13 research outputs found
Mobilizing the Trump Train: Understanding Collective Action in a Political Trolling Community
Political trolls initiate online discord not only for the lulz (laughs) but
also for ideological reasons, such as promoting their desired political
candidates. Political troll groups recently gained spotlight because they were
considered central in helping Donald Trump win the 2016 US presidential
election, which involved difficult mass mobilizations. Political trolls face
unique challenges as they must build their own communities while simultaneously
disrupting others. However, little is known about how political trolls mobilize
sufficient participation to suddenly become problems for others. We performed a
quantitative longitudinal analysis of more than 16 million comments from one of
the most popular and disruptive political trolling communities, the subreddit
/r/The\_Donald (T\D). We use T_D as a lens to understand participation and
collective action within these deviant spaces. In specific, we first study the
characteristics of the most active participants to uncover what might drive
their sustained participation. Next, we investigate how these active
individuals mobilize their community to action. Through our analysis, we
uncover that the most active employed distinct discursive strategies to
mobilize participation, and deployed technical tools like bots to create a
shared identity and sustain engagement. We conclude by providing data-backed
design implications for designers of civic media
The Challenges of Crowd Workers in Rural and Urban America
Crowd work has the potential of helping the financial recovery of regions
traditionally plagued by a lack of economic opportunities, e.g., rural areas.
However, we currently have limited information about the challenges facing
crowd work-ers from rural and super rural areas as they struggle to make a
living through crowd work sites. This paper examines the challenges and
advantages of rural and super rural AmazonMechanical Turk (MTurk) crowd workers
and contrasts them with those of workers from urban areas. Based on a survey
of421 crowd workers from differing geographic regions in theU.S., we identified
how across regions, people struggled with being onboarded into crowd work. We
uncovered that despite the inequalities and barriers, rural workers tended to
be striving more in micro-tasking than their urban counterparts. We also
identified cultural traits, relating to time dimension and individualism, that
offer us an insight into crowd workers and the necessary qualities for them to
succeed on gig platforms. We finish by providing design implications based on
our findings to create more inclusive crowd work platforms and tool
The Global Care Ecosystems of 3D Printed Assistive Devices
The popularity of 3D printed assistive technology has led to the emergence of
new ecosystems of care, where multiple stakeholders (makers, clinicians, and
recipients with disabilities) work toward creating new upper limb prosthetic
devices. However, despite the increasing growth, we currently know little about
the differences between these care ecosystems. Medical regulations and the
prevailing culture have greatly impacted how ecosystems are structured and
stakeholders work together, including whether clinicians and makers
collaborate. To better understand these care ecosystems, we interviewed a range
of stakeholders from multiple countries, including Brazil, Chile, Costa Rica,
France, India, Mexico, and the U.S. Our broad analysis allowed us to uncover
different working examples of how multiple stakeholders collaborate within
these care ecosystems and the main challenges they face. Through our study, we
were able to uncover that the ecosystems with multi-stakeholder collaborations
exist (something prior work had not seen), and these ecosystems showed
increased success and impact. We also identified some of the key follow-up
practices to reduce device abandonment. Of particular importance are to have
ecosystems put in place follow up practices that integrate formal agreements
and compensations for participation (which do not need to be just monetary). We
identified that these features helped to ensure multi-stakeholder involvement
and ecosystem sustainability. We finished the paper with socio-technical
recommendations to create vibrant care ecosystems that include multiple
stakeholders in the production of 3D printed assistive devices
Avances en Interacci贸n Humano-Computadora
Crowdsourced content creation like articles or slogans can be
powered by crowds of volunteers or workers from paid task
markets. Volunteers often have expertise and are intrinsically
motivated, but are a limited resource, and are not always reliably
available. On the other hand, paid crowd workers are reliably
available, can be guided to produce high-quality content, but cost
money. How can these different populations of crowd workers be
leveraged together to power cost-effective yet high-quality crowdpowered content-creation systems? To answer this question, we
need to understand the strengths and weaknesses of each. We
conducted an online study where we hired paid crowd workers and
recruited volunteers from social media to complete three content
creation tasks for three real-world non-profit organizations that
focus on empowering women. These tasks ranged in complexity
from simply generating keywords or slogans to creating a draft
biographical article. Our results show that paid crowds completed
work and structured content following editorial guidelines more
effectively. However, volunteer crowds provide content that is
more original. Based on the findings, we suggest that crowdpowered content-creation systems could gain the best of both
worlds by leveraging volunteers to scaffold the direction that
original content should take; while having paid crowd workers
structure content and prepare it for real world use.Avances en Interacci贸n Humano computadorafile:///C:/Users/Propietario/Downloads/65-13-135-3-10-20210201.pd
Migraci贸n de la Base de Datos del Sistema de Libros y Tutores Interactivos del CSLR
La Universidad de Colorado a trav茅s del Center for Spoken Language
Research (CSLR) se ha preocupado por desarrollar software educativo capaz
de ayudar al alumno en la lectura y comprensi贸n de textos [CSLR, 03].
Con dicho prop贸sito desarroll贸 un sistema que contiene una
gran variedad de tutores y libros interactivos capaces de proveer al alumno
de un ambiente amigable de trabajo. El sistema capta su atenci贸n mediante
actividades que lo ayuden a desarrollar las habilidades de lectura, escritura
y comprensi贸n de la lengua estudiada. Retroaliment谩ndolo en
sus errores y aciertos mediante la ayuda de agentes animados que desempe帽an
el papel de un maestro virtual