Spam Filtering in Twitter Using Sender-Receiver Relationship-Reference-Cited by-同舟云学术

Spam Filtering in Twitter Using Sender-Receiver Relationship

Published:2011 Issue: Volume: Page:301-317
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Song Jonghyuk,Lee Sangho,Kim Jong

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-23644-0_16

Reference33 articles.

1. Alexa: Top sites in united states (2011), http://www.alexa.com/topsites/countries/US

2. NielsenWire: Twitter’s tweet smell of success (2009), http://blog.nielsen.com/nielsenwire/online_mobile/twitters-tweet-smell-of-success/

3. TwitterBlog: #numbers (2011), http://blog.twitter.com/2011/03/numbers.html

4. Webb, S., Caverlee, J., Pu, C.: Social honeypots: Making friends with a spammer near you. In: Proceedigns of the Fifth Conference on Email and Anti-Spam, CEAS (2008)

5. Lee, K., Caverlee, J., Webb, S.: Uncovering social spammers: Social honeypots + machine learning. In: Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retreival. ACM, New York (2010)

Cited by 128 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quality Enhancement for Uninvited Content of Social Media Using Support Vector Machine and Alexnet;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21

2. Detection of Unwanted Information on Quora Using Support Vector Machine and AlexNet;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

3. Entropy-Based Automation Detection on Twitter Using DNA Profiling;SN Computer Science;2023-11-04

4. Analysis of Bio-Inspired approaches and Social Media Analytics in Twitter datasets for Misinformation Detection;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19

5. Learning textual features for Twitter spam detection: A systematic literature review;Expert Systems with Applications;2023-10