This alarming rate, backed by independent concurrent estimates, makes the development of adaptive spam detection techniques a very real and pressing need. Our own analysis of spam content on Arabic trending hashtags in Saudi Arabia results in an estimate of about three quarters of the total generated content. To date however, social spam in other languages has been largely ignored. English spam on online social networks has been heavily studied in the literature. The result is a ubiquitous spam presence that redefines the signal to noise ratio, and makes spam a de facto component of the online social platforms. With a large online population, a mounting political unrest, and an under-sized and unspecialized response effort, the current state of Arabic online social networks (OSNs) offers a perfect target for the spam industry, bringing both abuse and manipulation to the scene. Respond to spammers evading techniques, and use these features to build a new We also adapt the previously proposed features to
COMPRESSION LEVEL ECHOFON MANUAL
In order to get reliable ground-truth data, we proposeĪn updated manual classification algorithm that avoids the deficiencies of Due to the escalating manipulation thatĬharacterizes newer spamming accounts, simple manual labeling currently leads Twitter, and assess the performance of previous spam detection systems on our In this paper, we analyze the spam content of trending hashtags on Saudi This alarming rate makes theĭevelopment of adaptive spam detection techniques a very real and pressing Our own analysis of spam content onĪrabic trending hashtags in Saudi Arabia results in an estimate of about three Spamming community, automatic tweeting scripts, and the ability to massivelyĬreate Twitter accounts with a negligible cost, spam on Twitter is becoming Not easily recognizable by old detection systems. Generation of spammers on Twitter has evolved into online creatures that are Due to its prevalent existence, many works have tackled spam
Years as a ubiquitous, annoying, and sometimes threatening aspect of online In particular, spam has established itself over the recent Once an email problem, spam has nowadays branched into new territories withĭisruptive effects.
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