Results 21 to 30 of about 151,897 (324)
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 The use of crowdworkers in NLP research is growing rapidly, in tandem with the exponential increase in research production in machine learning and AI.
Boaz Shmueli +3 more
semanticscholar +1 more source
CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON [PDF]
International Conference on Climate Informatics, 2013 Even though considerable attention has been given to the polarity of words (positive and negative) and the creation of large polarity lexicons, research in emotion analysis has had to rely on limited and small emotion lexicons. In this paper, we show how
Saif M. Mohammad, Peter D. Turney
semanticscholar +1 more source
Crowdsourcing with Smartphones [PDF]
IEEE Internet Computing, 2012 Smartphones can reveal crowdsourcing's full potential and let users transparently contribute to complex and novel problem solving. This emerging area is illustrated through a taxonomy that classifies the mobile crowdsourcing field and through three new applications that optimize location-based search and similarity services based on crowd-generated ...
Chatzimilioudis, Georgios +7 more
openaire +2 more sources
Identification and Segmentation of User Value in Crowdsourcing Platforms:An Improved RFMModel [PDF]
Jisuanji kexue, 2022 On the crowdsourcing platform, different types of users have diversity and differences in participation intention, work motivation, business ability and other aspects, and the value they generated on the platform is also different.The segmentation of ...
CHEN Dan-hong, PENG Zhang-lin, WAN De-quan, YANG Shan-lin
doaj +1 more source
International Conference on Human Factors in Computing Systems, 2022 Reliably recruiting participants with programming skills is an ongoing challenge for empirical studies involving software development technologies, often leading to the use of crowdsourcing platforms and computer science (CS) students.
Mohammad Tahaei, Kami Vaniea
semanticscholar +1 more source
Crowdsourcing to support training for public health: A scoping review.
PLOS Global Public Health, 2023 Crowdsourcing is an interactive process that has a group of individuals attempt to solve all or part of a problem and then share solutions with the public.
Kadija M Tahlil +15 more
doaj +1 more source
Applications of Crowdsourcing in Evidence Synthesis: A Case Study of Cochrane Crowd [PDF]
Nongye tushu qingbao xuebao, 2023 [Purpose/Significance] Evidence-informed decision-making is a means to bridge the gap between research and policy and evidence synthesis has become an important tool for evidence-based decision-making in many fields.
LI Xiao, QU Jiansheng, KOU Leilei
doaj +1 more source
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior [PDF]
International Conference on Web and Social Media, 2018 In recent years online social networks have suffered an increase in sexism, racism, and other types of aggressive and cyberbullying behavior, often manifesting itself through offensive, abusive, or hateful language.
Antigoni-Maria Founta +8 more
semanticscholar +1 more source
The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms [PDF]
Scientific Data, 2020 Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening.
Lara Orlandic +2 more
semanticscholar +1 more source
, 2022 Chapter 2 in the book Cultural-historical perspectives on collective intelligence. In the era of digital communication, collective problem solving is increasingly important. Large groups can now resolve issues together in completely different ways, which has transformed the arts, sciences, business, education, technology, and medicine.
Carmen Bueno Muñoz +2 more
+5 more sources