Spamdexing (also known as search engine spam, search engine poisoning, black-hat search engine optimization, search spam or web spam)[1] is the deliberate manipulation of search engine indexes. It involves a number of methods, such as link building and repeating unrelated phrases, to manipulate the relevance or prominence of resources indexed in a manner inconsistent with the purpose of the indexing system.[2][3]

Spamdexing could be considered to be a part of search engine optimization,[4] although there are many SEO methods that improve the quality and appearance of the content of web sites and serve content useful to many users.[5]

Overview

Search engines use a variety of algorithms to determine relevancy ranking. Some of these include determining whether the search term appears in the body text or URL of a web page. Many search engines check for instances of spamdexing and will remove suspect pages from their indexes. Also, search-engine operators can quickly block the results listing from entire websites that use spamdexing, perhaps in response to user complaints of false matches. The rise of spamdexing in the mid-1990s made the leading search engines of the time less useful. Using unethical methods to make websites rank higher in search engine results than they otherwise would is commonly referred to in the SEO (search engine optimization) industry as "black-hat SEO".[6] These methods are more focused on breaking the search-engine-promotion rules and guidelines. In addition to this, the perpetrators run the risk of their websites being severely penalized by the Google Panda and Google Penguin search-results ranking algorithms.[7]

Common spamdexing techniques can be classified into two broad classes: content spam[5] (term spam) and link spam.[3]

History

The earliest known reference[2] to the term spamdexing is by Eric Convey in his article "Porn sneaks way back on Web", The Boston Herald, May 22, 1996, where he said:

The problem arises when site operators load their Web pages with hundreds of extraneous terms so search engines will list them among legitimate addresses. The process is called "spamdexing," a combination of spamming—the Internet term for sending users unsolicited information—and "indexing."[2]

Content spam

These techniques involve altering the logical view that a search engine has over the page's contents. They all aim at variants of the vector space model for information retrieval on text collections.

Keyword stuffing

Keyword stuffing involves the calculated placement of keywords within a page to raise the keyword count, variety, and density of the page. This is useful to make a page appear to be relevant for a web crawler in a way that makes it more likely to be found. Example: A promoter of a Ponzi scheme owns a site advertising a scam and wants to attract people to it. The scammer places hidden text appropriate for a fan page of a popular music group on the page, hoping that the page will be listed as a fan site and receive many visits from music lovers. Older versions of indexing programs simply counted how often a keyword appeared, and used that to determine relevance levels. Most modern search engines have the ability to analyze a page for keyword stuffing and determine whether the frequency is consistent with other sites created specifically to attract search engine traffic. Also, large webpages are truncated, so that massive dictionary lists cannot be indexed on a single webpage.

Hidden or invisible text

Unrelated hidden text is disguised by making it the same color as the background, using a tiny font size, or hiding it within HTML code such as "no frame" sections, alt attributes, zero-sized DIVs, and "no script" sections. People manually screening red-flagged websites for a search-engine company might temporarily or permanently block an entire website for having invisible text on some of its pages. However, hidden text is not always spamdexing: it can also be used to enhance accessibility.[8]

Meta-tag stuffing

This involves repeating keywords in the meta tags, and using meta keywords that are unrelated to the site's content. This tactic has been ineffective. Google declared that it doesn't use the keywords meta tag in its online search ranking in September 2009.[9]

Doorway pages

"Gateway" or doorway pages are low-quality web pages created with very little content, which are instead stuffed with very similar keywords and phrases. They are designed to rank highly within the search results, but serve no purpose to visitors looking for information. A doorway page will generally have "click here to enter" on the page; autoforwarding can also be used for this purpose. In 2006, Google ousted vehicle manufacturer BMW for using "doorway pages" to the company's German site, BMW.de.[10]

Scraper sites

Scraper sites are created using various programs designed to "scrape" search-engine results pages or other sources of content and create "content" for a website. The specific presentation of content on these sites is unique, but is merely an amalgamation of content taken from other sources, often without permission. Such websites are generally full of advertising (such as pay-per-click ads), or they redirect the user to other sites. It is even feasible for scraper sites to outrank original websites for their own information and organization names.

