Social cybersecurity: an emerging science
KM Carley - Computational and mathematical organization theory, 2020 - Springer
With the rise of online platforms where individuals could gather and spread information
came the rise of online cybercrimes aimed at taking advantage of not just single individuals …
came the rise of online cybercrimes aimed at taking advantage of not just single individuals …
Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations
High uptake of vaccinations is essential in fighting infectious diseases, including severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes the ongoing …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes the ongoing …
Hunting conspiracy theories during the COVID-19 pandemic
The fear of the unknown combined with the isolation generated by COVID-19 has created a
fertile environment for strong disinformation, otherwise known as conspiracy theories, to …
fertile environment for strong disinformation, otherwise known as conspiracy theories, to …
Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering
IJ Cruickshank, KM Carley - Applied Network Science, 2020 - Springer
The COVID-19 pandemic has produced a flurry of online activity on social media sites. As
such, analysis of social media data during the COVID-19 pandemic can produce unique …
such, analysis of social media data during the COVID-19 pandemic can produce unique …
[HTML][HTML] Content and dynamics of websites shared over vaccine-related tweets in COVID-19 conversations: Computational analysis
Background The onset of the COVID-19 pandemic and the consequent “infodemic”
increased concerns about Twitter's role in advancing antivaccination messages, even before …
increased concerns about Twitter's role in advancing antivaccination messages, even before …
Duped by bots: why some are better than others at detecting fake social media personas
Objective We examine individuals' ability to detect social bots among Twitter personas,
along with participant and persona features associated with that ability. Background Social …
along with participant and persona features associated with that ability. Background Social …
Improving Social Bot Detection Through Aid and Training
Objective We test the effects of three aids on individuals' ability to detect social bots among
Twitter personas: a bot indicator score, a training video, and a warning. Background …
Twitter personas: a bot indicator score, a training video, and a warning. Background …
[PDF][PDF] Multi-view Clustering of Social-based Data.
I Cruickshank - 2020 - reports-archive.adm.cs.cmu.edu
Real-world, social phenomena produce various types of data, like explicit networks or user-
emitted text. When different sets of data describe the same entities, the data is termed multi …
emitted text. When different sets of data describe the same entities, the data is termed multi …
Pretending positive, pushing false: Comparing captain marvel misinformation campaigns
M Babcock, R Villa-Cox, KM Carley - … , and Fake News in Social Media …, 2020 - Springer
It has become apparent that high-profile Twitter conversations are polluted by individuals
and organizations spreading misinformation on the social media site. In less directly political …
and organizations spreading misinformation on the social media site. In less directly political …
Clustering analysis of website usage on twitter during the covid-19 pandemic
IJ Cruickshank, KM Carley - … on Information Management and Big Data, 2020 - Springer
In this study we analyzed patterns of external website usage on Twitter during the COVID-19
pandemic. We used a multi-view clustering technique, which is able to incorporate multiple …
pandemic. We used a multi-view clustering technique, which is able to incorporate multiple …