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.
China’s stock markets are some of the largest in the world, with total market capitalization reaching RMB 79 trillion (US$12.2 trillion) in 2020. China’s stock markets are seen as a crucial tool for driving economic growth, in particular for financing the country’s rapidly growing high-tech sectors.Although traditionally closed off to overseas investors, China’s financial markets have gradually been loosening restrictions over the past couple of decades. At the same time, reforms have sought to make it easier for Chinese companies to list on onshore stock exchanges, and new programs have been launched in attempts to lure some of China’s most coveted overseas-listed companies back to the country.
Telegram announces Search Filters
With the help of the Search Filters option, users can now filter search results by type. They can do that by using the new tabs: Media, Links, Files and others. Searches can be done based on the particular time period like by typing in the date or even “Yesterday”. If users type in the name of a person, group, channel or bot, an extra filter will be applied to the searches.
