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Content farm

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Since their 2011 appearance on the web, content farms have not yet received much explicit attention from the research community. The model of hiring inexpensive freelancers to produce content of marginal or questionable quality was first discussed as an alternative strategy to generating fake content
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Critics allege that content farms provide relatively low-quality content, and that they maximize profit by producing "just good enough" material rather than high-quality articles. Articles that are written by human authors (rather than by automated techniques) are often not written by a specialist in
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Information consumers end up with less relevant or valuable resources. Producers of relevant resources receive less cash as a reward (lower clickthrough rate) while producers of junk receive more cash. One way to describe this is pollution. Virtual junk pollutes the Web environment by adding noise.
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A social media content farm is a type of website or online platform that generates large volumes of content, often for the purpose of attracting traffic, generating ad revenue, or promoting products and services. These farms typically produce low-quality or formulaic content that is designed to go
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AI tools make it easy to fill up sites with massive amounts of content. When quality is not an issue, programs like ChatGPT can produce articles at an unprecedented rate. Google Ads provides 90 percent of the advertisements alongside this content, as large internet companies are willing to sustain
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Not only is the content produced by these systems "low-effort," but these avenues are also used to spread misinformation. For example, conspiracy theories regarding COVID-19 were peddled by content farms, encouraging engagement by feeding into the mass paranoia. The websites promoting these ideas
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Text articles in content farms have been found to contain identical passages across several media sources, leading to questions about the site's placing SEO goals over factual relevance. Proponents of the content farms claim that from a business perspective, traditional journalism is inefficient.
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significantly to "provide better rankings for high-quality sites—sites with original content and information such as research, in-depth reports, thoughtful analysis and so on." This was reported to be a reaction to content farms and an attempt to reduce their effectiveness in manipulating search
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Pay scales for content are low compared to traditional salaries received by writers. One company compensated writers at a rate of $ 3.50 per article. Such rates are substantially lower than a typical writer might receive working for mainstream online publications; however, some content farm
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While not explicitly motivated by content farms, there has been recent interest in the automatic categorisation of websites according to the quality of their content. A detailed study on the application of these methods to the identification of content farm pages is yet to be done.
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While some social media content farms can effectively draw attention and create a substantial following, they also contribute to the saturation of low-quality content on the internet, which can impact overall user experience and information reliability.
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contributors produce many articles per day and may earn enough for a living. It has been observed that content writers are mostly women with children, English majors, or journalism students seeking supplemental income while working at home.
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Everybody but the polluters pays a price for Web pollution: search engines work less well, users waste precious time and attention on junk sites, and honest publishers lose income. The polluter spoils the Web environment for everybody else.
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automatically; this was discussed together with an example of the infrastructure necessary to make content-farm-based sites profitable through online ads, along with techniques to detect social spam that promotes such content.
244:'s promotional videos for search published in the summer of 2010, the majority of the links available were reported to be produced at content farms. In late February 2011, Google announced it was adjusting 344:
User Engagement: Content farms may focus on creating engaging or shareable content to increase social media shares, likes, and overall user interactions, even if the content lacks depth or original value.
142:), that "by next summer, Demand will be publishing one million items a month, the equivalent of four English-language Wikipedias a year". Another site, Associated Content, was purchased in May 2010 by 350:
Clickbait and Sensationalism: Content often employs clickbait tactics—misleading or sensational headlines to entice users to click through to the website, regardless of the actual content quality.
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Low Quality or Repetitive Content: The quality of the content may be poor, often relying on aggregation or repurposing existing information without providing new insights or value.
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SEO Optimization: Content is often optimized for search engines to achieve high rankings and drive traffic to the site, using keywords, clickbait headlines, and other strategies.
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Content farms often commission their writers' work based on analysis of search engine queries that proponents represent as "true market demand", a feature that traditional
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High Volume of Content: They churn out a significant amount of articles, images, videos, or social media posts, often on trending topics or popular culture.
