if there's a popular clamor like people really want to know so they'll be yelling at this priesthood and say shut the up you you're telling this this doesn't exist but we are thousands or millions now and and we really want some of you up there to investigate it. So I think that's a key role that media um can play today in an age where journalism is broken
for - crowdsourcing science - via media and mass voting - Eric's media project
Volunteers like Taylor who could fill gaps in quotations and search outdesiderata were invaluable to Murray. They were marked in the addressbooks by numbered D’s when desiderata lists had been sent to them, and by asmall Star of David sign when a third list had been sent.
The box in the archives held two further address books belonging toMurray, and the following summer, in a box in the Bodleian Library, I foundanother three address books belonging to the Editor who had preceded him,Frederick Furnivall. As I worked my way through them, it became clear thatthere were thousands of contributors. Some three thousand, to be exact.
Sarah Ogilvie found a total of three address books from Dr. Murray as well as three address books from Frederick Furnivall which contained details about the three thousand or so contributors to the OED.
Readers received a list of twelve instructions on how to select a word,which included, ‘Give the date of your book (if you can), author, title (short).Give an exact reference, such as seems to you to be the best to enable anyoneto verify your quotations. Make a quotation for every word that strikes you asrare, obsolete, old-fashioned, new, peculiar, or used in a peculiar way.’
https://pages.oup.com/ol/cus/1646173949115570121/submit-words-and-evidence-to-the-oed
The modern day digital version of an OED contribution slip includes database fields for the following:
Only the first two fields are mandatory.
User input in OED entries https://www.youtube.com/watch?v=UD7grPoShzA
https://transcription.si.edu/project/8547
The Transcription Center's Phyllis Diller Gag File repository.
Was this compiled into some other searchable database?
David Pescovitz in Boing Boing: Help the Smithsonian transcribe Phyllis Diller's jokes at 2017-04-17 (accessed:: 2023-08-26 03:50:15)
Catlin, Roger. “How Many Volunteers Does It Take to Transcribe Phyllis Diller’s 53,000 Jokes?” Smithsonian Magazine, March 6, 2017. https://www.smithsonianmag.com/smithsonian-institution/how-many-volunteers-does-take-transcribe-phyllis-dillers-jokes-180962384/.
But when Diller’s jokes came up for transcription last week, “they are going like gangbusters,” says Meghan Ferriter, project coordinator. “I think we actually gained about 115 new volunteers in one day.”
Meghan Ferriter, a project coordinator at the Smithsonian Institution, claimed that the transcription of Phyllis Diller's gag file helped the Smithsonian Transcription Center gain 115 volunteers in a single day.
Three weeks and 52,569 jokes later, the job was completed.
It took three weeks of volunteer effort for transcribers to convert the 52,569 index cards of jokes in Phyllis Diller's gag file into digitized text.
At best, we will see new forms of collaboration among large numbers of people toward beneficial ends. The most obvious example is the changing nature of responses to largescale natural disasters. Perhaps we will see this spirit of volunteer and entrepreneurial cooperation emerge to address such pressing issues as climate change (e.g., maybe, the Green New Deal will be crowdsourced)
The Zooniverse enables everyone to take part in real cutting edge research in many fields across the sciences, humanities, and more. The Zooniverse creates opportunities for you to unlock answers and contribute to real discoveries.
Böhm, Robert, Cornelia Betsch, Yana Litovsky, Philipp Sprengholz, Noel Brewer, Gretchen Chapman, Julie Leask, et al. ‘Crowdsourcing Interventions to Promote Uptake of COVID-19 Booster Vaccines’. PsyArXiv, 10 February 2022. https://doi.org/10.31234/osf.io/n5b6x.
Mazumdar, S., & Thakker, D. (2020). Citizen Science on Twitter: Using Data Analytics to Understand Conversations and Networks. Future Internet, 12(12), 210. https://doi.org/10.3390/fi12120210
"The current results have been established due to two test phases with a very small amount of payed testers, and thus can not enable to elaborate the total waste heat potentials in Vienna and Graz."
