Messaging spam
Messaging spam, sometimes called SPIM,
Instant messaging applications
Instant messaging systems, such as
Countermeasures
- Many users choose to receive IMs only from people already on their contact list.
- In corporate settings, spam over IM is blocked by IM spam blockersSymantec.
- IM providers like IM administratorswho can then take action.
Pornographic IM spambots
Spam-bots often sign on to popular messaging services like Kik[7] or Skype to spread pornographic images. Often if the user responds they receive a URL inviting them to a private livestream that will ask them to enter credit card details for "age verification".
These bots target random usernames; this often results in minors receiving unsolicited pornographic images.
On Windows NT-based systems
In 2002, a number of spammers began abusing the
Messenger Service spammers frequently send messages to vulnerable Windows machines with a URL. The message promises the user to eradicate spam messages sent via the Messenger Service. The URL leads to a website where, for a fee, users are told how to disable the Messenger service. Though the Messenger is easily disabled for free by the user, this works because it creates a perceived need and then offers an immediate solution.[citation needed]
In opinion-based recommender systems
In an opinion based recommender system, an important concern is how to evaluate the user-generated reviews on the items. One of the purpose of this evaluation is to identify malicious or spam reviews. Poorly written reviews are considered helpless to the recommender system. However, even if a review is well generated, they can still be harmful to the recommender system by their biased prejudice to form an actual advertisement or slander towards a target item.
Current approach of spam detection methods includes analyzing the spam text and identifying the spam reviewers by their reviews and activities. For the first kind, a machine learning application on review text has been developed.[9] For the second kind, researchers use network motif analysis technique to identify spam reviewers by their recurring reviewing activity.[10]
References
- ^ "CNET: Spim, splog on the rise". News.com. Retrieved 2013-07-07.
- ^ "Spam being rapidly outpaced by spim". New Scientist. 2004-03-26. Retrieved 2013-07-07.
- ^ Spamfo: SPIM, your new spam Archived October 21, 2007, at the Wayback Machine
- ^ Agarwal, Shubham. "Scientists found more than 1,000 AI spam bots trying to scam people and steal their social media profiles — and regulators can't keep up". Business Insider. Retrieved 2023-10-17.
- ^ Kurt Knutsson, CyberGuy Report (2023-09-22). "How to protect yourself from social media scammers". Fox News. Retrieved 2023-10-17.
- ISSN 0013-0389. Retrieved 2023-10-17.
- ^ "Porn Spam Gets a Kik Out of You". Tom's Guide. 2014-06-05. Retrieved 2017-08-18.
- ^ "Messenger Service window that contains an Internet advertisement appears". Microsoft. Retrieved 2023-12-01.
- ^ Li, Fangtao, et al. "Learning to identify review spam." IJCAI Proceedings-International Joint Conference on Artificial Intelligence. Vol. 22. No. 3. 2011.
- ^ O'Callaghan, Derek, et al. "Network analysis of recurring YouTube spam campaigns." arXiv preprint arXiv:1201.3783 (2012).