it could predict when younger users, including teenagers, were feeling “insecure,” “worthless” or otherwise in need of a “confidence boost.” Facebook was apparently able to draw these inferences by monitoring photos, posts and other social media data.

In 2017, academic researchers, armed with data from more than 40,000 Instagram photos, used machine-learning tools to accurately identify signs of depression in a group of 166 Instagram users. Their computer models turned out to be better predictors of depression than humans who were asked to rate whether photos were happy or sad and so forth.

Computational inference can also be a tool of social control. The Chinese government, having gathered biometric data on its citizens, is trying to use big data and artificial intelligence to single out “threats” to Communist rule, including the country’s Uighurs, a mostly Muslim ethnic group.

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Zeynep Tufekci and Seth Stephens-Davidowitz: Privacy is over

https://www.centreforideas.com/article/zeynep-tufekci-and-seth-stephens-davidowitz-privacy-over

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Zeynep Tufekci writes about security and data privacy for NY Times, disinformation’s threat to democracy for WIRED

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more on privacy in this IMS blog
https://blog.stcloudstate.edu/ims?s=privacy

Gen Z and social media

Under Employers’ Gaze, Gen Z Is Biting Its Tongue On Social Media

April 13, 20195:00 AM ET

https://www.npr.org/2019/04/13/702555175/under-employers-gaze-gen-z-is-biting-its-tongue-on-social-media

The oldest members of Generation Z are around 22 years old — now entering the workforce and adjusting their social media accordingly. They are holding back from posting political opinions and personal information in favor of posting about professional accomplishments.

only about 1 in 10 teenagers say they share personal, religious or political beliefs on social media, according to a recent survey from Pew Research Center.

70 percent of employers and recruiters say they check social media during the hiring process, according to a survey conducted by CareerBuilder

Generation Z, nicknamed “iGen,” is the post-millennial generation responsible for ‘killing’ Facebook and for the rise of TikTok.

Curricula like Common Sense Education’s digital citizenship program are working to educate the younger generation on how to use social media, something the older generations were never taught.

Some users are regularly cleaning up — “re-curating” — their online profiles. Cleanup apps, like TweetDelete,

Gen Zers also use social media in more ephemeral ways than older generations — Snapchat stories that disappear after 24 hours, or Instagram posts that they archive a couple of months later.

Gen Zers already use a multitude of strategies to make sure their online presence is visible only to who they want: They set their account to private, change their profile name or handle, even make completely separate “fake” accounts.

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more on social media in this IMS blog
https://blog.stcloudstate.edu/ims?s=social+media

and privacy
https://blog.stcloudstate.edu/ims?s=privacy

OLC Collaborate

OLC Collaborate

https://onlinelearningconsortium.org/attend-2019/innovate/

schedule:

https://onlinelearningconsortium.org/attend-2019/innovate/program/all_sessions/#streamed

Wednesday

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THE NEW PROFESSOR: HOW I PODCASTED MY WAY INTO STUDENTS’ LIVES (AND HOW YOU CAN, TOO)

Concurrent Session 1

https://onlinelearningconsortium.org/olc-innovate-2019-session-page/?session=6734&kwds=