Article spinning

Article spinning involves rewriting existing articles, as opposed to merely scraping content from other sites, to avoid penalties imposed by search engines for duplicate content. This process is undertaken by hired writers or automated using a thesaurus database or a neural network.

Machine translation

Similarly to article spinning, some sites use machine translation to render their content in several languages, with no human editing, resulting in unintelligible texts that nonetheless continue to be indexed by search engines, thereby attracting traffic.

Link spam is defined as links between pages that are present for reasons other than merit.[11] Link spam takes advantage of link-based ranking algorithms, which gives websites higher rankings the more other highly ranked websites link to it. These techniques also aim at influencing other link-based ranking techniques such as the HITS algorithm.

Link farms are tightly-knit networks of websites that link to each other for the sole purpose of exploiting the search engine ranking algorithms. These are also known facetiously as mutual admiration societies.[12] Use of links farms has greatly reduced with the launch of Google's first Panda Update in February 2011, which introduced significant improvements in its spam-detection algorithm.

Private blog networks

Blog networks (PBNs) are a group of authoritative websites used as a source of contextual links that point to the owner's main website to achieve higher search engine ranking. Owners of PBN websites use expired domains or auction domains that have backlinks from high-authority websites. Google targeted and penalized PBN users on several occasions with several massive deindexing campaigns since 2014.[13]

Putting hyperlinks where visitors will not see them is used to increase link popularity. Highlighted link text can help rank a webpage higher for matching that phrase.

Sybil attack

A Sybil attack is the forging of multiple identities for malicious intent, named after the famous dissociative identity disorder patient and the book about her that shares her name, "Sybil".[14][15] A spammer may create multiple web sites at different domain names that all link to each other, such as fake blogs (known as spam blogs).

Spam blogs

Spam blogs are blogs created solely for commercial promotion and the passage of link authority to target sites. Often these "splogs" are designed in a misleading manner that will give the effect of a legitimate website but upon close inspection will often be written using spinning software or be very poorly written with barely readable content. They are similar in nature to link farms.[16][17]

Guest blog spam

Guest blog spam is the process of placing guest blogs on websites for the sole purpose of gaining a link to another website or websites. Unfortunately, these are often confused with legitimate forms of guest blogging with other motives than placing links. This technique was made famous by Matt Cutts, who publicly declared "war" against this form of link spam.[18]

Buying expired domains

Some link spammers utilize expired domain crawler software or monitor DNS records for domains that will expire soon, then buy them when they expire and replace the pages with links to their pages. However, it is possible but not confirmed that Google resets the link data on expired domains. To maintain all previous Google ranking data for the domain, it is advisable that a buyer grab the domain before it is "dropped".

Some of these techniques may be applied for creating a Google bomb—that is, to cooperate with other users to boost the ranking of a particular page for a particular query.

Using world-writable pages

Web sites that can be edited by users can be used by spamdexers to insert links to spam sites if the appropriate anti-spam measures are not taken.

Automated spambots can rapidly make the user-editable portion of a site unusable. Programmers have developed a variety of automated spam prevention techniques to block or at least slow down spambots.

Spam in blogs

Spam in blogs is the placing or solicitation of links randomly on other sites, placing a desired keyword into the hyperlinked text of the inbound link. Guest books, forums, blogs, and any site that accepts visitors' comments are particular targets and are often victims of drive-by spamming where automated software creates nonsense posts with links that are usually irrelevant and unwanted.

Comment spam

Comment spam is a form of link spam that has arisen in web pages that allow dynamic user editing such as wikis, blogs, and guestbooks. It can be problematic because agents can be written that automatically randomly select a user edited web page, such as a Wikipedia article, and add spamming links.[19]

Wiki spam

Wiki spam is when a spammer uses the open editability of wiki systems to place links from the wiki site to the spam site.

Referrer log spamming

Referrer spam takes place when a spam perpetrator or facilitator accesses a web page (the referee), by following a link from another web page (the referrer), so that the referee is given the address of the referrer by the person's Internet browser. Some websites have a referrer log which shows which pages link to that site. By having a robot randomly access many sites enough times, with a message or specific address given as the referrer, that message or Internet address then appears in the referrer log of those sites that have referrer logs. Since some Web search engines base the importance of sites on the number of different sites linking to them, referrer-log spam may increase the search engine rankings of the spammer's sites. Also, site administrators who notice the referrer log entries in their logs may follow the link back to the spammer's referrer page.

