19,111 research outputs found
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media
Social media is often viewed as a sensor into various societal events such as
disease outbreaks, protests, and elections. We describe the use of social media
as a crowdsourced sensor to gain insight into ongoing cyber-attacks. Our
approach detects a broad range of cyber-attacks (e.g., distributed denial of
service (DDOS) attacks, data breaches, and account hijacking) in an
unsupervised manner using just a limited fixed set of seed event triggers. A
new query expansion strategy based on convolutional kernels and dependency
parses helps model reporting structure and aids in identifying key event
characteristics. Through a large-scale analysis over Twitter, we demonstrate
that our approach consistently identifies and encodes events, outperforming
existing methods.Comment: 13 single column pages, 5 figures, submitted to KDD 201
Spartan Daily September 12, 2012
Volume 139, Issue 7https://scholarworks.sjsu.edu/spartandaily/1323/thumbnail.jp
A Comparative Study of Online Disinformation and Offline Protests
In early 2021 the United States Capitol in Washington was stormed during a
riot and violent attack. Although the storming was merely an instance in a long
sequence of events, it provided a testimony for many observers who had claimed
that online actions, including the propagation of disinformation, have offline
consequences. Soon after, a number of papers have been published about the
relation between online disinformation and offline violence, among other
related relations. Hitherto, the effects upon political protests have been
unexplored. This paper thus evaluates such effects with a time series
cross-sectional sample of 125 countries in a period between 2000 and 2019. The
results are mixed. Based on Bayesian multi-level regression modeling, (i) there
indeed is an effect between online disinformation and offline protests, but the
effect is partially meditated by political polarization. The results are
clearer in a sample of countries belonging to the European Economic Area. With
this sample, (ii) offline protest counts increase from online disinformation
disseminated by domestic governments, political parties, and politicians as
well as by foreign governments. Furthermore, (iii) Internet shutdowns and
governmental monitoring of social media tend to decrease the counts. With these
results, the paper contributes to the blossoming disinformation research by
modeling the impact of disinformation upon offline phenomenon. The contribution
is important due to the various policy measures planned or already enacted.Comment: Submitte
The Digital Evolution of Occupy Wall Street
We examine the temporal evolution of digital communication activity relating
to the American anti-capitalist movement Occupy Wall Street. Using a
high-volume sample from the microblogging site Twitter, we investigate changes
in Occupy participant engagement, interests, and social connectivity over a
fifteen month period starting three months prior to the movement's first
protest action. The results of this analysis indicate that, on Twitter, the
Occupy movement tended to elicit participation from a set of highly
interconnected users with pre-existing interests in domestic politics and
foreign social movements. These users, while highly vocal in the months
immediately following the birth of the movement, appear to have lost interest
in Occupy related communication over the remainder of the study period.Comment: Open access available at:
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.006467
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