2 research outputs found
The Conspiracy Money Machine: Uncovering Telegram's Conspiracy Channels and their Profit Model
In recent years, major social media platforms have implemented increasingly
strict moderation policies, resulting in bans and restrictions on conspiracy
theory-related content. To circumvent these restrictions, conspiracy theorists
are turning to alternatives, such as Telegram, where they can express and
spread their views with fewer limitations. Telegram offers channels -- virtual
rooms where only administrators can broadcast messages -- and a more permissive
content policy. These features have created the perfect breeding ground for a
complex ecosystem of conspiracy channels.
In this paper, we illuminate this ecosystem. First, we propose an approach to
detect conspiracy channels. Then, we discover that conspiracy channels can be
clustered into four distinct communities comprising over 17,000 channels.
Finally, we uncover the "Conspiracy Money Machine," revealing how most
conspiracy channels actively seek to profit from their subscribers. We find
conspiracy theorists leverage e-commerce platforms to sell questionable
products or lucratively promote them through affiliate links. Moreover, we
observe that conspiracy channels use donation and crowdfunding platforms to
raise funds for their campaigns. We determine that this business involves
hundreds of donors and generates a turnover of over $90 million
Corpus callosum abnormalities: neuroimaging, cytogenetics and clinical characterization of a very large multicenter Italian series
Corpus callosum abnormalities (CCA) have an estimated prevalence
ranging from 0.3% up to 0.7% in patients undergoing brain imaging.
CCA can be identified incidentally, or can be part of a developmental
disease. We performed a retrospective study of 551 patients, identified
non-syndromic (NS) CCA and syndromic (S) CCA, reviewing clinical features,
neuroradiological aspects, genetic etiology, and chromosomal
microarray (CMA) results. Syndromic CCA subjects were prevalent
(60%) and they showed the most severe clinical features. Cortical malformations
and cerebellar anomalies were 23% of cerebral malformation
associated to CCA (plus), 23 and 14% respectively in syndromic forms. A clinical and/or genetic diagnosis was obtained in 37% of
syndromic CCA including chromosomal rearrangements on high-resolution
karyotype (18%), microdeletion/microduplication syndromes
(31%) and monogenic diseases (51%). Non-syndromic CCA anomalies
had mildest clinical features, although intellectual disability was present
in 49% of cases and epilepsy in 13%. CMA diagnostic rate in our
cohort of patients ranged from 11 to 23% (NS to S). A high percentage
of patients (76% 422/551) remain without a diagnosis. Combined high
resolution CMA studies and next-generation sequencing (NGS) strategies
will increase the probability to identify new causative genes of
CCA and to redefine genotype–phenotype correlation