Titlebook: Open Source Intelligence and Cyber Crime; Social Media Analyti Mohammad A. Tayebi,Uwe Gl?sser,David B. Skillicorn Book 2020 Springer Nature

獸群

Social Media for Mental Health: Data, Methods, and Findings, thoughts, ask personal questions, and seek peer-support, especially those with conditions that are highly stigmatized, without revealing personal identity. We study the state-of-the-art research methodologies and findings on mental health challenges like depression, anxiety, suicidal thoughts, from

Physiatrist

IRS

不出名

panorama

慷慨不好

Cognitively-Inspired Inference for Malware Task Identification,niques; and conditions with sparse training data. We find that our approach based on cognitive inference consistently out-performs the current state-of-the art software for malware task identification as well as standard machine learning approaches—often achieving an unbiased F1 score of over 0.9.

保守黨

You Are Known by Your Friends: Leveraging Network Metrics for Bot Detection in Twitter,odels. We will compare this model to the other models of the . toolbox as well as current state of the art models. In the evaluation, we will also explore and evaluate relevant training data. Finally, we will demonstrate the application of the . suite of tools in Twitter data collected around the Swedish National elections in 2018.

貿(mào)易

Twitter Bots and the Swedish Election,ies or retweets content repeatedly in a robot-like way to influence the interaction between a user and content or with other users..Our results show that bots were more likely to express support towards the immigration-critical party the Sweden Democrats, compared to genuine accounts.

garrulous

SHOCK

Tobias Gumbertmüssen durch eine entsprechende Organisation und durch Partizipation an allen Aspekten des politischen, wirtschaftlichen und sozialen Lebens, insbesondere in der Planung und Umsetzung der sie betreffenden Politiken, zur Selbstbestimmung bef?higt werden, so da? sie in der Lage sind, echte Entwicklung