Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Olga Simek"'
Autor:
Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Hostile influence operations (IOs) that weaponize digital communications and social media pose a rising threat to open democracies. This paper presents a system framework to automate detection of disinformation narratives, networks, and
Publikováno v:
EISIC
Global social media networks' omnipresent access, real time responsiveness and ability to connect with and influence people have been responsible for these networks' sweeping growth. However, as an unintended consequence, these defining characteristi
Publikováno v:
EISIC
Identifying and profiling threat actors are high priority tasks for a number of governmental organizations. These threat actors may operate actively, using the Internet to promote propaganda, recruit new members, or exert command and control over the
Publikováno v:
HICSS
Publikováno v:
IEEE BigData
Human trafficking is a form of modern-day slavery affecting an estimated 40 million victims worldwide, primarily through the commercial sexual exploitation of women and children. In the last decade, the advertising of victims has moved from the stree
Publikováno v:
SSP
Estimating influence on social media networks is an important practical and theoretical problem, especially because this new medium is widely exploited as a platform for disinformation and propaganda. This paper introduces a novel approach to influen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbdd82338ce02041f45144d72b664c44
Autor:
Nicholas Stanisha, Christian C. Anderson, Olga Simek, Paul Breimyer, Kelly Geyer, Andrew Heier, Frederick R. Waugh, Stephanie Foster, J. Daniel Griffith, Danelle C. Shah, Arjun Majumdar
Publikováno v:
GHTC
Every disaster is unique, yet all response efforts face common challenges regarding the collection and processing of disparate data sources, and dissemination of accurate and timely information both to and from disaster areas. Recent advances in grap
Publikováno v:
ICTIR
The microblogging service Twitter is an increasingly popular platform for sharing information worldwide. This motivates the potential to mine information from Twitter, which can serve as a valuable resource for applications such as event localization