LibCrowds

Crowdsourcing projects at the British Library @BL_DigiSchol @LivingwMachines. Our newsletter

[LibCrowds @LibCrowds]

What happens after a project has data enriched by crowdsourcing and/or machine learning/AI? Does the data end up in a collections management system, or sit on a drive somewhere? Share your experiences with successes and failures in ingesting enriched data

https://t.co/040F0c9Nqj

[Digital Scholarship @BL_DigiSchol]

Our survey is extended to April 30!

We're keen to hear from projects that 'failed' to integrate #crowdsourced or #MachineLearning #AI enhanced collections records, are still in progress or 'completed' a long time ago, and from @Transkribus @FromThePage @the_zooniverse projects

[Digital Scholarship @BL_DigiSchol]

In case your inbox eats it... we've just sent out a special edition of our @libcrowds newsletter on crowdsourcing at the @BritishLibrary: https://t.co/YsocoC7Otr

[Digital Scholarship @BL_DigiSchol]

So you've done crowdsourcing/citizen science and/or machine learning/AI with museum, library or archive collections. What now?

Share your experiences with enriched data. Our survey takes c15 mins:
https://t.co/RipqPaJEqE

Pls share to help us reach others! #CitSciMonth #CitSciTC

[SciStarter @SciStarter]

We're just getting started here on April 3rd and look how many Acts have been reported already! #CitSciMonth #CitizenScience #OneMillionActsofScience (Share your Acts from #ECSA24 !)

[Living with Machines @LivingwMachines]

We are pleased to share with you the first episode of the Living with Machines documentary series!!
Listen to the team speak about their experience and research in the project ✨
https://t.co/7Eb4eHQZC9
@turinginst @ahrcpress @UKRI_News

[Digital Scholarship @BL_DigiSchol]

Our thanks to everyone who's already shared their experiences with integrating enriched collections data with digital collections platforms! We have responses from Europe, the UK, US, and we're keen to hear from Asian and African projects

[Digital Scholarship @BL_DigiSchol]

Our @mia_out launches a White Paper at #DH2023 today:

'Recommendations, Challenges and Opportunities for the Future of Crowdsourcing in Cultural Heritage: a White Paper' https://t.co/i9RbrQ9n78

Have thoughts, examples to share? Comment on the doc! Info: https://t.co/p6KHFZbw2O

[LibCrowds @LibCrowds]

Our final @LivingwMachines @the_zooniverse tasks are finished! Thank you all so much!

In honour of #PrideMonth, some historical trans / genderqueer lives that our volunteers found in 19th century newspapers - from 1880 and 1888

https://t.co/N1x5FnqCVt

https://t.co/YLNlN25HBr

[LibCrowds @LibCrowds]

It's your last chance to discover lost stories like this 'Extraordinary Journey of a Runaway Train'! https://t.co/OPwPEYr68F

Just 812 images to go - hop onboard at https://t.co/tWFGeZLYXz

[LibCrowds @LibCrowds]

A time of great anxiety. Machines were changing jobs - maybe even replacing workers. And they could be dangerous, harming individuals or even whole communities.

2023? No! See history for yourself by classifying newspaper stories from 19th century Britain

https://t.co/FwMHliAb3z

[LibCrowds @LibCrowds]

And then there was one! Zooniverse estimates it'll take 4 days to complete our final @LivingwMachines task.

If you want to explore British place names and think about the impact of machines on lives in the 19th century, you'd better hurry!

https://t.co/tWFGeZMwN7

[LibCrowds @LibCrowds]

If you've been meaning to check out our crowdsourcing / online volunteering tasks on Zooniverse, you'd better get a wriggle on!

We're on our very last tasks and they're all over 93% complete

Pop over to https://t.co/pzUVm0WXer today!

[LibCrowds @LibCrowds]

A time of great anxiety. Machines were changing jobs - maybe even replacing workers. And they could be dangerous, harming individuals or even whole communities.

2023? No! See history for yourself by classifying newspaper stories from 19th century Britain

https://t.co/FwMHliAb3z

[LibCrowds @LibCrowds]

People are great! Thank you everyone who did many or a few articles to get our main 'how did machines change accidents?' task 100% completed!

Can you type in place names or categorise sites where accidents occurred to help us totally finish this project?

https://t.co/FwMHliAb3z

[LibCrowds @LibCrowds]

Looking for an online project to help out with?

Song Describer is a tool for crowdsourced collection of music captions, built by a team of researchers from Queen Mary University of London and Universitat Pompeu Fabra Barcelona

https://t.co/NGphWfnRM1

[LibCrowds @LibCrowds]

Did you miss it? @twistedsweeter has made his https://t.co/2RF3VtC1KM site available again - search the OCR of about 80,000 theatrical English, Scottish, and Irish playbills between 1600 and 1902 (mostly 19th century)

Spread the word, #TheatreHistory #TheaterHistory folks!

[Living with Machines @LivingwMachines]

And here are the summary results on the @BritishLibrary research repository!

Living with Machines Zooniverse Participant Survey
https://t.co/6l6RqcHHvh

With thanks to @the_zooniverse @cstrackproject @LibCrowds @BL_DigiSchol and all the other BL departments who contributed

[Living with Machines @LivingwMachines]

Back in May-June 2022 we ran a survey of our @the_zooniverse volunteers. We'll share the summary on the @britishlibrary research repository soon.

In the meantime, the highlights are on our Talk forum https://t.co/tyj3xw0H1K #AudienceResearch #CitizenScience #crowdsourcing

[LibCrowds @LibCrowds]

@LivingwMachines @BNArchive @britishlibrary @turinginst @ahrcpress @the_zooniverse @turinghut23 @BL_DigiSchol @BL_Local @BL_Ref_Services Our quest for newspaper articles about accidents in Victorian factories, farms and homes isn't all doom and gloom. There are heroic tales, film-worthy train chases, poems, gossip and more.

There are even jokes, like these spotted by a volunteer today!

https://t.co/TCT4XUmBSt

[LibCrowds @LibCrowds]

Our researchers are ready to analyse @LivingwMachines accidents data next week.

Can you help us finish our crowdsourcing tasks by then? Our main task is 76% complete.

If you love old English place names, 'where were accidents reported?' is 82% complete

https://t.co/FwMHliAb3z

[LibCrowds @LibCrowds]

@LivingwMachines @BNArchive @britishlibrary @turinginst @ahrcpress @the_zooniverse @turinghut23 @BL_DigiSchol @BL_Local @BL_Ref_Services Thank you to each and every volunteer who looked at historical news stories and helped us understand how accidents involving machines were reported. Look at the difference you made! Our tasks are 89%, 96%, 97% and 99% complete. So much data for us to investigate...