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Content Farm
A content farm or content mill is an organization focused on generating a large amount of web content, often specifically designed to satisfy algorithms for maximal retrieval by search engines, a practice known as search engine optimization (SEO). Such organizations often employ freelance creators or use artificial intelligence (AI) tools, with the goal of generating large amounts of content in the shortest time and for the lowest cost. The primary goal is to attract as many page views as possible, and thus generate more advertising revenue. The emergence of these media outlets is often tied to the demand for "true market demand" content based on search engine queries. Content farms have been criticized for their reliance on sensationalism, misinformation, and a new reliance on AI tools, all of which have degraded the accuracy of information in circulation. History Historically, content farms have outsourced the writing of their articles to people in poorer countries or po ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
EHow
eHow is an online how-to guide with many articles and 170,000 videos offering step-by-step instructions. eHow articles and videos are created by freelancers and cover a wide variety of topics organized into a hierarchy of categories. Any eHow user can leave comments or responses, but only contracted writers can contribute changes to articles. The writers work on a freelance basis, being paid by article. eHow is frequently called a content farm. History eHow was founded by Courtney Rosen in 1999. On 8 February 2001 it filed for Chapter 7 bankruptcy. At that time it had $1.16 million in assets and $7.2 million in debts and had used up $23.5 million in venture capital funding in a year and a half that came from companies including Hummer Winblad Venture Partners ($1.3 million) and Dominion Ventures ($982,035). eHow's major debts included $598,460 owed to Vignette Corp., $140,024 to Engage Media in San Francisco and $237,492 to LifeMinders. The Silicon Valley Bank seized $18 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Content (media)
Means of communication or media are used by people to communicate and exchange information with each other as an Communication source, information sender and a Receiver (information theory), receiver. General information Many different materials are used in communication. Maps, for example, save tedious explanations on how to get to a destination. A means of communication is therefore a means to an end to make communication between people easier, more understandable and, above all, clearer. In everyday language, the term ''means of communication'' is often equated with the ''medium''. However, the term "medium" is used in media studies to refer to a large number of concepts, some of which do not correspond to everyday usage. Means of communication are used for communication between sender and recipient and thus for the transmission of information. Elements of communication include a communication-triggering event, sender and recipient, a ''means of communication'', a ''path of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Demand Media
Leaf Group, formerly Demand Media Inc., is an American content company that operates online brands, including eHow, livestrong.com, and marketplace brands Saatchi Art and Society6. The company provides social media platforms for large company websites and distributes content with social media tools to web outlets. It is commonly known for being a content farm. Demand Media was created in 2006 by a former private equity investor, Shawn Colo, and the former chairman of MySpace, Richard Rosenblatt. The company employs an algorithm that identifies topics with high advertising potential based on search engine query data and bids on advertising auctions. These topics are typically in the advice and how-to fields. It then commissions freelancers to produce corresponding text or video content. The content is posted on a variety of sites, including YouTube and the company's own sites, such as eHow and livestrong.com. The company was acquired by Graham Holdings in June 2021 for $3 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Veles
Veles may refer to: *Veles (god), a Slavic god *Veles Municipality, in North Macedonia *Veles, North Macedonia, a city, seat of the municipality, formerly called Titov Veles *Veles Bastion, Stribog Mountains on Brabant Island, Antarctica *Veles, singular of velites, a class of infantry in the early Roman Republic *''Veles'', a genus of birds, only containing the brown nightjar *the proper name of the exoplanet HD 75898 b See also * Velež (mountain), south-central Herzegovina, named after the deity *Volos (other) Volos is a port city in Thessaly, Greece. Volos may also refer to: * Gulf of Volos *Veles (god) Veles, also known as Volos, is a major List of Slavic deities, god of earth, waters, livestock, and the underworld in Slavic paganism. His myt ... * Velestovo (other) {{disambig, geo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Large Language Model
A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pretrained transformers (GPTs), which are largely used in generative chatbots such as ChatGPT or Gemini. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inherent in human language corpora, but they also inherit inaccuracies and biases present in the data they are trained in. History Before the emergence of transformer-based models in 2017, some language models were considered large relative to the computational and data constraints of their time. In the early 1990s, IBM's statistical models pioneered word alignment techniques for machine translation, laying the groundwork for corpus-based language modeling. A sm ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Model Collapse
Model collapse is a phenomenon where machine learning models gradually degrade due to errors coming from uncurated training on the outputs of another model, such as prior versions of itself. Such outputs are known as synthetic data. It is a possible mechanism for mode collapse. Shumailov et al. coined the term and described two specific stages to the degradation: ''early model collapse'' and ''late model collapse'': * In early model collapse, the model begins losing information about the tails of the distribution – mostly affecting minority data. Later work highlighted that early model collapse is hard to notice, since overall performance may appear to improve, while the model loses performance on minority data. * In late model collapse, the model loses a significant proportion of its performance, confusing concepts and losing most of its variance. Mechanism Using synthetic data as training data can lead to issues with the quality and reliability of the trained model. Model co ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Monetization
