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Splice upload on YouTube

Splice fails to export directly to YouTube

Here is a short screencapture I did on my phone for you:

Here are the snapshots to the step-by-step process

  • To export your Splice project, click in the upper right corner

 

  • Instead of choosing YouTube, just click on the blue button “Save”

 

 

  • Choose a file size to save: smaller one will do you fine

 

 

 

 

 

 

 

 

 

  • Get out of Splice and open the YouTube app

 

  • Click on the little camera icon to upload your Splice video

 

  • Choose the Splice exported video and upload

 

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more on Splice in this IMS blog
http://blog.stcloudstate.edu/ims?s=splice

GoPro report on Splice fail to export video
https://gopro.com/help/articles/Solutions_Troubleshooting/Splice-Video-Exports-Fail

Hangouts On Air replace by YouTube Live

Google is discontinuing Google+ Hangouts On Air on September 12, pushes users to YouTube Live

How to Use the Free YouTube Video Editor

How to Use the Free YouTube Video Editor

http://hubpages.com/hub/How-to-Use-YouTube-Video-Editor

The YouTube Editor is not the most powerful editor you will ever use. However, it is free, and it includes all the basic editing tools you need to make a professional looking video. It is also an online tool, so you can use it anywhere you have an internet connection, and on any computer that you have access to.

My note: The author forgets to mention that the editor exists now also as an app for mobile devices, thus competing with other “free” mobile apps for video editing such as Splice, iMovie etc.
It can be a great addition to “spice up” videos posted on Instagram, Tweeter and other social media, besides YouTube.

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,

++++++++++++++vr in library

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.

a technologically literate graduate

Profile of a technologically literate graduate

By Jorge Valenzuela 1/7/2019

https://www.iste.org/explore/articleDetail?articleid=2329

When school leaders set out to create a profile of their ideal graduate, many trip up on defining technological literacy and subsequently struggle to select the right edtech to get students there.

digital equity and digital citizenship

use your divisionwide or statewide profile of a graduate.

STEP 1: Have a model and unpack it

In my state of Virginia (like many other states), we focus on these four:

  • Content knowledge
  • Workplace skills
  • Community engagement and civic responsibility
  • Career exploration

STEP 2: Tag team with colleagues to plan instruction

In step one we created our graduate profile by brainstorming and identifying both the personal and professional knowledge and skills that our future graduates need. Now it’s time to formulate plans to bring the profile to fruition. To ensure student success, implementation should take place in the classroom and tap the expertise of our colleagues.

Student  success is never due to one teacher, but a collaborative effort.

STEP 3: Identify and leverage the right industry partners

Technological literacy requires students to create authentic products using appropriate edtech, therefore developing technologically literate graduates should not be left entirely to teachers and schools.

Soliciting the help of our industry and business partners is so crucial to this process

Step 4: Create career pathways in schools

schools create systemic K-12 career pathways — or pipelines — for their students and give teachers ample time and space to plan and work together to maximize the learning aligned to well-developed graduate profiles.

AR with Metaverse Studio

https://studio.gometa.io/landing

If you want to create AR, but don’t know Unity….

Thousands of people, from kids to teachers to big brands, are creating all kinds of Augmented Reality Experiences (games, interactive stories, educational curriculum, scavenger hunts, RPGs and much more!)

Here’s a quick overview video to help get you started

Check out our YouTube channel for more tutorials

Follow us on Twitter and read our blog where we feature amazing things created by people just like you.

Please send us all your questions, big or small. We’re here to help 🙂

If you have any questions you can respond to this email, or use the blue help chat button located at the bottom-left of the Metaverse Studio.

All the best,
Dmitry Shapiro
CEO
Metaverse

Facial Recognition issues

Chinese Facial Recognition Will Take over the World in 2019

Michael K. Spencer Jan 14, 2018
https://medium.com/futuresin/chinese-facial-recognition-will-take-over-the-world-in-2019-520754a7f966
The best facial recognition startups are in China, by a long-shot. As their software is less biased, global adoption is occurring via their software. This is evidenced in 2019 by the New York Police department in NYC for example, according to the South China Morning Post.
The mass surveillance state of data harvesting in real-time is coming. Facebook already rates and profiles us.

The Tech Wars come down to an AI-War

Whether the NYC police angle is true or not (it’s being hotly disputed), Facebook and Google are thinking along lines that follow the whims of the Chinese Government.

SenseTime and Megvii won’t just be worth $5 Billion, they will be worth many times that in the future. This is because a facial recognition data-harvesting of everything is the future of consumerism and capitalism, and in some places, the central tenet of social order (think Asia).

China has already ‘won’ the trade-war, because its winning the race to innovation. America doesn’t regulate Amazon, Microsoft, Google or Facebook properly, that stunts innovation and ethics in technology where the West is now forced to copy China just to keep up.

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more about facial recognition in schools
http://blog.stcloudstate.edu/ims/2019/02/02/facial-recognition-technology-in-schools/

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