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Countering social media cybercrime using deep learning: Instagram fake accounts detection. (doi.org)

submitted 2 months ago* (last edited 2 months ago) by [email protected] to c/technology

3 comments fedilink hide all child comments

It achieved a detection accuracy of 97.42% and 94.21% on two publicly available Instagram datasets, with F-measure scores of 92.17% and 89.55%, respectively. Further experiments on the Twitter dataset reveal the effectiveness of the proposed framework by achieving an impressive accuracy rate of 99.42%.

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[–] glimse 2 points 2 months ago

I'm not saying it's incorrect but a least two of these logos are wrong and reduces my trust in the reporting

[–] [email protected] 0 points 2 months ago* (last edited 2 months ago) (1 children)

Fake accounts tend to alter the concepts of popularity and influence on the Instagram media platform and significantly impact the economy, politics, and society, which is considered cybercrime.

Holy clickbait. I thought they would be talking about actual crimes related to fake accounts.

Making fake accounts is not considered a cybercrime by reasonable humans or even by the injustice system. At worst it's a TOS violation...

And even if it is somehow a "crime", nobody cares. That's a waste of policing resources.

[–] justdoitlater 1 points 2 months ago

Totally disagree: fake accounts can have a huge impact in swaying online discourse and setting mindsets and trends. There is hard evidence that some state actors invest large amount of resources on this (Russia, China, Israel, USA). They threaten democracy and banning them should be a priority.