Countermeasures

Because of the large amount of spam posted to user-editable webpages, Google proposed a "nofollow" tag that could be embedded with links. A link-based search engine, such as Google's PageRank system, will not use the link to increase the score of the linked website if the link carries a nofollow tag. This ensures that spamming links to user-editable websites will not raise the sites ranking with search engines. Nofollow is used by several major websites, including Wordpress, Blogger and Wikipedia.

Other types

Mirror websites

A mirror site is the hosting of multiple websites with conceptually similar content but using different URLs. Some search engines give a higher rank to results where the keyword searched for appears in the URL.

URL redirection

URL redirection is the taking of the user to another page without his or her intervention, e.g., using META refresh tags, Flash, JavaScript, Java or Server side redirects. However, 301 Redirect, or permanent redirect, is not considered as a malicious behavior.

Cloaking

Cloaking refers to any of several means to serve a page to the search-engine spider that is different from that seen by human users. It can be an attempt to mislead search engines regarding the content on a particular web site. Cloaking, however, can also be used to ethically increase accessibility of a site to users with disabilities or provide human users with content that search engines aren't able to process or parse. It is also used to deliver content based on a user's location; Google itself uses IP delivery, a form of cloaking, to deliver results. Another form of cloaking is code swapping, i.e., optimizing a page for top ranking and then swapping another page in its place once a top ranking is achieved. Google refers to these type of redirects as Sneaky Redirects.[20]

Countermeasures

Page omission by search engine

Spamdexed pages are sometimes eliminated from search results by the search engine.

Page omission by user

Users can employ search operators for filtering. For Google, a keyword preceded by "-" (minus) will omit sites that contains the keyword in their pages or in the URL of the pages from search result. As an example, the search "-<unwanted site>" will eliminate sites that contains word "<unwanted site>" in their pages and the pages whose URL contains "<unwanted site>".

Users could also use the Google Chrome extension "Personal Blocklist (by Google)", launched by Google in 2011 as part of countermeasures against content farming.[21] Via the extension, users could block a specific page, or set of pages from appearing in their search results. As of 2021, the original extension appears to be removed, although similar-functioning extensions may be used.

Possible solutions to overcome search-redirection poisoning redirecting to illegal internet pharmacies include notification of operators of vulnerable legitimate domains. Further, manual evaluation of SERPs, previously published link-based and content-based algorithms as well as tailor-made automatic detection and classification engines can be used as benchmarks in the effective identification of pharma scam campaigns.[22]

