The An automatic real – time email spammer detection and fake data identification on social media
Main Article Content
Abstract
Social networking sites have a tremendous influence on the lives of millions of people every
day. A large number of popular social networking sites have been hijacked by spammers,
who are utilising them to transmit a wide range of harmful and meaningless content. allowing
a large number of spam messages to be delivered. Fake Twitter accounts send out spammy
tweets to real people in order to promote products or websites. Users and resources are both
harmed by this practise. An rising number of people are utilising phoney IDs to send out
dangerous drugs, making it easier for them to distribute them. When it comes to online social
networks, Twitter studies are becoming more prominent (OSNs). Twitter spammers are
examined in this study. User attributes (e.g. content characteristics, graph features), structural
aspects (such as the graph's structure), as well as temporal characteristics, may be split down
into four groups (such as how long the tweets are active). This webpage is a helpful resource
for researchers who are looking for the most current information on Twitter spam detection.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
