People
André Panisson
Senior Research Scientist
Fields of study:
Social dynamics, Complex phenomena in technological and social systems
Home page http://www.di.unito.it/~panisson/
Publications
Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy
ACM CHI Conference on Human Factors in Computing Systems (CHI) BEST PAPER AWARD (2021)
WoMG: A Library for Word-of-Mouth Cascades Generation
Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM '21) (2021)
Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis
Journal of Medical Internet Research 22 (10) (2020)
Facebook Ads: Politics of Migration in Italy
Proceeding SocInfo 2020: Lecture Notes in Computer Science book series LNCS, Vol. 12467 (2020)
Generating Realistic Interest-Driven Information Cascades
Proceedings of The 14th International AAAI Conference on Web and Social Media (ICWSM 2020) ©AAAI, June 8-11, 2020, Atlanta, Georgia, USA (2020)
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis
Proceedings of the 28th Italian Symposium on Advanced Database Systems (SEBD 2020) (2020)
FaiRecSys: mitigating algorithmic bias in recommender systems
International Journal of Data Science and Analytics 9 (2020)
The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic
PloS Computational Biology 16(3): e1007633 (2020)
Predicting City Poverty Using Satellite Imagery
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (2019)
Topic Tomographies (TopTom): a visual approach to distill information from media streams
Eurographics Conference on Visualization (EuroVis) 2019 38, 3 (2019)
Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort
Proceedings of the 2019 World Wide Web Conference (WWW '19) (2019)
Wearable Proximity Sensors for Monitoring a Mass Casualty Incident Exercise: Feasibility Study
Journal of Medical Internet Research 21, 4 e12251 (2019)
Deep Learning for Computer Vision: A practitioner’s viewpoint
Workshop at IEEE International Conference on Data Science and Advanced Analytics (DSAA) (2018)
Predicting human mobility through the assimilation of social media traces into mobility models
EPJ Data Science — doi:10.1140/epjds/s13688-016-0092-2 (2016)
Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
EPJ Data Science 20165:21 (2016)
Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition
2015 IEEE International Conf. on Data Mining Workshop (ICDMW) (2015)
Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach
Proceedings of AALTD 117 (2015)
Unveiling patterns of international communities in a global city using mobile phone data
EPJ Data Science 4:3 (2015)
Mining Concurrent Topical Activity in Microblog Streams
Proceedings of the 4th workshop on \'Making Sense of Microposts\', World Wide Web Conference 2014 (2014)
Time-varying social networks in a graph database: a Neo4j use case
Proceeding GRADES \'13 First International Workshop on Graph Data Management Experiences and Systems Article No. 11 (2013)
Activity clocks: spreading dynamics on temporal networks of human contact
Scientific Reports 3 Article number: 3099 (2013)
Fingerprinting temporal networks of close-range human proximity
Proceedings of the International Workshop on the Impact of Human Mobility in Pervasive Systems and Applications (San Diego) (2013)
On the dynamics of human proximity for data diffusion in ad-hoc networks
Ad Hoc Networks 10, 9 (2012)