A systematic review of CALL in English as a second language: Focus on primary and secondary education

E Macaro, Z Handley, C Walter - Language Teaching, 2012 - cambridge.org
After explaining why consideration of the use of technology in second language (L2)
teaching in the primary and secondary sectors is necessary, this systematic review presents …

Vlogging: A survey of videoblogging technology on the web

W Gao, Y Tian, T Huang, Q Yang - Acm Computing Surveys (Csur), 2010 - dl.acm.org
In recent years, blogging has become an exploding passion among Internet communities.
By combining the grassroots blogging with the richness of expression available in video …

Malicious URL detection using machine learning: A survey

D Sahoo, C Liu, SCH Hoi - arXiv preprint arXiv:1701.07179, 2017 - arxiv.org
Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

URLNet: Learning a URL representation with deep learning for malicious URL detection

H Le, Q Pham, D Sahoo, SCH Hoi - arXiv preprint arXiv:1802.03162, 2018 - arxiv.org
Malicious URLs host unsolicited content and are used to perpetrate cybercrimes. It is
imperative to detect them in a timely manner. Traditionally, this is done through the usage of …

Beyond blacklists: learning to detect malicious web sites from suspicious URLs

J Ma, LK Saul, S Savage, GM Voelker - Proceedings of the 15th ACM …, 2009 - dl.acm.org
Malicious Web sites are a cornerstone of Internet criminal activities. As a result, there has
been broad interest in developing systems to prevent the end user from visiting such sites. In …

A method of automated nonparametric content analysis for social science

DJ Hopkins, G King - American Journal of Political Science, 2010 - Wiley Online Library
The increasing availability of digitized text presents enormous opportunities for social
scientists. Yet hand coding many blogs, speeches, government records, newspapers, or …

Spam detection in social media using convolutional and long short term memory neural network

G Jain, M Sharma, B Agarwal - Annals of Mathematics and Artificial …, 2019 - Springer
As the use of the Internet is increasing, people are connected virtually using social media
platforms such as text messages, Facebook, Twitter, etc. This has led to increase in the …

Identifying the influential bloggers in a community

N Agarwal, H Liu, L Tang, PS Yu - … conference on web search and data …, 2008 - dl.acm.org
Blogging becomes a popular way for a Web user to publish information on the Web.
Bloggers write blog posts, share their likes and dislikes, voice their opinions, provide …

Learning to detect malicious urls

J Ma, LK Saul, S Savage, GM Voelker - ACM Transactions on Intelligent …, 2011 - dl.acm.org
Malicious Web sites are a cornerstone of Internet criminal activities. The dangers of these
sites have created a demand for safeguards that protect end-users from visiting them. This …

Detecting fake websites: The contribution of statistical learning theory

A Abbasi, Z Zhang, D Zimbra, H Chen… - Mis Quarterly, 2010 - JSTOR
Fake websites have become increasingly pervasive, generating billions of dollars in
fraudulent revenue at the expense of unsuspecting Internet users. The design and …