Monetization ( also spelled monetisation in the UK) is, broadly speaking, the process of converting something into money. The term has a broad range of uses. In banking, the term refers to the process of converting or establishing something into legal tender. While it usually refers to the coining of currency or the printing of banknotes by central banks, it may also take the form of a promissory currency. The term "monetization" may also be used informally to refer to exchanging possessions for cash or cash equivalents, including selling a security interest, charging fees for something that used to be free, or attempting to make money on goods or services that were previously unprofitable or had been considered to have the potential to earn profits. And data monetization refers to a spectrum of ways information assets can be converted into economic value. Another meaning of "monetization" denotes the process by which the U.S. Treasury accounts for the face value of outstanding c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Chicago Sun-Times
The ''Chicago Sun-Times'' is a daily nonprofit newspaper published in Chicago, Illinois, United States. Since 2022, it is the flagship paper of Chicago Public Media, and has long held the second largest circulation among Chicago newspapers, after the ''Chicago Tribune''. The ''Sun-Times'' resulted from the 1948 merger of the Marshall Field III owned ''Chicago Sun'' and the '' Chicago Daily Times'' newspapers. Journalists at the paper have received eight Pulitzer Prizes, mostly in the 1970s; one recipient was the first film critic to receive the prize, Roger Ebert (1975), who worked at the paper from 1967 until his death in 2013. Long owned by the Marshall Field family, since the 1980s ownership of the paper has changed hands several times, including twice in the late 2010s. History The ''Chicago Sun-Times'' has claimed to be the oldest continuously published daily newspaper in the city. That claim is based on the 1844 founding of the '' Chicago Daily Journal'', which w ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hallucination (artificial Intelligence)
In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, confabulation, or delusion) is a response generated by AI that contains false or misleading information presented as fact. This term draws a loose analogy with human psychology, where hallucination typically involves false ''percept#Process and terminology, percepts''. However, there is a key difference: AI hallucination is associated with erroneously constructed responses (confabulation), rather than perceptual experiences. For example, a chatbot powered by large language models (LLMs), like ChatGPT, may embed plausible-sounding random falsehoods within its generated content. Researchers have recognized this issue, and by 2023, analysts estimated that chatbots hallucinate as much as 27% of the time, with factual errors present in 46% of generated texts. Detecting and mitigating these hallucinations pose significant challenges for practical deployment and reliabi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
NewsGuard
NewsGuard is a rating system for news and information websites. It is accessible via browser extensions and mobile apps. It rates publishers based on whether they have transparent finances or publish many errors, among other criteria. NewsGuard Technologies Inc., the company behind the tool, also provides services such as misinformation tracking and brand safety for advertisers, search engines, social media platforms, cybersecurity firms, and government agencies. History NewsGuard Technologies was founded in 2018 by Steven Brill and L. Gordon Crovitz, who serve as co-CEOs. Crovitz was a former publisher of ''The Wall Street Journal''. In 2018, Joyce Purnick, former bureau chief and editor at ''The New York Times'', and Amy Westfeldt, an editor with the Associated Press for 25 years, joined Newsguard. In April 2019, the co-founders of NewsGuard announced that they had entered talks with British internet service providers to incorporate their credibility scoring system into c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ChatGPT
ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and released on November 30, 2022. It uses large language models (LLMs) such as GPT-4o as well as other Multimodal learning, multimodal models to create human-like responses in text, speech, and images. It has access to features such as searching the web, using apps, and running programs. It is credited with accelerating the AI boom, an ongoing period of rapid investment in and public attention to the field of artificial intelligence (AI). Some observers have raised concern about the potential of ChatGPT and similar programs to displace human intelligence, enable plagiarism, or fuel misinformation. ChatGPT is built on OpenAI's proprietary series of generative pre-trained transformer (GPT) models and is Fine-tuning (machine learning), fine-tuned for conversational applications using a combination of supervised learning and reinforcement learning from human feedback. Successive user AI prompt, prompts an ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Large Language Model
A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pretrained transformers (GPTs), which are largely used in generative chatbots such as ChatGPT or Gemini. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inherent in human language corpora, but they also inherit inaccuracies and biases present in the data they are trained in. History Before the emergence of transformer-based models in 2017, some language models were considered large relative to the computational and data constraints of their time. In the early 1990s, IBM's statistical models pioneered word alignment techniques for machine translation, laying the groundwork for corpus-based language modeling. A sm ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
