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Crowdsourcing For Research and Engineering (Tutorial given at CrowdConf 2011)
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Matthew Lease
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Recomendados
Tutorial by Omar Alonso and Matthew Lease, presented July 24, 2011 at the 34th Annual ACM SIGIR Conference in Beijing, China. See http://www.sigir2011.org/crowdsourcing-for-information-retrieval.htm.
Crowdsourcing for Information Retrieval: Principles, Methods, and Applications
Crowdsourcing for Information Retrieval: Principles, Methods, and Applications
Matthew Lease
Talk at the University of Texas at Dallas Department of Computer Science, hosted by Yang Liu (October 10, 2012)
UT Dallas CS - Rise of Crowd Computing
UT Dallas CS - Rise of Crowd Computing
Matthew Lease
Crowdsourcing challenges and opportunities 2012
Crowdsourcing challenges and opportunities 2012
xin wang
Invited Talk at the 2012 Frontiers of Information Science and Technology (FIST) meeting in Shanghai, China (December 12, 2012).
Rise of Crowd Computing (December 2012)
Rise of Crowd Computing (December 2012)
Matthew Lease
Invited Talk at IEEE Metrocon (October 10, 2012)
Metrocon-Rise-Of-Crowd-Computing
Metrocon-Rise-Of-Crowd-Computing
Matthew Lease
Presentation given at the Linguistic Data Consortium (LDC), University of Pennsylvania, April 2019. Based on presentations at the 6th ACM Collective Intelligence Conference, 2018 and the 6th AAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2018. Blog post: https://blog.humancomputation.com/?p=9932.
But Who Protects the Moderators?
But Who Protects the Moderators?
Matthew Lease
Talk given at Delft University speaker series on "Crowd Computing & Human-Centered AI" (https://www.academicfringe.org/). November 23, 2020. Covers two 2020 works: (1) Anubrata Das, Brandon Dang, and Matthew Lease. Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content. In Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2020. Alexander Braylan and Matthew Lease. Modeling and Aggregation of Complex Annotations via Annotation Distances. In Proceedings of the Web Conference, pages 1807--1818, 2020.
Adventures in Crowdsourcing : Toward Safer Content Moderation & Better Suppor...
Adventures in Crowdsourcing : Toward Safer Content Moderation & Better Suppor...
Matthew Lease
Keynote at CONFENIS'2016. Human Computation and Crowdsourcing (HC&C) technologies are an emerging set of techniques that have been proven to greatly reduce the duration and cost of complex tasks that cannot be reliably automated, in fields as diverse as Natural Language Processing, databases, or image analysis. At their core, HC&C techniques rely on splitting large and complex problems into multiple, small and easy tasks solvable by an average contributor in a suitable population and then coordinating the collection and aggregation of individual micro-contributions into a larger result. This talk will report on experiences gained while using HC&C to support the completion of tasks specific to Natural Language Processing, Semantic Web and Software Engineering. Based on these experiences, the talk will explore the potential of HC&C techniques for Information Systems in general, discussing their benefits and pitfalls alike.
Human Computation and Crowdsourcing for Information Systems
Human Computation and Crowdsourcing for Information Systems
Marta Sabou
Recomendados
Tutorial by Omar Alonso and Matthew Lease, presented July 24, 2011 at the 34th Annual ACM SIGIR Conference in Beijing, China. See http://www.sigir2011.org/crowdsourcing-for-information-retrieval.htm.
Crowdsourcing for Information Retrieval: Principles, Methods, and Applications
Crowdsourcing for Information Retrieval: Principles, Methods, and Applications
Matthew Lease
Talk at the University of Texas at Dallas Department of Computer Science, hosted by Yang Liu (October 10, 2012)
UT Dallas CS - Rise of Crowd Computing
UT Dallas CS - Rise of Crowd Computing
Matthew Lease
Crowdsourcing challenges and opportunities 2012
Crowdsourcing challenges and opportunities 2012
xin wang
Invited Talk at the 2012 Frontiers of Information Science and Technology (FIST) meeting in Shanghai, China (December 12, 2012).
Rise of Crowd Computing (December 2012)
Rise of Crowd Computing (December 2012)
Matthew Lease
Invited Talk at IEEE Metrocon (October 10, 2012)
Metrocon-Rise-Of-Crowd-Computing
Metrocon-Rise-Of-Crowd-Computing
Matthew Lease
Presentation given at the Linguistic Data Consortium (LDC), University of Pennsylvania, April 2019. Based on presentations at the 6th ACM Collective Intelligence Conference, 2018 and the 6th AAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2018. Blog post: https://blog.humancomputation.com/?p=9932.
