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Cognitive biases in crowdsourcing
C Eickhoff - Proceedings of the eleventh ACM international …, 2018 - dl.acm.org
Crowdsourcing has become a popular paradigm in data curation, annotation and evaluation
for many artificial intelligence and information retrieval applications. Considerable efforts …
for many artificial intelligence and information retrieval applications. Considerable efforts …
Privacy in Crowdsourcing: a Review of the Threats and Challenges
Crowdsourcing platforms such as Amazon Mechanical Turk (MTurk) are popular and widely
used in both academic and non-academic realms, but privacy threats and challenges in …
used in both academic and non-academic realms, but privacy threats and challenges in …
How mood affects the stock market: Empirical evidence from microblogs
Y Sun, X Liu, G Chen, Y Hao, ZJ Zhang - Information & Management, 2020 - Elsevier
Examining 22,504 tweets extracted from Sina Weibo, a microblog site, we identify two
clusters of microblog users and study how they influence the stock market. Our research …
clusters of microblog users and study how they influence the stock market. Our research …
Online social deception and its countermeasures: A survey
We are living in an era when online communication over social network services (SNSs)
have become an indispensable part of people's everyday lives. As a consequence, online …
have become an indispensable part of people's everyday lives. As a consequence, online …
Blind spots and biases: exploring the role of annotator cognitive biases in NLP
With the rapid proliferation of artificial intelligence, there is growing concern over its potential
to exacerbate existing biases and societal disparities and introduce novel ones. This issue …
to exacerbate existing biases and societal disparities and introduce novel ones. This issue …
Crowdmask: Using crowds to preserve privacy in crowd-powered systems via progressive filtering
Crowd-powered systems leverage human intelligence to go beyond the capabilities of
automated systems, but also introduce privacy and security concerns because unknown …
automated systems, but also introduce privacy and security concerns because unknown …
A natural language-inspired multilabel video streaming source identification method based on deep neural networks
Existing website fingerprinting techniques are not effective with video streaming traffic when
the encrypted traffic contains multiple streams. This paper presents a deep learning-based …
the encrypted traffic contains multiple streams. This paper presents a deep learning-based …
Uncovering the predictors of unsafe computing behaviors in online crowdsourcing contexts
The self-protective decisions of crowd workers are driven by the interplay of many factors,
including the characteristics of the crowdsourced tasks, the trustworthiness of the task …
including the characteristics of the crowdsourced tasks, the trustworthiness of the task …
Solving the crowdsourcing dilemma using the zero-determinant strategies
Crowdsourcing is a promising technology to accomplish a complex task via eliciting services
from a large group of contributors. Recent observations indicate that the success of …
from a large group of contributors. Recent observations indicate that the success of …
Co-Detection of crowdturfing microblogs and spammers in online social networks
The rise of online crowdsourcing services has prompted an evolution from traditional
spamming accounts, which spread unwanted advertisements and fraudulent content, into …
spamming accounts, which spread unwanted advertisements and fraudulent content, into …