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Creating A Cost-Free Course

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Idea Hose: AI Design For People
Date: Wednesday, April 3rd
Time: 3:30 PM to 4:15 PM
Conference Session: Concurrent Session 3
Streamed session
Lead Presenter: Brian Kane (General Design LLC)
Track: Research: Designs, Methods, and Findings
Location: Juniper A
Session Duration: 45min
Brief Abstract:What happens when you apply design thinking to AI? AI presents a fundamental change in the way people interact with machines. By applying design thinking to the way AI is made and used, we can generate an unlimited amount of new ideas for products and experiences that people will love and use.https://onlinelearningconsortium.org/olc-innovate-2019-session-page/?session=6964&kwds=
Notes from the session:
design thinking: get out from old mental models.  new narratives; get out of the sci fi movies.
narrative generators: AI design for people stream
we need machines to make mistakes. Ai even more then traditional software.
Lessons learned: don’t replace people
creativity engines – automated creativity.
trends:
 AI Design for People stream49 PM-us9swehttps://www.androidauthority.com/nvidia-jetson-nano-966609/
https://community.infiniteflight.com/t/virtualhub-ios-and-android-free/142837?u=sudafly
 http://bit.ly/VirtualHub
Thursday
Chatbots, Game Theory, And AI: Adapting Learning For Humans, Or Innovating Humans Out Of The Picture?
Date: Thursday, April 4th
Time: 8:45 AM to 9:30 AM
Conference Session: Concurrent Session 4
Streamed session
Lead Presenter: Matt Crosslin (University of Texas at Arlington LINK Research Lab)
Track: Experiential and Life-Long Learning
Location: Cottonwood 4-5
Session Duration: 45min
Brief Abstract:How can teachers utilize chatbots and artificial intelligence in ways that won’t remove humans out of the education picture? Using tools like Twine and Recast.AI chatobts, this session will focus on how to build adaptive content that allows learners to create their own heutagogical educational pathways based on individual needs.++++++++++++++++

This Is Us: Fostering Effective Storytelling Through EdTech & Student’s Influence As Digital Citizens
Date: Thursday, April 4th
Time: 9:45 AM to 10:30 AM
Conference Session: Concurrent Session 5
Streamed session
Lead Presenter: Maikel Alendy (FIU Online)
Co-presenter: Sky V. King (FIU Online – Florida International University)
Track: Teaching and Learning Practice
Location: Cottonwood 4-5
Session Duration: 45min
Brief Abstract:“This is Us” demonstrates how leveraging storytelling in learning engages students to effectively communicate their authentic story, transitioning from consumerism to become creators and influencers. Addressing responsibility as a digital citizen, information and digital literacy, online privacy, and strategies with examples using several edtech tools, will be reviewed.++++++++++++++++++

Personalized Learning At Scale: Using Adaptive Tools & Digital Assistants
Date: Thursday, April 4th
Time: 11:15 AM to 12:00 PM
Conference Session: Concurrent Session 6
Streamed session
Lead Presenter: Kristin Bushong (Arizona State University )
Co-presenter: Heather Nebrich (Arizona State University)
Track: Effective Tools, Toys and Technologies
Location: Juniper C
Session Duration: 45min
Brief Abstract:Considering today’s overstimulated lifestyle, how do we engage busy learners to stay on task? Join this session to discover current efforts in implementing ubiquitous educational opportunities through customized interests and personalized learning aspirations e.g., adaptive math tools, AI support communities, and memory management systems.+++++++++++++

High-Impact Practices Online: Starting The Conversation
Date: Thursday, April 4th
Time: 1:15 PM to 2:00 PM
Conference Session: Concurrent Session 7
Streamed session
Lead Presenter: Katie Linder (Oregon State University)
Co-presenter: June Griffin (University of Nebraska-Lincoln)
Track: Teaching and Learning Practice
Location: Cottonwood 4-5
Session Duration: 45min
Brief Abstract:The concept of High-impact Educational Practices (HIPs) is well-known, but the conversation about transitioning HIPs online is new. In this session, contributors from the edited collection High-Impact Practices in Online Education will share current HIP research, and offer ideas for participants to reflect on regarding implementing HIPs into online environments.https://www.aacu.org/leap/hipshttps://www.aacu.org/sites/default/files/files/LEAP/HIP_tables.pdf+++++++++++++++++++++++

Human Skills For Digital Natives: Expanding Our Definition Of Tech And Media Literacy
Date: Thursday, April 4th
Time: 3:45 PM to 5:00 PM
Streamed session
Lead Presenter: Manoush Zomorodi (Stable Genius Productions)
Track: N/A
Location: Adams Ballroom
Session Duration: 1hr 15min
Brief Abstract:How can we ensure that students and educators thrive in increasingly digital environments, where change is the only constant? In this keynote, author and journalist Manoush Zomorodi shares her pioneering approach to researching the effects of technology on our behavior. Her unique brand of journalism includes deep-dive investigations into such timely topics as personal privacy, information overload, and the Attention Economy. These interactive multi-media experiments with tens of thousands of podcast listeners will inspire you to think creatively about how we use technology to educate and grow communities.Friday