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the subjects reported. Some authors working for sites identified as content farms have admitted knowing little about the fields on which they report.
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and lower quality results of the search. The reduced quality and rapid creation of articles on such sites has drawn comparisons to the
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Monetization Focus: The primary goal is usually to monetize the content through advertising, affiliate marketing, or sponsored posts.
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viral or engage users quickly, often prioritizing quantity over quality. Key characteristics of social media content farms include:
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With a rise in these AI tools, AI-scribed content farms are on a rise which spews robot written content to generate ad money
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often also shroud the identities of those making editing decisions, making it even more difficult to identify an agenda.
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Some sites labeled as content farms may contain many articles and have been valued in the millions of dollars. In 2009,
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Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web (AIRWeb '09)
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Content farms are also criticised for being the source of fake ad impressions, a form of
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Please help update this article to reflect recent events or newly available information.
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has reported that his search engine makes efforts to block content from content farms.
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Search engines see content farms as a problem, as they tend to bring the user to less
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Dupre, Maggie Harrison. “People Are Spinning Up Low-Effort Content Farms Using AI.”
705:"A.I.-Generated Content Discovered on News Sites, Content Farms and Product Reviews" 1121: 972: 544: 522: 126: 1325: 1207: 505: 81: 1248: 399:
videos featuring famous cartoon/videogame characters that target young children
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Markines, Benjamin; Cattuto, Ciro; Menczer, Filippo, "Social Spam Detection"
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as part of a growing trend of AI-generated content farming on the platform.
1367: 1284: 1279: 1181: 621:"Yahoo Harvests "Content Farm" Associated Content for $ 90 Million, Report" 432: 411: 1258: 960:(Report). Centre for International Governance Innovation. pp. 16–17. 105: 1346: 1274: 674:"What It's Like To Write For Demand Media: Low Pay But Lots of Freedom" 442: 404: 382: 377: 253: 135: 113: 1377: 1289: 417: 387: 206: 185: 101: 85: 77: 958:
Content Farms and the Limitations of Copyright for Independent Media
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creators or uses automated tools to generate a large amount of web
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for $ 90 million. However, this new website, which was renamed
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Gabriel Weinberg, creator of privacy-focused search engine
139: 854: 1028:"Google makes major change in search ranking algorithms" 793:"USA Today turns to the content farm as the ship sinks" 503: 1059:"The Search Engine Backlash Against 'Content Mills'" 499: 497: 495: 1026: 130:magazine wrote that, according to founder and CEO 916:Marr, Bernard. “The Danger of Ai Content Farms.” 1395: 492: 987: 790: 581: 556: 29:Web site with a high volume of low-cost content 1161: 1018: 680:. December 17, 2009. p. 2. Archived from 471: 1147: 467: 465: 463: 259: 1114:"Joint WICOW/AIRWeb Workshop on Web Quality" 996:"Finding more high-quality sites in search" 932:"How to Build a Content Farm in 20 Minutes" 764: 557:Driscoll Miller, Janet (February 1, 2011). 