A Hybrid Approach for Fake News Detection in Twitter Based on User Features and Graph Embeddings
• Using node2vec to extract features from a twitter follower graph. In conjunction with user features provided by Twitter.
This hybrid approach considers both the characteristics of the user and his social graph. The results show that the approach consistently and significantly outperforms existent approaches limited to user features.
A Hybrid Approach for Fake News Detection in Twitter Based on User Features and Graph Embeddings
• Using node2vec to extract features from a twitter follower graph. In conjunction with user features provided by Twitter.
This hybrid approach considers both the characteristics of the user and his social graph. The results show that the approach consistently and significantly outperforms existent approaches limited to user features.
However, analysts are positive on the stock now. “We have seen a huge downside movement in the stock due to the central electricity regulatory commission’s (CERC) order that seems to be negative from 2014-15 onwards but we cannot take a linear negative view on the stock and further downside movement on the stock is unlikely. Currently stock is underpriced. Investors can bet on it for a longer horizon," said Vivek Gupta, director research at CapitalVia Global Research.
Dump Scam in Leaked Telegram Chat
A leaked Telegram discussion by 50 so-called crypto influencers has exposed the extraordinary steps they take in order to profit on the back off unsuspecting defi investors. According to a leaked screenshot of the chat, an elaborate plan to defraud defi investors using the worthless “$Few” tokens had been hatched. $Few tokens would be airdropped to some of the influencers who in turn promoted these to unsuspecting followers on Twitter.