Anger Is An Energy
Date: Friday, April 5th
Time: 8:30 AM to 9:30 AM
Streamed session
Lead Presenter: Michael Caulfield (Washington State University-Vancouver)
Track: N/A
Location: Adams Ballroom
Position: 2
Session Duration: 60min
Brief Abstract:Years ago, John Lyndon (then Johnny Rotten) sang that “anger is an energy.” And he was right, of course. Anger isn’t an emotion, like happiness or sadness. It’s a reaction, a swelling up of a confused urge. I’m a person profoundly uncomfortable with anger, but yet I’ve found in my professional career that often my most impactful work begins in a place of anger: anger against injustice, inequality, lies, or corruption. And often it is that anger that gives me the energy and endurance to make a difference, to move the mountains that need to be moved. In this talk I want to think through our uneasy relationship with anger; how it can be helpful, and how it can destroy us if we’re not careful.++++++++++++++++

Improving Online Teaching Practice, Creating Community And Sharing Resources
Date: Friday, April 5th
Time: 10:45 AM to 11:30 AM
Conference Session: Concurrent Session 10
Streamed session
Lead Presenter: Laurie Daily (Augustana University)
Co-presenter: Sharon Gray (Augustana University)
Track: Problems, Processes, and Practices
Location: Juniper A
Session Duration: 45min
Brief Abstract:The purpose of this session is to explore the implementation of a Community of Practice to support professional development, enhance online course and program development efforts, and to foster community and engagement between and among full and part time faculty.+++++++++++++++

It’s Not What You Teach, It’s HOW You Teach: A Story-Driven Approach To Course Design
Date: Friday, April 5th
Time: 11:45 AM to 12:30 PM
Conference Session: Concurrent Session 11
Streamed session
Lead Presenter: Katrina Rainer (Strayer University)
Co-presenter: Jennifer M McVay-Dyche (Strayer University)
Track: Teaching and Learning Practice
Location: Cottonwood 2-3
Session Duration: 45min
Brief Abstract:Learning is more effective and organic when we teach through the art of storytelling. At Strayer University, we are blending the principles story-driven learning with research-based instructional design practices to create engaging learning experiences. This session will provide you with strategies to strategically infuse stories into any lesson, course, or curriculum.

philosophy technology

McMullan, T. (2018, April 26). How Technology Got Under Our Skin – Featured Stories. Retrieved April 2, 2019, from Medium website: https://medium.com/s/story/how-technology-got-under-our-skin-cee8a71b241b

anthropocene

Like the circle-bound symmetry of Leonardo Da Vinci’s Vitruvian Man, the meat and bones of the human race are the same in 2018 as they were in 1490. And yet, we are different.

Michael Patrick Lynch, writer and professor of philosophy at the University of Connecticut.
“The digital revolution is more like the revolution brought on by the written word. Just as the written word allowed us to time-travel — to record our thoughts for others, including ourselves, to read in the future — so the internet has allowed for a kind of tele-transportation , breaking down barriers of space and physical limitation and connecting us across the globe in ways we now take for granted, as we do the written word.”

In the book Self-Tracking, authors Gina Neff, a sociology professor at Oxford University, and Dawn Nafus, a research scientist at Intel, describe this phenomenon as a shuffling between physical signs and observed recordings: “The data becomes a ‘prosthetic of feeling,’Advocates of this “prosthetic of feeling” argue that self-tracking can train people to recognize their own body signals, tuning the senses to allow for a greater grasp of biological rhythms.but what if the body-as-data is exploited by the state, or by an insurance company that can predict when you’ll get diabetes, or a data analytics firm that can use it to help sway elections? The Chinese government is going so far as to plan a social credit score for its citizens by 2020, giving each of the country’s 1.3 billion residents a reputation number based on economic and social status. What is particularly subtle about all this is that, like a scientific épistémè, our way of thinking is perhaps unconsciously guided by the configurations of knowledge these new technologies allow. We don’t question it.

Hannah Knox. Computational machines are “shaping what we expect it means to be a human”, Knox wrote for the Corsham Institute’s Observatory for a Connected Society.