298:. Unsourced material may be challenged and 1154: 1140: 460: 395:, a phenomenon referring to inappropriate 235: 84:which is specifically designed to satisfy 318:Learn how and when to remove this message 1076: 993: 871: 702: 641: 970: 872:MacManus, Richard (December 15, 2009). 838: 618: 14: 1396: 1039:from the original on February 27, 2011 1006:from the original on February 26, 2011 955: 817: 631:from the original on February 2, 2023. 157:Since the emergence and popularity of 1135: 1024: 874:"How Google Can Combat Content Farms" 749: 654:from the original on October 12, 2014 175:accounts were found to be generating 104:, as first exposed in the context of 1025:Guynn, Jessica (February 26, 2011). 983:from the original on April 13, 2021. 929: 844: 765:DiBenedetto, Chase (July 11, 2024). 703:Thompson, Stuart A. (May 19, 2023). 587: 296:adding citations to reliable sources 263: 31: 930:Buzz, Carles (September 25, 2015). 504:Markines, Benjamin; Cattuto, Ciro; 24: 119: 96:). Their main goal is to generate 25: 1430: 791:Patricio Robles (April 9, 2010). 588:Roth, Daniel (October 19, 2009). 971:Wauters, Robin (July 23, 2010). 472:Dorian Benkoil (July 26, 2010). 268: 36: 1106: 1051: 964: 949: 923: 910: 900:The End Of Hand Crafted Content 888: 865: 811: 784: 758: 750:Quach, Katyanna (May 2, 2023). 743: 474:"Don't Blame the Content Farms" 845:Hiar, Corbin (July 21, 2010). 818:Reinan, John (July 19, 2010). 795:. Econsultancy. Archived from 730: 696: 666: 642:Rossiter, Jay (July 2, 2014). 635: 619:Plesser, Andy (May 18, 2010). 612: 550: 13: 1: 453: 192: 165:this sort of business model. 994:Singhal, Amit; Cutts, Matt. 956:Radsch, Courtney C. (2023). 7: 565:. MediaPost. Archived from 371: 358: 209:industry and to pollution: 10: 1435: 1414:Search engine optimization 1244:Online identity management 1163:Search engine optimization 1084:"Discovery Challenge 2010" 822:. MinnPost. Archived from 438:Search engine optimization 260:Social media content farms 94:search engine optimization 76:is a company that employs 1360: 1334: 1303: 1267: 1239:Social media optimization 1226: 1195: 1177:Robots exclusion standard 1169: 150:, was shut down in 2014. 88:for maximal retrieval by 45:This article needs to be 183:technology, regarded by 1234:Search engine marketing 527:10.1145/1531914.1531924 521:, ACM, pp. 41–48, 510:"Social Spam Detection" 236:Search engine responses 1120:. 2011. Archived from 1090:. 2010. Archived from 907:vom 13. Dezember 2009. 644:"Furthering Our Focus" 448:User-generated content 222: 171:In 2024, a network of 1124:on February 14, 2020. 1118:dl.kuis.kyoto-u.ac.jp 1063:MIT Technology Review 476:. PBS. Archived from 211: 159:large language models 1000:Official Google Blog 684:on February 19, 2011 600:on February 23, 2011 423:Predatory publishing 292:improve this section 1373:Human search engine 1213:Display advertising 1170:Exclusion standards 428:Research paper mill 116:purportedly lacks. 100:through attracting 98:advertising revenue 1268:Search engine spam 1203:Online advertising 861:on March 30, 2017. 709:The New York Times 132:Richard Rosenblatt 1409:Online publishing 1404:Digital marketing 1391: 1390: 1033:Los Angeles Times 895:Michael Arrington 884:on July 28, 2010. 799:on April 13, 2010 536:978-1-60558-438-6 328: 327: 320: 249:result rankings. 246:search algorithms 177:conspiracy theory 66: 65: 16:(Redirected from 1426: 1227:Search marketing 1196:Marketing topics 1156: 1149: 1142: 1133: 1132: 1126: 1125: 1110: 1104: 1103: 1101: 1099: 1094:on April 9, 2011 1080: 1074: 1073: 1071: 1069: 1055: 1049: 1048: 1046: 1044: 1030: 1022: 1016: 1015: 1013: 1011: 991: 985: 984: 968: 962: 961: 953: 947: 946: 944: 942: 927: 921: 914: 908: 892: 886: 885: 880:. 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Index

Content farms
freelance
content
algorithms
search engines
search engine optimization
advertising revenue
page views
social spam
journalism
Wired
Richard Rosenblatt
Demand Media
eHow
Yahoo!
Yahoo! Voices
large language models
TikTok
conspiracy theory
text-to-speech
NewsGuard
relevant
fast food
ad fraud
Google
search algorithms
DuckDuckGo

cite
sources

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