This paper focuses on the content features of intentional deceptive information in the news
(ie, fake news) and on social media. Based on an extensive review of relevant literature (ie …

Online disinformation is considered a major challenge for modern democracies. It is widely
understood as misleading content produced to generate profits, pursue political goals, or …

Technology is breaking politics–what can be done about it? Artificially intelligent “bot”
accounts attack politicians and public figures on social media. Conspiracy theorists publish …

Social bots–partially or fully automated accounts on social media platforms–have not only
been widely discussed, but have also entered political, media and research agendas …

Social media is an important source of news and information in the United States. But during
the 2016 US presidential election, social media platforms emerged as a breeding ground for …

To date, there is little research to measure the scale of misinformation and understand how it
spreads on largely unmoderated platforms. Our analysis of 200,000 Telegram posts …

We study\emph {Byzantine collaborative learning}, where $ n $ nodes seek to collectively
learn from each others' local data. The data distribution may vary from one node to another …

Abstract Online Social Networks (OSNs) are a popular platform for communication and
collaboration. Spammers are highly active in OSNs. Uncovering spammers has become one …

To study the resilience of distributed learning, the “Byzantine" literature considers a strong
threat model where workers can report arbitrary gradients to the parameter server. Whereas …

Fake news and cyber-propaganda were ubiquitous in the mainstream and social media
during the 30 July 2018 Zimbabwe election. Both the ruling Zimbabwe African National …