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abusive userscalgaryherald
•US Politics
US Politics
58% Informative
Samara Centre for Democracy’s SAMbot initiative uses machine learning tools to monitor abusive sentiment during Canadian elections.
In the 18 days leading up to Alberta 's last general election, SAMbot tracked 188 official party and candidate accounts on X, the social media platform formerly known as Twitter , recording 12,502 abusive tweets and 15,376 candidate mentions containing abusive content.
Twelve per cent of these abusive tweets came from just 50 accounts.
VR Score
72
Informative language
79
Neutral language
26
Article tone
informal
Language
English
Language complexity
68
Offensive language
likely offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
short-lived
External references
no external sources
Source diversity
no sources
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