Measuring objective and subjective well-being: dimensions and data sources

V Voukelatou, L Gabrielli, I Miliou, S Cresci… - International Journal of …, 2021 - Springer
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research …

H Elazhary - Journal of network and computer applications, 2019 - Elsevier
Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …

Social media for intelligent public information and warning in disasters: An interdisciplinary review

C Zhang, C Fan, W Yao, X Hu, A Mostafavi - International Journal of …, 2019 - Elsevier
Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …

The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race

S Cresci, R Di Pietro, M Petrocchi… - Proceedings of the 26th …, 2017 - dl.acm.org
Recent studies in social media spam and automation provide anecdotal argumentation of
the rise of a new generation of spambots, so-called social spambots. Here, for the first time …

Rtbust: Exploiting temporal patterns for botnet detection on twitter

M Mazza, S Cresci, M Avvenuti… - Proceedings of the 10th …, 2019 - dl.acm.org
Within OSNs, many of our supposedly online friends may instead be fake accounts called
social bots, part of large groups that purposely re-share targeted content. Here, we study …

Social fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling

S Cresci, R Di Pietro, M Petrocchi… - … on Dependable and …, 2017 - ieeexplore.ieee.org
Spambot detection in online social networks is a long-lasting challenge involving the study
and design of detection techniques capable of efficiently identifying ever-evolving …

Human migration: The big data perspective

A Sîrbu, G Andrienko, N Andrienko, C Boldrini… - International Journal of …, 2021 - Springer
How can big data help to understand the migration phenomenon? In this paper, we try to
answer this question through an analysis of various phases of migration, comparing …

Task allocation in spatial crowdsourcing: Current state and future directions

B Guo, Y Liu, L Wang, VOK Li… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …

Crime and its fear in social media

R Prieto Curiel, S Cresci, CI Muntean… - Palgrave …, 2020 - nature.com
Social media posts incorporate real-time information that has, elsewhere, been exploited to
predict social trends. This paper considers whether such information can be useful in …

CrisMap: a big data crisis mapping system based on damage detection and geoparsing

M Avvenuti, S Cresci, F Del Vigna, T Fagni… - Information Systems …, 2018 - Springer
Natural disasters, as well as human-made disasters, can have a deep impact on wide
geographic areas, and emergency responders can benefit from the early estimation of …