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Media Intelligence
Media intelligence uses data mining and data science to analyze public, social and editorial media content. It refers to marketing systems that synthesize billions of online conversations into relevant information. This allow organizations to measure and manage content performance, understand trends, and drive communications and business strategy. Media intelligence can include software as a service using big data terminology. This includes questions about messaging efficiency, share of voice, audience geographical distribution, message amplification, influencer strategy, journalist outreach, creative resonance, and competitor performance in all these areas. Media intelligence differs from business intelligence in that it uses and analyzes data outside company firewalls. Examples of that data are user-generated content on social media sites, blogs, comment fields, and wikis etc. It may also include other public data sources like press releases, news, blogs, legal filings, rev ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Science
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured and unstructured data, and apply knowledge from data across a broad range of application domains. Data science is related to data mining, machine learning, big data, computational statistics and analytics. Data science is a "concept to unify statistics, data analysis, informatics, and their related methods" in order to "understand and analyse actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. However, data science is different from computer science and information science. Turing Award winner Jim Gray imagined data science as a "fourth paradigm" of science ( empirical, theoretical, computational, and now data-driven) and asserted that "everything about sc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Natural Language Processing
Natural language processing (NLP) is an interdisciplinary subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation. History Natural language processing has its roots in the 1950s. Already in 1950, Alan Turing published an article titled "Computing Machinery and Intelligence" which proposed what is now called the Turing test as a criterion of intelligence, t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Social Marketing Intelligence
Social marketing intelligence is the method of extrapolating valuable information from social network interactions and data flows that can enable companies to launch new products and services into the market at greater speed and lower cost. This is an area of research however, companies using social marketing intelligence have achieved significant improvement in marketing campaigns. Through social marketing intelligence, companies can identify people that are the most influential within their communities. These are the most connected people within any given social network. These people, sometimes called the ''alpha users'' or ''hubs'' as in small-world network theory, have considerable influence over the spread of information within their social network. Alpha users Alpha users are key elements of any social networks, who manage the connectivity of the core members of the community. Similar to how viruses spread in nature, there is an initial starting point to communications in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Social Bot
A social bot, or also described as a social AI or social algorithm, is a software agent that communicates autonomously on social media. The messages (e.g. tweets) it distributes can be simple and operate in groups and various configurations with partial human control (hybrid) via algorithm. Social bots can also use artificial intelligence to express messages in more natural human dialogue. Uses * To influence peoples decisions, e.g.: advertise a product, support a political campaign, increase engagement statistics for social media pages, etc. * To provide low cost customer service agent to answer questions that their users might have. * To automatically answer commonly asked questions on Social media such as Discord. Lutz Finger identifies five immediate uses for social bots: *foster fame: having an arbitrary number of (unrevealed) bots as (fake) followers can help simulate real success. *Influence-for-hire: refers to the economy that has emerged around buying and selling inf ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Media Monitoring
Media monitoring is the activity of monitoring the output of the print, online and broadcast media. It is based on analyzing a diverse range of media platforms in order to identify trends that can be used for a variety of reasons such as political, commercial and scientific purposes. It can be conducted in a systematic way by comparing the content presented in the media with external sources, in an attempt of fact-checking, or in a less formal and time demanding manner by independent groups and media critics that aim to check the quality of what is available on the media, especially related to press freedom and focusing on the concept of responsibilizing the media organizations. In general, media monitoring focuses on developing insights, in various fields, of what is actually occurring while finding the balance to not overanalyze certain factors. In business In the commercial sphere, media monitoring is usually carried out in-house or by a media monitoring service company that can ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Marketing And Artificial Intelligence