See also

References

  1. ↑ SearchEngineLand, Danny Sullivan's video explanation of Search Engine Spam, October 2008 Archived 2008-12-17 at the Wayback Machine "Google Search Central". 2023-02-23. . Retrieved 2023-5-16.
  2. 1 2 3 "Word Spy - spamdexing" (definition), March 2003, webpage:WordSpy-spamdexing Archived 2014-07-18 at the Wayback Machine.
  3. 1 2 Gyöngyi, Zoltán; Garcia-Molina, Hector (2005), "Web spam taxonomy" (PDF), Proceedings of the First International Workshop on Adversarial Information Retrieval on the Web (AIRWeb), 2005 in The 14th International World Wide Web Conference (WWW 2005) May 10, (Tue)-14 (Sat), 2005, Nippon Convention Center (Makuhari Messe), Chiba, Japan., New York, NY: ACM Press, ISBN 1-59593-046-9, archived (PDF) from the original on 2020-02-15, retrieved 2007-10-05
  4. ↑ Zuze, Herbert; Weideman, Melius (2013-04-12). "Keyword stuffing and the big three search engines". Online Information Review. 37 (2): 268–286. doi:10.1108/OIR-11-2011-0193. ISSN 1468-4527.
  5. 1 2 Ntoulas, Alexandros; Manasse, Mark; Najork, Marc; Fetterly, Dennis (2006), "Detecting Spam Web Pages through Content Analysis", The 15th International World Wide Web Conference (WWW 2006) May 23–26, 2006, Edinburgh, Scotland., New York, NY: ACM Press, ISBN 1-59593-323-9
  6. ↑ "SEO basics: what is black hat SEO?". IONOS Digitalguide. Retrieved 2022-08-22.
  7. ↑ Smarty, Ann (2008-12-17). "What Is BlackHat SEO? 5 Definitions". Search Engine Journal. Archived from the original on 2012-06-21. Retrieved 2012-07-05.
  8. ↑ Montti, Roger (2020-10-03). "Everything You Need to Know About Hidden Text & SEO". Search Engine Journal. Archived from the original on 2021-11-22. Retrieved 2021-11-22.
  9. ↑ "Google does not use the keywords meta tag in web ranking". Google for Developers. Google. Retrieved 21 September 2009.
  10. ↑ Segal, David (2011-02-13). "The Dirty Little Secrets of Search". The NY Times. Archived from the original on 2012-07-23. Retrieved 2012-07-03.
  11. ↑ Davison, Brian (2000), "Recognizing Nepotistic Links on the Web" (PDF), AAAI-2000 workshop on Artificial Intelligence for Web Search, Boston: AAAI Press, pp. 23–28, archived (PDF) from the original on 2007-04-18, retrieved 2007-10-23
  12. ↑ "Search Engines:Technology, Society, and Business - Marti Hearst, Aug 29, 2005" (PDF). berkeley.edu. Archived (PDF) from the original on July 8, 2007. Retrieved August 1, 2007.
  13. ↑ "Google Targets Sites Using Private Blog Networks With Manual Action Ranking Penalties". Search Engine Land. 2014-09-23. Archived from the original on 2016-11-22. Retrieved 2016-12-12.
  14. ↑ Schreiber, Flora Rheta (1973). Sybil. Chicago: Regnery. ISBN 0-8092-0001-5. OCLC 570440.
  15. ↑ Koegel Buford, John F. (2009). "14". P2P networking and applications. Hong Heather Yu, Eng Keong Lua. Amsterdam: Elsevier/Morgan Kaufmann. ISBN 978-0-12-374214-8. OCLC 318353755.
  16. ↑ Finin, Tim; Joshi, Anupam; Kolari, Pranam; Java, Akshay; Kale, Anubhav; Karandikar, Amit (2008-09-06). "The Information Ecology of Social Media and Online Communities". AI Magazine. 29 (3): 77. doi:10.1609/aimag.v29i3.2158. ISSN 0738-4602.
  17. ↑ Bevans, Brandon (2016). Categorizing Blog Spam (Thesis). Robert E. Kennedy Library, Cal Poly. doi:10.15368/theses.2016.91.
  18. ↑ "The decay and fall of guest blogging for SEO". mattcutts.com. 20 January 2014. Archived from the original on 3 February 2015. Retrieved 11 January 2015.
  19. ↑ Mishne, Gilad; David Carmel; Ronny Lempel (2005). "Blocking Blog Spam with Language Model Disagreement" (PDF). Proceedings of the First International Workshop on Adversarial Information Retrieval on the Web. Archived (PDF) from the original on 2011-07-21. Retrieved 2007-10-24.
  20. ↑ "Sneaky redirects - Search Console Help". support.google.com. Archived from the original on 2015-05-18. Retrieved 2015-05-14.
  21. ↑ "New: Block Sites From Google Results Using Chrome's "Personal Blocklist" - Search Engine Land". searchengineland.com. 14 February 2011. Archived from the original on 6 October 2017. Retrieved 6 October 2017.
  22. ↑ Fittler, András; Paczolai, Péter; Ashraf, Amir Reza; Pourhashemi, Amir; Iványi, Péter (2022-11-08). "Prevalence of Poisoned Google Search Results of Erectile Dysfunction Medications Redirecting to Illegal Internet Pharmacies: Data Analysis Study". Journal of Medical Internet Research. 24 (11): e38957. doi:10.2196/38957. PMC 9682446. PMID 36346655.
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