activity
20102026
most citedDetecting Sarcasm in Multimodal Social Platforms

236 citations · 917 across the 27 of their papers we have counts for

collaborators

31 papers

cs.CY2026

Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys

Federica Sibilla, Vasiliki Voukelatou, Duccio Piovani +4

Data scarcity limits inference in many scientific and policy domains. Survey data are essential for decision-making, but sparse samples often fail to capture fine spatial granulari…

cs.CY2025

Vitamin N: Benefits of Different Forms of Public Greenery for Urban Health

Sanja Šćepanović, Sagar Joglekar, Stephen Law +4

Urban greenery is often linked to better health, yet findings from past research have been inconsistent. One reason is that official greenery metrics measure the amount or nearness…

cs.HC2025

The Experience of Running: Recommending Routes Using Sensory Mapping in Urban Environments

Katrin Hänsel, Luca Maria Aiello, Daniele Quercia +4

Depending on the route, runners may experience frustration, freedom, or fulfilment. However, finding routes that are conducive to the psychological experience of running remains an…

econ.GN2025

Continental-scale assessment of spatial food market accessibility in Africa using open geospatial data

Robert Benassai-Dalmau, Vasiliki Voukelatou, Rossano Schifanella +3

Food market accessibility is a critical yet underexplored dimension of food systems, particularly in low- and middle-income countries. In this paper, we present a continent-wide as…

cs.NE2024

Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks

Oscar Lao, Konstantinos Zacharopoulos, Apostolos Fournaris +2

In the present article, we propose a paradigm shift on evolving Artificial Neural Networks (ANNs) towards a new bio-inspired design that is grounded on the structural properties, i…

physics.soc-ph2024

Resilience of mobility network to dynamic population response across COVID-19 interventions: evidences from Chile

Pasquale Casaburi, Lorenzo Dall'Amico, Nicolò Gozzi +6

The COVID19 pandemic highlighted the importance of non-traditional data sources, such as mobile phone data, to inform effective public health interventions and monitor adherence to…

physics.soc-ph2023★ 1 cited

On the need to move from a single indicator to a multi-dimensional framework to measure accessibility to urban green

Alice Battiston, Rossano Schifanella

With the recent expansion of urban greening interventions, the definition of spatial indicators to measure the provision of urban greenery has become of pivotal importance in infor…

cs.SI2022

Modeling Teams Performance Using Deep Representational Learning on Graphs

Francesco Carli, Pietro Foini, Nicolò Gozzi +2

The large majority of human activities require collaborations within and across formal or informal teams. Our understanding of how the collaborative efforts spent by teams relate t…

cs.CY2022★ 22 cited

Revealing the determinants of gender inequality in urban cycling with large-scale data

Alice Battiston, Ludovico Napoli, Paolo Bajardi +4

Cycling is an outdoor activity with massive health benefits, and an effective solution towards sustainable urban transport. Despite these benefits and the recent rising popularity…

cs.CY2021

A Large Scale Study of Reader Interactions with Images on Wikipedia

Daniele Rama, Tiziano Piccardi, Miriam Redi +1

Wikipedia is the largest source of free encyclopedic knowledge and one of the most visited sites on the Web. To increase reader understanding of the article, Wikipedia editors add…

cs.CY2021★ 46 cited

Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions

Duilio Balsamo, Paolo Bajardi, Alberto Salomone +1

The complex unfolding of the US opioid epidemic in the last 20 years has been the subject of a large body of medical and pharmacological research, and it has sparked a multidiscipl…

cs.CV2019

Mobile Recognition of Wikipedia Featured Sites using Deep Learning and Crowd-sourced Imagery

Jimin Tan, Anastasios Noulas, Diego Sáez +1

Rendering Wikipedia content through mobile and augmented reality mediums can enable new forms of interaction in urban-focused user communities facilitating learning, communication…

cs.CY2019★ 70 cited

Large-scale and high-resolution analysis of food purchases and health outcomes

Luca Maria Aiello, Rossano Schifanella, Daniele Quercia +1

To complement traditional dietary surveys, which are costly and of limited scale, researchers have resorted to digital data to infer the impact of eating habits on people's health.…

cs.LG2018★ 11 cited

Multimodal Social Media Analysis for Gang Violence Prevention

Philipp Blandfort, Desmond Patton, William R. Frey +9

Gang violence is a severe issue in major cities across the U.S. and recent studies [Patton et al. 2017] have found evidence of social media communications that can be linked to suc…

cs.SI2018

Understanding News Outlets' Audience-Targeting Patterns

Erick Elejalde, Leo Ferres, Rossano Schifanella

The power of the press to shape the informational landscape of a population is unparalleled, even now in the era of democratic access to all information outlets. However, it is kno…

cs.SI2017★ 11 cited

Beautiful and damned. Combined effect of content quality and social ties on user engagement

Luca M. Aiello, Rossano Schifanella, Miriam Redi +3

User participation in online communities is driven by the intertwinement of the social network structure with the crowd-generated content that flows along its links. These aspects…

cs.CV2016★ 236 cited

Detecting Sarcasm in Multimodal Social Platforms

Rossano Schifanella, Paloma de Juan, Joel Tetreault +1

Sarcasm is a peculiar form of sentiment expression, where the surface sentiment differs from the implied sentiment. The detection of sarcasm in social media platforms has been appl…

cs.SI2016

The Emotional and Chromatic Layers of Urban Smells

Daniele Quercia, Luca Maria Aiello, Rossano Schifanella

People are able to detect up to 1 trillion odors. Yet, city planning is concerned only with a few bad odors, mainly because odors are currently captured only through complaints mad…

cs.SI2016★ 12 cited

Chatty Maps: Constructing sound maps of urban areas from social media data

Luca Maria Aiello, Rossano Schifanella, Daniele Quercia +1

Urban sound has a huge influence over how we perceive places. Yet, city planning is concerned mainly with noise, simply because annoying sounds come to the attention of city offici…

cs.SI2015

Smelly Maps: The Digital Life of Urban Smellscapes

Daniele Quercia, Rossano Schifanella, Luca Maria Aiello +1

Smell has a huge influence over how we perceive places. Despite its importance, smell has been crucially overlooked by urban planners and scientists alike, not least because it is…

cs.SI2015★ 1 cited

An Image is Worth More than a Thousand Favorites: Surfacing the Hidden Beauty of Flickr Pictures

Rossano Schifanella, Miriam Redi, Luca Aiello

The dynamics of attention in social media tend to obey power laws. Attention concentrates on a relatively small number of popular items and neglecting the vast majority of content…

cs.SI2015★ 74 cited

The Digital Life of Walkable Streets

Daniele Quercia, Luca Maria Aiello, Rossano Schifanella +1

Walkability has many health, environmental, and economic benefits. That is why web and mobile services have been offering ways of computing walkability scores of individual street…

cs.MM2014★ 81 cited

6 Seconds of Sound and Vision: Creativity in Micro-Videos

Miriam Redi, Neil O Hare, Rossano Schifanella +2

The notion of creativity, as opposed to related concepts such as beauty or interestingness, has not been studied from the perspective of automatic analysis of multimedia content. M…

cs.SI2014★ 60 cited

People are Strange when you're a Stranger: Impact and Influence of Bots on Social Networks

Luca Maria Aiello, Martina Deplano, Rossano Schifanella +1

Bots are, for many Web and social media users, the source of many dangerous attacks or the carrier of unwanted messages, such as spam. Nevertheless, crawlers and software agents ar…