activity
20172021
most citedQuantifying the Invisible Labor in Crowd Work

88 citations · 120 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC202188 cited

Quantifying the Invisible Labor in Crowd Work

Carlos Toxtli, Siddharth Suri, Saiph Savage

Crowdsourcing markets provide workers with a centralized place to find paid work. What may not be obvious at first glance is that, in addition to the work they do for pay, crowd wo…

cs.HC202016 cited

Reputation Agent: Prompting Fair Reviews in Gig Markets

Carlos Toxtli, Angela Richmond-Fuller, Saiph Savage

Our study presents a new tool, Reputation Agent, to promote fairer reviews from requesters (employers or customers) on gig markets. Unfair reviews, created when requesters consider…

cs.HC202016 cited

Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers

Saiph Savage, Chun-Wei Chiang, Susumu Saito +2

Crowd markets have traditionally limited workers by not providing transparency information concerning which tasks pay fairly or which requesters are unreliable. Researchers believe…

cs.HC2018

Understanding Chatbot-mediated Task Management

Carlos Toxtli, Andrés Monroy-Hernández, Justin Cranshaw

Effective task management is essential to successful team collaboration. While the past decade has seen considerable innovation in systems that track and manage group tasks, these…

cs.SI2017

Redes sociales, participación ciudadana y la hipótesis del slacktivismo: lecciones del caso de "El Bronco" / Social Media, Civic Engagement, and the Slacktivism Hypothesis: Lessons from Mexico's "El Bronco"

Philip N. Howard, Saiph Savage, Claudia Flores-Saviaga +2

El uso de las redes sociales tiene consecuencias positivas o negativas en la participación ciudadana? La gran parte de los intentos por responder a esta pregunta incluyen datos de…