Lee, Y. K., Jung, Y., Lee, I., Park, J. E., & Hahn, S. (2021). Building a Psychological Ground Truth Dataset with Empathy and Theory-of-Mind During the COVID-19 Pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/mpn3w
Breznau, N., Rinke, E. M., Wuttke, A., Adem, M., Adriaans, J., Alvarez-Benjumea, A., Andersen, H. K., Auer, D., Azevedo, F., Bahnsen, O., Balzer, D., Bauer, G., Bauer, P. C., Baumann, M., Baute, S., Benoit, V., Bernauer, J., Berning, C., Berthold, A., … Nguyen, H. H. V. (2021). Observing Many Researchers using the Same Data and Hypothesis Reveals a Hidden Universe of Data Analysis. MetaArXiv. https://doi.org/10.31222/osf.io/cd5j9
Ramamurti, R. (2020, October 27). Global Crowdsourcing Can Help the U.S. Beat the Pandemic. Harvard Business Review. https://hbr.org/2020/10/global-crowdsourcing-can-help-the-u-s-beat-the-pandemic
Witte, E. H., Stanciu, A., & Zenker, F. (2020, October 28). A simple measure for the empirical adequacy of a theoretical construct. https://doi.org/10.31234/osf.io/gdm
Allen, J. N. L., Arechar, A. A., Pennycook, G., & Rand, D. G. (2020, October 1). Scaling Up Fact-Checking Using the Wisdom of Crowds. https://doi.org/10.31234/osf.io/9qdza
Bauer, B., Larsen, K. L., Caulfield, N., Elder, D., Jordan, S., & Capron, D. (2020). Review of Best Practice Recommendations for Ensuring High Quality Data with Amazon’s Mechanical Turk. PsyArXiv. https://doi.org/10.31234/osf.io/m78sf
PREreview, Daniela Saderi, Ph D. , Co-Founder and Director of. ‘Crowdsourcing Preprint Reviews: PREreview and COS Call for Feedback on Infrastructure Integration’. Accessed 2 October 2020. https://www.cos.io/blog/prereview-and-cos-call-for-feedback-on-infrastructure-integration.
Dikker, S. (2020, June 15). Out of the lab: Crowdsourcing neuroscience during real-world social interactions. Neurosync-2020. https://www.youtube.com/watch?v=XE1XcSNWDQc
Jeff Howe - Crowdsourcing and the Crisis: Collective Intelligence in the Age of Covid-19 (ACM CI’20). (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?v=POPMMHyIoS0
ACM Collective Intelligence 2020—Keynotes. (n.d.). YouTube. https://www.youtube.com/channel/UCYecxGPlIg9XryIeXVtsMvA
David G. Rand en Twitter: “Today @GordPennycook & I wrote a @nytimes op ed ‘The Right Way to Fix Fake News’ https://t.co/dyF84g6oqv tl;dr: Platforms must rigorously TEST interventions, b/c intuitions about what will work are often wrong In this thread I unpack the many studies behind our op ed 1/” / Twitter. (n.d.). Twitter. Retrieved April 15, 2020, from https://twitter.com/dg_rand/status/1242526565793136641
David G. Rand en Twitter: “Today @GordPennycook & I wrote a @nytimes op ed ‘The Right Way to Fix Fake News’ https://t.co/dyF84g6oqv tl;dr: Platforms must rigorously TEST interventions, b/c intuitions about what will work are often wrong In this thread I unpack the many studies behind our op ed 1/” / Twitter. (n.d.). Twitter. Retrieved April 15, 2020, from https://twitter.com/DG_Rand/status/1242526565793136641
Young, N., Saperia, E. (2020 April 14). Crowdsourcing ideas to combat COVID-19. Nesta. https://www.nesta.org.uk/blog/crowdsourcing-ideas-combat-covid-19/
Desai, A., Warner, J., Kuderer, N., Thompson, M., Painter, C., Lyman, G., & Lopes, G. (2020). Crowdsourcing a crisis response for COVID-19 in oncology. Nature Cancer, 1–4. https://doi.org/10.1038/s43018-020-0065-z
Epstein, Z., Pennycook, G., & Rand, D. (2020). Will the Crowd Game the Algorithm? Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–11. https://doi.org/10.1145/3313831.3376232
University of Amsterdam scientists launch website that seeks ideal COVID-19 exit strategy. (2020 April 21) Science|Business. https://sciencebusiness.net/network-updates/university-amsterdam-scientists-launch-website-seeks-ideal-covid-19-exit-strategy
Collective Intelligence and COVID-19 | Trello. (n.d.). Retrieved April 20, 2020, from https://trello.com/b/STdgEhvX/collective-intelligence-and-covid-19
In the domain of pet advocacy, the latent potential for crowd interaction comes fromintrinsic and extrinsic motivations—we focus on how that potentialwas transformed intoa viable form of distributed, decentralized cooperative work.
