Content-Aware Galaxies: Digital Fingerprints of Discussions on Social Media

Babvey, Pouria; Borrelli, Dario; Lipizzi, Carlo; Ramírez-Márquez, José Emmanuel

doi:10.1109/tcss.2020.3024762

Cited by 4 publications

(2 citation statements)

References 68 publications

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“…During the COVID‐19 pandemic 12 and other crises, 20,21 Twitter has been helpful to understand the behavior and thoughts of people. Several studies use Twitter to better understand humans' perspectives toward the new norms that are a result of the COVID‐19 pandemic 22 perspectives on remote work during and after the initial months of COVID‐19 remain unexplored.…”

Section: Methodsmentioning

confidence: 99%

“…Given its pervasive use (at least in the US), Twitter can keep pace with fast-moving and multiple series of events and at the same time facilitate opinion exchange by users. 19 During the COVID-19 pandemic 12 and other crises, 20,21 Twitter has been helpful to understand the behavior and thoughts of people. Several studies use Twitter to better understand humans' perspectives toward the new norms that are a result of the COVID-19 pandemic 22 perspectives on remote work during and after the initial months of COVID-19 remain unexplored.…”

Section: Twittermentioning

confidence: 99%

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Impacts of work‐at‐home policies on systems engineers and the general population

Perez‐Pereda

Babvey

Ramírez-Márquez

et al. 2022

Systems Engineering

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The COVID‐19 pandemic presented many challenges, one of them being the imposition of “work‐at‐home” policies in March 2020. The Systems Engineering Research Center (SERC) and the International Council on Systems Engineering (INCOSE) conducted two online surveys—one during the first months of the pandemic in 2020 and the second survey 1 year after, in March 2021—to understand the impact of these policies within the systems engineering community. The surveys' format consisted of multiple‐choice questions and open‐answer questions, which were analyzed using LDA for topic modeling. Data were also collected from social media during the same timeframes to compare the feelings and experiences of systems engineers with those of the general population.

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Section: Methodsmentioning

confidence: 99%