Facebook goads us to remember past moments on a daily basis, the stacked boxes of tape in Beckett’s play replaced with stacks of servers in remote data centers in northern Sweden.“There is reasonable evidence that [the internet] has reduced our internal memory ability,” says Phil Reed, a professor of psychology at Swansea University.

Moderate tech use correlated with positive mental health, according to a paper published in Psychological Science by Andrew Przybylski of Oxford and Netta Weinstein at Cardiff University, who surveyed 120,000 British 15-year-olds.Again, the crucial question is one of control. If our way of thinking is changed by our intimacy with these technologies, then is this process being directed by individuals, or the ledgers of private companies, or governments keen on surveilling their citizens? If we conceive of these systems as extensions of our own brains, what happens if they collapse?

Brain-machine interfaces (BMI) are coming in leaps and bounds, with companies like Neuralink and CTRL-Labs in the United States exploring both surgical and noninvasive processes that allow computers to be controlled directly by signals from the brain. It’s a field that involves fundamentally changing the relationship between our minds, bodies, and machines.Kevin Warwick, emeritus professor at Coventry University and a pioneer in implant technology

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more on philosophy in this IMS blog
https://blog.stcloudstate.edu/ims?s=philosophy

Library Technology Conference 2019

#LTC2019

Intro to XR in Libraries from Plamen Miltenoff

keynote: equitable access to information

keynote spaker

https://sched.co/JAqk
the type of data: wikipedia. the dangers of learning from wikipedia. how individuals can organize mitigate some of these dangers. wikidata, algorithms.
IBM Watson is using wikipedia by algorythms making sense, AI system
youtube videos debunked of conspiracy theories by using wikipedia.

semantic relatedness, Word2Vec
how does algorithms work: large body of unstructured text. picks specific words

lots of AI learns about the world from wikipedia. the neutral point of view policy. WIkipedia asks editors present as proportionally as possible. Wikipedia biases: 1. gender bias (only 20-30 % are women).

conceptnet. debias along different demographic dimensions.

citations analysis gives also an idea about biases. localness of sources cited in spatial articles. structural biases.

geolocation on Twitter by County. predicting the people living in urban areas. FB wants to push more local news.

danger (biases) #3. wikipedia search results vs wkipedia knowledge panel.

collective action against tech: Reddit, boycott for FB and Instagram.

Mechanical Turk https://www.mturk.com/  algorithmic / human intersection

data labor: what the primary resources this companies have. posts, images, reviews etc.

boycott, data strike (data not being available for algorithms in the future). GDPR in EU – all historical data is like the CA Consumer Privacy Act. One can do data strike without data boycott. general vs homogeneous (group with shared identity) boycott.

the wikipedia SPAM policy is obstructing new editors and that hit communities such as women.

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Twitter and Other Social Media: Supporting New Types of Research Materials

https://sched.co/JAWp

Nancy Herther Cody Hennesy

http://z.umn.edu/

twitter librarieshow to access at different levels. methods and methodological concerns. ethical concerns, legal concerns,

tweetdeck for advanced Twitter searches. quoting, likes is relevant, but not enough, sometimes screenshot

engagement option

social listening platforms: crimson hexagon, parsely, sysomos – not yet academic platforms, tools to setup queries and visualization, but difficult to algorythm, the data samples etc. open sources tools (Urbana, Social Media microscope: SMILE (social media intelligence and learning environment) to collect data from twitter, reddit and within the platform they can query Twitter. create trend analysis, sentiment analysis, Voxgov (subscription service: analyzing political social media)

graduate level and faculty research: accessing SM large scale data web scraping & APIs Twitter APIs. Jason script, Python etc. Gnip Firehose API ($) ; Web SCraper Chrome plugin (easy tool, Pyhon and R created); Twint (Twitter scraper)

Facepager (open source) if not Python or R coder. structure and download the data sets.