Evokes Kittur, et al's work on peer production/crowd motivation
Finally, a maincontribution of this research lies in the examination of the solicitation of expertise in a digitally-connected world, where widely distributed and diverse expertise must nevertheless be realized under highly localized conditions.
Evokes crowdsourcing/peer production literature on expertise (Majchrzak et al, Faraj et al, Benkler et al, Kittur,et al.)
Roland Barthes
Practically like hypothes.is this very scholarly website invites us to weigh in on Barthes FAQ http://www.vipfaq.com/Roland%20Barthes.html
"Legitimate peripheral participation" provides a way to speak about the relations between newcomers and old-timers, and about activities, identities, artifacts, and communities of knowledge and practice. It concerns the process by which newcomers become part of a community of practice. A person's intentions to learn are engaged and the meaning of learning is configured through the process of becoming a full participant in a sociocultural practice. This social process includes, indeed it subsumes, the learning of knowledgeable skills.
This is an apt description for how SBTF volunteers are onboarded and learn how to contribute to a crowdsourcing process.
Capacity can also affect crisis potential through staffing decisions that affect the diversity of acts that are available. Enactment is labour-intensive, which means understaffing has serious effects.
Diverse labor force is also a central principle of effective crowdsourcing and collective intelligence.
The intersection of crowdsourcing with human computation in Figure 1 represents applications that could reasonably be considered as replacements for either traditional human roles or computer roles.
Authors provide example of language translation which could be performed by a machine (when speed and cost matter) or via crowdsourcing (when quality matters)
“Crowdsourcing is the act of taking a job traditionally performed by a designated agent (usually an employee) and outsourcing it to an undefined, generally large group of people in the form of an open call.” [24
Crowdsourcing definition
Labor process of worker replaced by public.
Peer production successfully elicits contributions from diverse individu-als with diverse motivations – a quality that continues to distinguish it fromsimilar forms of collective intelligence
Benkler makes a really bold statement here about how peer production differs from collective intelligence. Not sure I buy this argument.
Brabner on crowdsourcing:
Bringing survey research into the digital age.
Consensus building tool used by Wikidata and others.
The IDEAT project launched by the Partit Nazzjonalista a few days ago offers a glimpse into how Maltese politics can be transformed through a digital platform which bridges the divide between the citizen and the Party that represents it. IDEAT is built around an eDemocracy framework in which ICT serves as a tool of choice in order to, not only engage and communicate with the population, but empower it to be better equipped to participate in the democratic process. Crowdsourcing is less a new idea than a new concept. It covers a wide array of tools that use the power and knowledge of crowds brought together through the Internet, especially by means of social media and other applications which primarily focus on bottom-up information flow. Citizens can take part in brainstorming, discussing, developing, and formulating ideas that used to be the limited domain of political elites. This IDEAT project seeks to explore methods to obtain active citizen input in the policymaking processes - an input which has been severely curtailed by this government. It serves to empower each and every one of us, enabling our voice and ideas to be heard. Politics for the people can be more than just casting your vote when a general election comes by.
From July 2008 to April 2012, Googleoffered a service called Google Knol, where a ‘knol’ is a basic ‘unit of knowledge’ asopposed, presumably, to a unit of information.4Users wrote ‘knols’ predicated upon theirown interests and expertise.
The "KNOL" a unit of knowledge: a Google experiment in crowd-sourcing knowledge
(Crazy app uptake + riding data + math wizardry = many surprises in store.)
Like Waze for public transit? Way to merge official Open Data from municipal authorities with the power of crowdsourcing mass transportation.
article on crowdsourcing cultural heritage