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 …

Privacy in Crowdsourcing: a Review of the Threats and Challenges

H **a, B McKernan - Computer Supported Cooperative Work (CSCW), 2020 - Springer
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 …

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 …

Online social deception and its countermeasures: A survey

Z Guo, JH Cho, R Chen, S Sengupta, M Hong… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

Blind spots and biases: exploring the role of annotator cognitive biases in NLP

S Gautam, M Srinath - arxiv preprint arxiv:2404.19071, 2024 - arxiv.org
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 …

Crowdmask: Using crowds to preserve privacy in crowd-powered systems via progressive filtering

H Kaur, M Gordon, Y Yang, J Bigham… - Proceedings of the …, 2017 - ojs.aaai.org
Crowd-powered systems leverage human intelligence to go beyond the capabilities of
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

Y Shi, D Feng, Y Cheng, S Biswas - Signal, Image and Video Processing, 2021 - Springer
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 …

Uncovering the predictors of unsafe computing behaviors in online crowdsourcing contexts

N Alomar, M Alsaleh, A Alarifi - Computers & Security, 2019 - Elsevier
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 …

Solving the crowdsourcing dilemma using the zero-determinant strategies

Q Hu, S Wang, X Cheng, L Ma… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Co-Detection of crowdturfing microblogs and spammers in online social networks

B Liu, X Sun, Z Ni, J Cao, J Luo, B Liu, X Fu - World Wide Web, 2020 - Springer
The rise of online crowdsourcing services has prompted an evolution from traditional
spamming accounts, which spread unwanted advertisements and fraudulent content, into …