Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Daniele Bellutta"'
Autor:
Daniele Bellutta, Kathleen M. Carley
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract Democracies around the world face the threat of manipulation of their electorates via coordinated online influence campaigns. Researchers have responded by developing valuable methods for finding automated accounts and identifying false info
Externí odkaz:
https://doaj.org/article/b867021f64094770848a7e2df0d44e44
Publikováno v:
Social Media + Society, Vol 8 (2022)
Online talk about racism has been salient throughout the COVID-19 pandemic. Yet while such social media conversations reflect existing tensions in the offline world, the same discourse has also become a target for information operations aiming to hei
Externí odkaz:
https://doaj.org/article/e579f6e27ea84356ab31053a8d8bdee4
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 3, p e34040 (2022)
BackgroundDuring the time surrounding the approval and initial distribution of Pfizer-BioNTech’s COVID-19 vaccine, large numbers of social media users took to using their platforms to voice opinions on the vaccine. They formed pro- and anti-vaccina
Externí odkaz:
https://doaj.org/article/a0a836ad03bf4921990b09c9b76249e0
Publikováno v:
Computational and Mathematical Organization Theory. 27:302-323
This paper presents a new social media phenomenon that sees users lying about their deceptive motivations by either dishonestly claiming that they are not bots or by asserting that real news is actually fake news. We analyzed the use of the #FakeNews
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ddd6352959f2085565a310eb008342f
https://doi.org/10.1007/s10588-021-09328-x
https://doi.org/10.1007/s10588-021-09328-x
Autor:
Daniele Bellutta, V. S. Subrahmanian, Daveed Gartenstein-Ross, Anja Subasic, Youdinghuan Chen, Chiara Pulice
Publikováno v:
IEEE Transactions on Computational Social Systems. 7:1423-1434
We propose and investigate 14 hypotheses linking changes in the intensity of relationships between two factions in the Al-Qaeda/ISIS ( AQ/ISIS ) (ecosystem to future changes in other relationships involving one of those two factions. Using a novel 28
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68d01a47c89351f3c37c95fd504daec0
https://doi.org/10.1109/tcss.2020.3022586
https://doi.org/10.1109/tcss.2020.3022586
Publikováno v:
Social, Cultural, and Behavioral Modeling ISBN: 9783031171130
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e660ef085b5ef9a39d66642d80dbf35
https://doi.org/10.1007/978-3-031-17114-7_8
https://doi.org/10.1007/978-3-031-17114-7_8
Publikováno v:
Journal of medical Internet research. 24(3)
Background During the time surrounding the approval and initial distribution of Pfizer-BioNTech’s COVID-19 vaccine, large numbers of social media users took to using their platforms to voice opinions on the vaccine. They formed pro- and anti-vaccin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6aa618a39c3b44a880f0c2e0150d6b57
https://pubmed.ncbi.nlm.nih.gov/35044302
https://pubmed.ncbi.nlm.nih.gov/35044302
BACKGROUND During the time surrounding the approval and initial distribution of Pfizer-BioNTech’s COVID-19 vaccine, large numbers of social media users took to using their platforms to voice opinions on the vaccine. They formed pro- and anti-vaccin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fca5c225efcfd44cb883a50f721e14c
https://doi.org/10.2196/preprints.34040
https://doi.org/10.2196/preprints.34040
Publikováno v:
Studies in Conflict & Terrorism. :1-25
This article investigates group fragmentation in the al-Qaeda and Islamic State ecosystems, employing network analysis to examine the impact of specific network conditions on the probability of a f...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddc068af444880c50a2b6f64cf755076
https://doi.org/10.1080/1057610x.2019.1680184
https://doi.org/10.1080/1057610x.2019.1680184
Publikováno v:
Social, Cultural, and Behavioral Modeling ISBN: 9783030612542
SBP-BRiMS
SBP-BRiMS
This paper analyzes a new social media phenomenon in which users are lying about not being bots or about real news being fake news. Twitter data were collected throughout the 2019 Canadian federal election cycle, and we investigated the use of the #F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df7db041f23ad98aa44fc1b2d20e2f75
https://doi.org/10.1007/978-3-030-61255-9_8
https://doi.org/10.1007/978-3-030-61255-9_8