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Social media --- User-generated media --- Communication --- User-generated content

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Come il mondo ha cambiato i social media è il volume complessivo di comparazione dei risultati di un'ampia indagine etnografica, coordinata da Daniel Miller, dall'eloquente titolo "Why We Post". Nove ricercatori, incluso Miller, hanno trascorso 15 mesi sul campo, in diversi paesi del mondo (Italia del sud, Turchia sudorientale, due siti in Cina, area rurale e area industriale, Trinidad, Inghilterra, India del sud, Cile settentrionale e Brasile) a osservare e studiare, con un approccio etnografico, i modi in cui le persone usano i social media. È un fatto indiscutibile che i social sono entrati nella nostra vita con prepotenza, in modo capillare, per certi aspetti invasivo. Con un linguaggio fluido, talvolta anche colloquiale, il lettore è condotto all'interno di un ambito che gli sembra di conoscere, se non altro perché ne siamo tutti, più o meno, utenti, scoprendo però quanto di valori, di comportamenti culturalmente codificati, di 'polizia morale' ci sia dentro i social media. L'approccio qui presentato parte infatti da un'idea un po' diversa rispetto a quelle più diffuse, e avvalorata nel corso della ricerca: se è indubbio che i social media hanno cambiato il mondo, la questione più interessante riguarda però il modo in cui il mondo li ha cambiati.

Social media. --- User-generated media --- Communication --- User-generated content

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Doelstelling: Het doel van deze scriptie is te onderzoeken waar en hoe SMS-taal precies verschilt van standaardtaal. Middelen of methode: Om dit te verwezenlijken werd een corpus van 500 sms'en of 6686 tokens samengesteld. Dit corpus dient als materiaal om kwalitatieve en kwantitatieve berekeningen op uit te voeren. Aan de hand van een literatuurstudie van linguïstiek van SMS-taal en normalisatiesystemen werd de nodige achtergrondinformatie verzameld. Resultaten: Het onderzoek wijst uit dat 21,94% van de tokens afwijkt van standaardtaal. Voor bepaalde leeftijdsgroepen, namelijk voor 12 tot 15 jarigen stijgt dit percentage tot 60,10%. Het minste aantal normalisaties deed zich voor bij 11 - en 25 tot 30 jarigen. Opvallend is ook dat sms'en van mannen de meeste normalisaties moeten ondergaan: 28,71% ten opzichte van 17,08% voor de vrouwen.

Nederlands. --- Normalisatie. --- SMS. --- Standaardtaal. --- User generated content. --- Vervuilde tekst.

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This text considers the reasons behind the wild popularity of UContent (user-generated content) and makes strong arguments for cultivating it while serving as an overview, a status report, a primer, and a prognostication. In addition to the author's own UContent experiences, the book includes examples, insights, tips, and illustrations designed to help process, administer, and enjoy the UContent phenomenon.

User-generated content. --- Social media. --- Online social networks --- User-generated media --- Communication --- User-generated content --- User-created content --- Electronic information resources --- Social media --- Library applications.

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Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis.

Data mining. --- User-generated content --- Public opinion --- Computational linguistics. --- Research. --- Data processing.