But Who Protects the Moderators?
But Who Protects the Moderators?
Matthew Lease
Talk given at Delft University speaker series on "Crowd Computing & Human-Centered AI" (https://www.academicfringe.org/). November 23, 2020. Covers two 2020 works: (1) Anubrata Das, Brandon Dang, and Matthew Lease. Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content. In Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2020. Alexander Braylan and Matthew Lease. Modeling and Aggregation of Complex Annotations via Annotation Distances. In Proceedings of the Web Conference, pages 1807--1818, 2020.
Adventures in Crowdsourcing : Toward Safer Content Moderation & Better Suppor...
Adventures in Crowdsourcing : Toward Safer Content Moderation & Better Suppor...
Matthew Lease
Keynote at CONFENIS'2016. Human Computation and Crowdsourcing (HC&C) technologies are an emerging set of techniques that have been proven to greatly reduce the duration and cost of complex tasks that cannot be reliably automated, in fields as diverse as Natural Language Processing, databases, or image analysis. At their core, HC&C techniques rely on splitting large and complex problems into multiple, small and easy tasks solvable by an average contributor in a suitable population and then coordinating the collection and aggregation of individual micro-contributions into a larger result. This talk will report on experiences gained while using HC&C to support the completion of tasks specific to Natural Language Processing, Semantic Web and Software Engineering. Based on these experiences, the talk will explore the potential of HC&C techniques for Information Systems in general, discussing their benefits and pitfalls alike.
Human Computation and Crowdsourcing for Information Systems
Human Computation and Crowdsourcing for Information Systems
Marta Sabou
Talk at South-by-southwest (SXSW) on crowdsourcing + human computation = crowd computing., March 11, 2016. See http://www.humancomputation.com. Global growth in Internet connectivity and participation is driving a renaissance in human computation: use of people rather than machines to perform certain computations for which human competency continues to exceed that of state-of-the-art algorithms (e.g. “AI-hard” tasks such as interpreting text or images). While current AI limitations will certainly improve with time, using human computation lets us bulid applications which deliver superior results today. Just as cloud computing now enables us to harness vast Internet computing resources on demand, new crowdsourcing APIsenable us to build computing systems which integrate human computation at run-time, invoking crowd labor on-demand and at-scale. Moreover, we can achieve the best of both worlds by integrating automated AI with human computation, creating hybrid systems with capabilities greater than the sum of their parts. When AI falls short, not only can human computation meet the immediate end-user need, but the results can be fed back into the system to further improve the AI. As a consequence, AI limitations are no longer a bottleneck to delivering innovative, new applications. Such enhanced capabilities have begun to change how we design and implement intelligent systems. While early work in crowd computing focused only on collecting more data from crowds to better train AI, we are increasingly seeing hybrid, socio-computational system emerge which creatively blend human computation and AI at run-time to solve hard computing problems. As such, we find ourselves today in an exhilarating new design space in which intelligent system capabilities are seemingly limited only by our imagination and creativity in designing new algorithms to compute effectively using crowds as well as silicon.
The Rise of Crowd Computing - 2016
The Rise of Crowd Computing - 2016
Matthew Lease
Designing at the Intersection of HCI & AI: Misinformation & Crowdsourced Annotation
Designing at the Intersection of HCI & AI: Misinformation & Crowdsourced Anno...
Designing at the Intersection of HCI & AI: Misinformation & Crowdsourced Anno...
Matthew Lease
Invited talk at the 2019 AAAI Fall Symposium (https://aaai.org/Symposia/Fall/fss19.php) on Artificial Intelligence and Work (https://waim.network/fs19).
AI & Work, with Transparency & the Crowd
AI & Work, with Transparency & the Crowd
Matthew Lease
Talk presented September 6, 2019 at the University of Texas at Austin, USA
Designing Human-AI Partnerships to Combat Misinfomation
Designing Human-AI Partnerships to Combat Misinfomation
Matthew Lease
Faculty Grand Challenges Panel, School of Information, University of Texas at Austin, August 23, 2021.
Key Challenges in Moderating Social Media: Accuracy, Cost, Scalability, and S...
