Spam messages are capable of carrying links to disconnected portions of the Internet. This paper looks the web as it is visible through URLs embedded in spam. We perform a study of spam using three sources: a spam honeypot, a group of high-spam student inboxes and a newsgroup devoted to posting spam messages. Our results show that 96% of spam links point to sites not reacheable by crawlers and ...

Twitter is one of the most visited sites in these days. Twitter spam, however, is constantly increasing. Since Twitter spam is different from traditional spam such as email and blog spam, conventional spam filtering methods are inappropriate to detect it. Thus, many researchers have proposed schemes to detect spammers in Twitter. These schemes are based on the features of spam accounts such as ...

In the dialogue between science and the spiritual, prior metaphysical commitments can radically alter the ground of discussion. I survey the effect of certain metaphysical commitments on the dialogue between science and religion, noting that commitments which appear to favor some sort of dualism, entailing a strict separation between the realm of science and the realm of the spiritual, seem to ...

Today the major problem that the people are facing is spam mails or e-mail spam. In recent years there are so many schemes are developed to detect the spam emails. Here the primary idea of the similarity matching scheme for spam detection is to maintain a known spam database, formed by user’s feedback, to block the subsequent near-duplicate spam’s. We propose a novel e-mail abstraction scheme, ...

Mobile or SMS spam is a real and growing problem primarily due to the availability of very cheap bulk pre-pay SMS packages and the fact that SMS engenders higher response rates as it is a trusted and personal service. SMS spam filtering is a relatively new task which inherits many issues and solutions from email spam filtering. However it poses its own specific challenges. This paper motivates ...

We present a classification model for semi-structured documents based on statistical language modelling theory which outperforms extant approaches to spam filtering on the LingSpam email corpus [1]. We also introduce two variants of a novel discounting technique for higher-order N -gram language models developed in the light of the spam filtering problem.

This paper shows that government anti-smoking campaign can benefit the government in the political bargaining with the tobacco industry by reducing the latter's alternative welfare. Although the equilibrium regulation on the tobacco industry increases as a result of government anti-smoking campaign, the political contribution from the tobacco industry will not necessarily go down. Anti-smoking ...

We describe our participation in the Opinion Retrieval task at TREC 2006. Our approach to identifying opinions in blog post consisted of scoring the posts separately on various aspects associated with an expression of opinion about a topic, including shallow sentiment analysis, spam detection, and link-based authority estimation. The separate approaches were combined into a single ranking, yiel...

As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, is studied as an example of spam bots detection in online social networking sites. A machine learning approach is proposed to distinguish the spam bots from normal ones. To facilitate the spam bots detection, three gra...

Internet based donations to political candidates are now a vital part of any successful campaign. Tens of millions of dollars are raised each year, primarily in sub one-hundred dollar amounts from individuals around the country. Politicians have exempted their own campaign donation solicitation emails from federal anti-spam legislation, and their campaigns encourage risky behavior by teaching u...