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Analysis and detection of low quality information in social networks
2014
2014 IEEE 30th International Conference on Data Engineering Workshops
With social networks like Facebook, Twitter and Google+ attracting audiences of millions of users, they have been an important communication platform in daily life. This in turn attracts malicious users to the social networks as well, causing an increase in the incidence of low quality information. Low quality information such as spam and rumors is a nuisance to people and hinders them from consuming information that is pertinent to them or that they are looking for. Although individual social
doi:10.1109/icdew.2014.6818354
dblp:conf/icde/Wang14
fatcat:4gjrbwesubguvetpz25cdnpmmy