Key Challenges in Moderating Social Media: Accuracy, Cost, Scalability, and S...
Matthew Lease
Presented at the 31st ACM User Interface Software and Technology Symposium (UIST), 2018. Paper: https://www.ischool.utexas.edu/~ml/papers/nguyen-uist18.pdf
Believe it or not: Designing a Human-AI Partnership for Mixed-Initiative Fact...
Believe it or not: Designing a Human-AI Partnership for Mixed-Initiative Fact...
Matthew Lease
Cloud Programming Models: eScience, Big Data, etc.
Cloud Programming Models: eScience, Big Data, etc.
Alexandru Iosup
Talk presented at the ID360 Conference (http://identity.utexas.edu/id360), May 1, 2013. Paper: http://ssrn.com/abstract=2228728. Joint work with Jessica Hullman, Jeffrey P. Bigham, Michael S. Bernstein, Juho Kim, Walter S. Lasecki, Saeideh Bakhshi, Tanushree Mitra, and Robert C. Miller.
Mechanical Turk is Not Anonymous
Mechanical Turk is Not Anonymous
Matthew Lease
Invited talk at SBP 2012: Intl. Conf. on Social Computing, Behavioral-Cultural Modeling, & Prediction (April 3, 2012). Based on paper by Ryu, Lease, and Woodward, to appear at ACM HyperText 2012. Joint work with Hohyon Ryu and Nicholas Woodward.
Discovering and Navigating Memes in Social Media
Discovering and Navigating Memes in Social Media
Matthew Lease
In 1997 publiceerde Harvard professor en zakenman Clayton Christensen het boek “The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail’. Hierin beschrijft hij het verschijnsel dat veel grote bedrijven falen doordat ze niet op tijd inspelen op nieuwe ontwikkelingen. Toen was dus al duidelijk dat de wereld dusdanig snel verandert dat gevestigde bedrijven het steeds vaker niet meer kunnen bijbenen. Inmiddels zijn we 17 jaar verder en zijn de problemen voor deze bedrijven er niet minder op geworden. Er is duidelijk een transitie gaande in de manier waarop waarde wordt gecreëerd. Recentelijk kocht het 10 jaar jonge Facebook het slechts 5 jaar geleden opgerichte Whatsapp voor 19 miljard dollar. Whatsapp is een bedrijfje met 55 medewerkers en bedient daarmee 450 miljoen gebruikers. Het concurreert rechtstreeks met traditionele telecom-giganten als KPN. De marktkapitalisatie van KPN is omgerekend ruim 4 miljard dollar. KPN bedient met 30.000 werknemers slechts een fractie van het aantal gebruikers van Whatsapp. Door dit soort ontwikkelingen zullen veel traditionele banen bedrijven verdwijnen of transformeren. Zo verhuurt het in 2008 begonnen AirBNB per nacht ongeveer 200.000 kamers en heeft een omzet gelijk aan die van de Hilton hotelketen. Bij Airbnb werken 130 mensen. Bij Hilton 144.000. Hele sectoren worden op hun kop gezet door nieuwe spelers, een nieuw soort spelers. Grote bedrijven realiseren zich meer dan ooit wel dat ze innovatiever en wendbaarder moeten worden, maar worstelen met hoe ze dit praktisch aan moeten pakken. Ondertussen duikt steeds meer concurrentie op uit de meest onverwachte hoeken. Het besef dat het rigoreus anders moet dringt toch nog veel te langzaam door in de board room. Tijd dus voor een call-to-action. Op welke manier moeten de bedrijven van vandaag zich gaan organiseren om de toekomst van morgen met vertrouwen tegemoet te kunnen? Hoe ziet waardecreatie er in de toekomst uit? Wat zijn de gevolgen voor de organisatie van werk, voor de organisatie van organisaties?
The future of work, a whitepaper
The future of work, a whitepaper
Patrick Savalle
Keynote on Crowd Computing presented at The 5th International Joint Conference on Natural Language Processing (IJCNLP2011) on November 10th in Chiang Mai, Thailand
Crowd Computing: Opportunities & Challenges (IJCNLP 2011 Keynote)
Crowd Computing: Opportunities & Challenges (IJCNLP 2011 Keynote)
Matthew Lease
Slides presented at the Third International Workshop on the Theory and Practice of Social Machines (at WWW2015 conference in Florence)
An explorative approach for Crowdsourcing tasks design