TAGS archiving google sheets, uses twitter API. anything older 7 days not avaialble, so harvest every week.

social feed manager (GWUniversity) – Justin Litman with Stanford. Install on server but allows much more.

legal concerns: copyright (public info, but not beyond copyrighted). fair use argument is strong, but cannot publish the data. can analyize under fair use. contracts supercede copyright (terms of service/use) licensed data through library.

methods: sampling concerns tufekci, 2014 questions for sm. SM data is a good set for SM, but other fields? not according to her. hashtag studies: self selection bias. twitter as a model organism: over-represnted data in academic studies.

methodological concerns: scope of access – lack of historical data. mechanics of platform and contenxt: retweets are not necessarily endorsements.

ethical concerns. public info – IRB no informed consent. the right to be forgotten. anonymized data is often still traceable.

table discussion: digital humanities, journalism interested, but too narrow. tools are still difficult to find an operate. context of the visuals. how to spread around variety of majors and classes. controversial events more likely to be deleted.

takedowns, lies and corrosion: what is a librarian to do: trolls, takedown,

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Crague Cook, Jay Ray

the pilot process. 2017. 3D printing, approaching and assessing success or failure.  https://collegepilot.wiscweb.wisc.edu/

development kit circulation. familiarity with the Oculus Rift resulted in lesser reservation. Downturn also.

An experience station. clean up free apps.

question: spherical video, video 360.

safety issues: policies? instructional perspective: curating,WI people: user testing. touch controllers more intuitive then xbox controller. Retail Oculus Rift

app Scatchfab. 3modelviewer. obj or sdl file. Medium, Tiltbrush.

College of Liberal Arts at the U has their VR, 3D print set up.
Penn State (Paul, librarian, kiniseology, anatomy programs), Information Science and Technology. immersive experiences lab for video 360.

CALIPHA part of it is xrlibraries. libraries equal education. content provider LifeLiqe STEM library of AR and VR objects. https://www.lifeliqe.com/

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Access for All:

https://sched.co/JAXn

accessibilityLeah Root

bloat code (e.g. cleaning up MS Word code)

ILLiad Doctype and Language declaration helps people with disabilities.

https://24ways.org/

 

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A Seat at the Table: Embedding the Library in Curriculum Development

https://sched.co/JAY5

embedded librarianembed library resources.

libraians, IT staff, IDs. help faculty with course design, primarily online, master courses. Concordia is GROWING, mostly because of online students.

solve issues (putting down fires, such as “gradebook” on BB). Librarians : research and resources experts. Librarians helping with LMS. Broadening definition of Library as support hub.

Libraries Big Data

Libraries Look to Big Data to Measure Their Worth—And Better Help Students

 Jeffrey R. Young     Nov 17, 2017

https://www.edsurge.com/news/2017-11-17-libraries-look-to-big-data-to-measure-their-worth-and-better-help-students

counting how many times students use electronic library resources or visit in person, and comparing that to how well the students do in their classes and how likely they are to stay in school and earn a degree. And many library leaders are finding a strong correlation, meaning that students who consume more library materials tend to be more successful academically.

carefully tracking how library use compares to other metrics, and it has made changes as a result—like moving the tutoring center and the writing lab into the library. Those moves were designed not only to lure more people into the stacks, but to make seeking help more socially-acceptable for students who might have been hesitant.

a partnership between the library, which knows what electronic materials students use, and the technology office, which manages other campus data such as usage of the course-management system. The university is doing a study to see whether library usage there also equates to student success.

The issue of privacy also emerged during a session on libraries and data at the annual Educause conference earlier this month.

Facebook’s Content Moderators

Propaganda, Hate Speech, Violence: The Working Lives Of Facebook’s Content Moderators

https://www.npr.org/2019/03/02/699663284/the-working-lives-of-facebooks-content-moderators

In a recent article for The Verge titled “The Trauma Floor: The secret lives of Facebook moderators in America,” a dozen current and former employees of one of the company’s contractors, Cognizant, talked to Newton about the mental health costs of spending hour after hour monitoring graphic content.

Perhaps the most surprising find from his investigation, the reporter said, was how the majority of the employees he talked to started to believe some of the conspiracy theories they reviewed.

 

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more on Facebook in this iMS blog
https://blog.stcloudstate.edu/ims?s=Facebook+privacy

 

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