The fields of marketing and artificial intelligence converge in systems which assist in areas such as market forecasting, and automation of processes and decision making, along with increased efficiency of tasks which would usually be performed by humans. The science behind these systems can be explained through neural networks and expert systems, computer programs that process input and provide valuable output for marketers. Artificial intelligence systems stemming from social computing technology can be applied to understand social networks on the Web. Data mining techniques can be used to analyze different types of social networks. This analysis helps a marketer to identify influential actors or nodes within networks, information which can then be applied to take a societal marketing approach. Artificial neural networks An artificial neural network is a form of computer program modeled on the brain and nervous system of humans. Neural networks are composed of a series of in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Influence-for-hire
Influence-for-hire or collective influence, refers to the economy that has emerged around buying and selling Social influence, influence on social media platforms. Overview Companies that engage in the influence-for-hire industry range from content farms to high end public relations agencies. Traditionally influence operations have largely been confined to public sector actors like intelligence agencies, in the influence-for-hire industry the groups conduction the operations are private with commerce being their primary consideration. However many of the clients in the influence-for-hire industry are countries or countries acting through proxies. They are often located in countries with less expensive digital labor. History In May 2021, Facebook took a Ukrainian influence-for-hire network offline. Facebook attributed the network to organizations and consultants linked to Ukrainian politicians including Andriy Derkach. During the COVID-19 pandemic COVID-19 misinformation by gove ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cultural Technology
Cultural technology () is a system used by South Korean talent agencies to promote K-pop culture throughout the world as part of the Korean Wave. The system was developed by Lee Soo-man, founder of talent agency and record company SM Entertainment. History Coinage During a speech at the Stanford Graduate School of Business in 2011, Lee said he coined the term "cultural technology" about fourteen years prior, when S.M. Entertainment decided to promote its K-pop artists to all of Asia. In the late 1990s, Lee and his colleagues created a manual on cultural technology, which specified the steps needed to popularize K-pop artists outside South Korea. "The manual, which all S.M. employees are instructed to learn, explains when to bring in foreign composers, producers, and choreographers; what chord progressions to use in what country; the precise color of eyeshadow a performer should wear in a particular country; the exact hand gestures he or she should make; and the camera angles ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Creator Economy
The Creator economy or also known as influencer economy, is a software-facilitated economy that allows creators and influencers to earn revenue from their creations. Examples of creator economy software platforms include YouTube, TikTok, Instagram, Facebook, Twitch, Spotify, Substack, OnlyFans, Tiki and Patreon. History In 1997, Stanford University's Paul Saffo suggested that the creator economy first came into being in 1997 as the "new economy". Early creators in that economy worked with animations and illustrations, but at the time there was no available marketplace infrastructure to enable them to generate revenue. The term "creator''"'' was coined by YouTube in 2011 to be used instead of "YouTube star", an expression that at the time could only apply to famous individuals on the platform. The term has since become omnipresent and is used to describe anyone creating any form of online content. The creator economy consists of approximately 50 million content creators, and there ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Ambient Awareness
Ambient awareness (AmA) is a term used by social scientists to describe a new form of peripheral social awareness. This awareness is propagated from relatively constant contact with one's friends and colleagues via social networking platforms on the Internet. Some examples of social networking websites are Facebook, Myspace, Twitter, Blogger, etc. The term essentially defines the sort of omnipresent knowledge one experiences by being a regular user of these media outlets that allow a constant connection with one's social circle. According to Clive Thompson of ''The New York Times'', ambient awareness is "''very much like being physically near someone and picking up on mood through the little things; body language, sighs, stray comments..."''Academic Andreas Kaplan defines ambient awareness as “awareness created through regular and constant reception, and/ or exchange of information fragments through social media”. Therefore, in effect two friends who regularly follow one anothe ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Semantic Analysis (linguistics)
In linguistics, semantic analysis is the process of relating syntactic structures, from the levels of phrases, clauses, sentences and paragraphs to the level of the writing as a whole, to their language-independent meanings. It also involves removing features specific to particular linguistic and cultural contexts, to the extent that such a project is possible. The elements of idiom and figurative speech, being cultural, are often also converted into relatively invariant meanings in semantic analysis. Semantics, although related to pragmatics, is distinct in that the former deals with word or sentence choice in any given context, while pragmatics considers the unique or particular meaning derived from context or tone. To reiterate in different terms, semantics is about universally coded meaning, and pragmatics, the meaning encoded in words that is then interpreted by an audience. Semantic analysis can begin with the relationship between individual words. This requires an under ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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