Comparing attentional disengagement between Prolific and MTurk samples

DA Albert, D Smilek - Scientific Reports, 2023 - nature.com
Attention often disengages from primary tasks in favor of secondary tasks (ie, multitasking)
and task-unrelated thoughts (ie, mind wandering). We assessed whether attentional …

Replication: How well do my results generalize now? The external validity of online privacy and security surveys

J Tang, E Birrell, A Lerner - … symposium on usable privacy and security …, 2022 - usenix.org
Privacy and security researchers often rely on data collected through online crowdsourcing
platforms such as Amazon Mechanical Turk (MTurk) and Prolific. Prior work---which used …

[HTML][HTML] Accuracy and social motivations shape judgements of (mis) information

S Rathje, J Roozenbeek, JJ Van Bavel… - Nature Human …, 2023 - nature.com
The extent to which belief in (mis) information reflects lack of knowledge versus a lack of
motivation to be accurate is unclear. Here, across four experiments (n= 3,364), we motivated …

Lab-like findings from online experiments

IM Buso, D Di Cagno, L Ferrari, V Larocca… - Journal of the …, 2021 - cambridge.org
Laboratory experiments have been often replaced by online experiments in the last decade.
This trend has been reinforced when academic and research work based on physical …

Careless responding: Why many findings are spurious or spuriously inflated

MD Stosic, BA Murphy, F Duong… - … in Methods and …, 2024 - journals.sagepub.com
Contrary to long-standing conventional wisdom, failing to exclude data from carelessly
responding participants on questionnaires or behavioral tasks will frequently result in false …

Intersectional invisibility in women's diversity interventions

CYE Wong, TA Kirby, F Rink, MK Ryan - Frontiers in Psychology, 2022 - frontiersin.org
Many diversity interventions for women are ineffective. One reason for this may be that the
field that diversity interventions are usually based on, the social sciences, often do not …

Meganno+: A human-llm collaborative annotation system

H Kim, K Mitra, RL Chen, S Rahman… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) can label data faster and cheaper than humans for various
NLP tasks. Despite their prowess, LLMs may fall short in understanding of complex …

Understanding people's concerns and attitudes toward smart cities

P Emami-Naeini, J Breda, W Dai, T Kohno… - Proceedings of the …, 2023 - dl.acm.org
Designing privacy-respecting and human-centric smart cities requires a careful investigation
of people's attitudes and concerns toward city-wide data collection scenarios. To capture a …

[HTML][HTML] The perceived impacts of short-term rental platforms: Comparing the United States and United Kingdom

C Lutz, F Majetić, C Miguel, R Perez-Vega… - Technology in Society, 2024 - Elsevier
Short-term rental platforms such as Airbnb have enjoyed considerable success in recent
years. However, critics accuse the platforms of having negative impacts, leading to …