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pro vyhledávání: '"Shravika Mittal"'
Autor:
Jasmine C Foriest, Shravika Mittal, Eugenia Kim, Andrea Carmichael, Natalie Lennon, Steven A Sumner, Munmun De Choudhury
Publikováno v:
JMIR Mental Health, Vol 11, p e49879 (2024)
BackgroundSuicide is a leading cause of death worldwide. Journalistic reporting guidelines were created to curb the impact of unsafe reporting; however, how suicide is framed in news reports may differ by important characteristics such as the circums
Externí odkaz:
https://doaj.org/article/08b3f699bd124fcd93e72c801fc2d090
Publikováno v:
Knowledge and Information Systems. 65:111-132
Autor:
Shravika Mittal, Munmun De Choudhury
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-12
The behaviour of information cascades (such as retweets) has been modelled extensively. While point process-based generative models have long been in use for estimating cascade growths, deep learning has greatly enhanced diverse feature integration.
Community affiliation of a node plays an important role in determining its contextual position in the network, which may raise privacy concerns when a sensitive node wants to hide its identity in a network. Oftentimes, a target community seeks to pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24e1e4cfa9e0c2d3020a57bd7e1a1045
Many classes of network growth models have been proposed in the literature for capturing real-world complex networks. Existing research primarily focuses on global characteristics of these models, e.g., degree distribution. We aim to shift the focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91cefce2ed033a3a0eb0d05d5a00e8e9