Modeling information diffusion in social media: data-driven observations

Autor: Adriana Iamnitchi, Lawrence O. Hall, Sameera Horawalavithana, Frederick Mubang, Kin Wai Ng, John Skvoretz

Publikováno v: Frontiers in Big Data, Vol 6 (2023)

Accurately modeling information diffusion within and across social media platforms has many practical applications, such as estimating the size of the audience exposed to a particular narrative or testing intervention techniques for addressing misinf

Externí odkaz: https://doaj.org/article/73e060b386864b5d9c02987ca5105fd3

Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development

Autor: Sameera Horawalavithana, Ravindu De Silva, Nipuna Weerasekara, N G Kin Wai, Mohamed Nabeel, Buddhini Abayaratna, Charitha Elvitigala, Primal Wijesekera, Adriana Iamnitchi

Publikováno v: Computational and Mathematical Organization Theory, 1-22. Kluwer Academic Publishers
STARTPAGE=1;ENDPAGE=22;ISSN=1381-298X;TITLE=Computational and Mathematical Organization Theory

The development of COVID-19 vaccines during the global pandemic that started in 2020 was marked by uncertainty and misinformation reflected also on social media. This paper provides a quantitative evaluation of the Uniform Resource Locators (URLs) sh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62c646def46d9d589b020384bf2e69ac
https://pubmed.ncbi.nlm.nih.gov/36466588

Social media activity forecasting with exogenous and endogenous signals

Autor: Kin NG, Adriana Iamnitchi, Sameera Horawalavithana

Publikováno v: Social Network Analysis and Mining, 12(1):102. Springer

Modeling social media activity has numerous practical implications such as in helping analyze strategic information operations, designing intervention techniques to mitigate disinformation, or delivering critical information during disaster relief op

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02c351a38d8e01291e6ec2c2a791b796
https://doi.org/10.1007/s13278-022-00927-3

Behind the Mask: Understanding the Structural Forces That Make Social Graphs Vulnerable to Deanonymization

Autor: Adriana Iamnitchi, Sameera Horawalavithana, Juan Arroyo Flores, John Skvoretz

Publikováno v: IEEE Transactions on Computational Social Systems. 6:1343-1356

The tradeoff between anonymity and utility in the context of the anonymization of graph data sets is well acknowledged; for better privacy, some of the graph structural properties must be lost. What is not well understood, however, is what forces sha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::24e32f1a5a81719f9f89ee090c532c9b
https://doi.org/10.1109/tcss.2019.2951330

Drivers of Polarized Discussions on Twitter during Venezuela Political Crisis

Autor: Sameera Horawalavithana, Adriana Iamnitchi, Kin Wai Ng

Publikováno v: WebSci

Social media activity is driven by real-world events (natural disasters, political unrest, etc.) and by processes within the platform itself (viral content, posts by influentials, etc). Understanding how these different factors affect social media co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::919bc25db3d7fa00d00a2f7a1f3a89fb
https://doi.org/10.1145/3447535.3462496