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Mirela Silva
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Predicting misinformation and engagement in covid-19 twitter discourse in the first months of the outbreak
M Silva, F Ceschin, P Shrestha, C Brant, J Fernandes, CS Silva, A Grégio, ...
arXiv preprint arXiv:2012.02164, 2020
232020
Predicting different types of subtle toxicity in unhealthy online conversations
S Gilda, L Giovanini, M Silva, D Oliveira
Procedia Computer Science 198, 360-366, 2022
142022
What makes disinformation ads engaging? A case study of Facebook ads from the Russian active measures campaign
M Silva, L Giovanini, J Fernandes, D Oliveira, CS Silva
Journal of Interactive Advertising 23 (3), 221-240, 2023
42023
Facebook ad engagement in the russian active measures campaign of 2016
M Silva, L Giovanini, J Fernandes, D Oliveira, CS Silva
arXiv preprint arXiv:2012.11690, 2020
42020
Lumen: A machine learning framework to expose influence cues in texts
H Shi, M Silva, L Giovanini, D Capecci, L Czech, J Fernandes, D Oliveira
Frontiers in Computer Science 4, 929515, 2022
32022
Brazilian favela women: how your standard solutions for technology abuse might actually harm them
M Silva, D Oliveira
arXiv preprint arXiv:2101.09257, 2021
22021
Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles.
L Giovanini, F Ceschin, M Silva, A Chen, R Kulkarni, S Banda, M Lysaght, ...
CoRR, 2021
2021
People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation--A Comparison Between COVID and General Narratives on Twitter
M Silva, F Ceschin, P Shrestha, C Brant, S Gilda, J Fernandes, CS Silva, ...
arXiv preprint arXiv:2012.02164, 2020
2020
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Artiklar 1–8