Search engines use complex mathematical algorithms to interpret which websites a user seeks. In this diagram, if each bubble represents a website, programs sometimes called spiders examine which sites link to which other sites, with arrows representing these links. Websites getting more inbound links, or stronger links, are presumed to be more important and what the user is searching for. In this example, since website B is the recipient of numerous inbound links, it ranks more highly in a web search. And the links "carry through", such that website C, even though it only has one inbound link, has an inbound link from a highly popular site (B) while site E does not. Note: Percentages are rounded.
The Internet and social networking leaks are one of the issues facing traditional advertising. Video and print ads are often leaked to the world via the Internet earlier than they are scheduled to premiere. Social networking sites allow those leaks to go viral, and be seen by many users more quickly. The time difference is also a problem facing traditional advertisers. When social events occur and are broadcast on television, there is often a time delay between airings on the east coast and west coast of the United States. Social networking sites have become a hub of comment and interaction concerning the event. This allows individuals watching the event on the west coast (time-delayed) to know the outcome before it airs. The 2011 Grammy Awards highlighted this problem. Viewers on the west coast learned who won different awards based on comments made on social networking sites by individuals watching live on the east coast.[92] Since viewers knew who won already, many tuned out and ratings were lower. All the advertisement and promotion put into the event was lost because viewers didn't have a reason to watch.[according to whom?]
Early versions of search algorithms relied on webmaster-provided information such as the keyword meta tag or index files in engines like ALIWEB. Meta tags provide a guide to each page's content. Using metadata to index pages was found to be less than reliable, however, because the webmaster's choice of keywords in the meta tag could potentially be an inaccurate representation of the site's actual content. Inaccurate, incomplete, and inconsistent data in meta tags could and did cause pages to rank for irrelevant searches.[10][dubious – discuss] Web content providers also manipulated some attributes within the HTML source of a page in an attempt to rank well in search engines.[11] By 1997, search engine designers recognized that webmasters were making efforts to rank well in their search engine, and that some webmasters were even manipulating their rankings in search results by stuffing pages with excessive or irrelevant keywords. Early search engines, such as Altavista and Infoseek, adjusted their algorithms to prevent webmasters from manipulating rankings.[12]
Webmasters and content providers began optimizing websites for search engines in the mid-1990s, as the first search engines were cataloging the early Web. Initially, all webmasters only needed to submit the address of a page, or URL, to the various engines which would send a "spider" to "crawl" that page, extract links to other pages from it, and return information found on the page to be indexed.[5] The process involves a search engine spider downloading a page and storing it on the search engine's own server. A second program, known as an indexer, extracts information about the page, such as the words it contains, where they are located, and any weight for specific words, as well as all links the page contains. All of this information is then placed into a scheduler for crawling at a later date.
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