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Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms [article]

Akira Matsui, Emilio Ferrara, Fred Morstatter, Andres Abeliuk, Aram Galstyan
2020 arXiv   pre-print
In this study, we propose the use of a computational framework to identify clusters of underperforming workers using clickstream trajectories. We focus on crowdsourced geopolitical forecasting.  ...  The framework can reveal different types of underperformers, such as workers with forecasts whose accuracy is far from the consensus of the crowd, those who provide low-quality explanations for their forecasts  ...  In this paper, we provide empirical evidence that clickstream clustering can be used to detect low-quality workers in crowdsourcing platforms.  ... 
arXiv:2009.01966v1 fatcat:wqkcefr47zhz3ebnrsepdravfu

Marketing ecosystem: An outside-in view for sustainable advantage

Jonathan Z. Zhang, George F. Watson
2020 Industrial Marketing Management  
By leveraging advances in data and technology, firms can sense-make the marketplace by extracting insights from massive amounts of diverse consumer data with modern-J o u r n a l P r e -p r o o f Journal  ...  To deliver sustainably compelling value to customers, firms should adopt an ecosystem mindset and cooperate with various stakeholders.  ...  Research has demonstrated that applying machine learning J o u r n a l P r e -p r o o f techniques to user-generated content can reveal unseen information about the firm's offerings such as consumer quality  ... 
doi:10.1016/j.indmarman.2020.04.023 fatcat:hi4lzibvmreo7dof4w22hr7zse

Understanding And Mapping Big Data

Rajendra Akerkar, Guillermo Vega-Gorgojo, Grunde Løvoll, Stephane Grumbach, Aurelien Faravelon, Rachel Finn, Kush Wadhwa, Anna Donovan, Lorenzo Bigagli
2015 Zenodo  
Data sharing in the cloud will also raise new issues in leveraging data sets, such as how to find valuable public data, how to correlate your own data with public data to add context, how to find high-quality  ...  capabilities of its workers.  ... 
doi:10.5281/zenodo.49161 fatcat:wz3cwet3wfbmvfzucivu3t64eq

Big Data Analytics: The New Boundaries of Retail Location Decision Making

Joseph Aversa, Sean Doherty, Tony Hernandez
2018 Papers in Applied Geography  
Secondly, structured interviews were conducted with 24 retail location decision makers, and lastly, three in-depth cases studies were undertaken in order to highlight the changes to RLDM over the last  ...  (SBD) within the decision-making process; (iii) To identify the awareness, availability, use, adoption and development of SBD; and, (iv) To assess the implications of SBD in RLDM.  ...  Just as before, they rely on sales forecasting models (that has been improved by data and software quality) and market analysis techniques.  ... 
doi:10.1080/23754931.2018.1527720 fatcat:kesps4n7ardu5enn63oqxto2bu

Journalism as usual: The use of social media as a newsgathering tool in the coverage of the Iranian elections in 2009

Megan Knight
2012 Journal of Media Practice  
In this way, we are looking to leverage our decisions on other people's experiences.  ...  replicate and produce high quality outputs cheaply and efficiently DistribuƟon is open to all Small virtual teams can be mobilised globally There are low or few barriers to entry Start-ups can find opportuniƟes  ...  (Chapter 11) Barrier to entry An organisation with low start-up costs or expertise is considered to have a low barrier to entry as there is little to block potential competitors from entering the market  ... 
doi:10.1386/jmpr.13.1.61_1 fatcat:abhz6rqlffdzdklr25gm5d4anq