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Digital writing and handwriting are cognitively different activities; thus, it is interesting to verify what happens to the written language when it is conveyed through a keyboard and no longer a pen. On the Net, where the text is stripped of all non-strictly linguistic clues such as tone of voice, facial expression, proxemics, gestures, etc., written words assume a large part of the communicative burden: in other words, we are what we type. Despite this, it often seems that users are not fully aware of how much their linguistic choices affect the construction of their reputation on the net. In this contribution, we reflect on the current state of the typed Italian, trying to hypothesize some future strategies to improve the condition of millions of novice and unprepared users.

sociolinguistics --- computer-mediated-communication --- media literacy --- social networking

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Due miliardi e mezzo di utenti internet, oltre un miliardo di account Facebook, 550 milioni di profili Twitter. Che parlano, discutono, si confrontano sui temi più svariati. Un flusso in continuo divenire di informazioni che dà sostanza ogni giorno al mondo dei Big Data. Ma come si analizza concretamente il “sentiment” della Rete? Quali sono i pregi e i limiti dei diversi metodi esistenti? E a quali domande possiamo dare una risposta? Dopo aver presentato le varie tecniche di analisi testuale applicate ai social media, questo libro discute di come l’informazione presente in Rete sia in grado di aiutarci a meglio comprendere il presente e a fare previsioni sul futuro riguardo a una molteplicità di fenomeni sociali, che spaziano dall’andamento dei mercati finanziari, alla diffusione di malattie, alle rivolte e ai sommovimenti popolari fino ai risultati dei talent show, prima di concentrarsi su due casi specifici: l’andamento della felicità degli italiani giorno per giorno, e i risultati delle campagne elettorali in Francia, Stati Uniti e Italia tra il 2012 e il 2013.

Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Social media. --- Social networks. --- Computational linguistics. --- User-generated media --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Data processing --- Statistics. --- Data mining. --- Semantics. --- Social sciences. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Social Sciences, general. --- Data Mining and Knowledge Discovery. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Formal semantics --- Semasiology --- Semiology (Semantics) --- Comparative linguistics --- Information theory --- Lexicology --- Meaning (Psychology) --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Interpersonal relations --- Cliques (Sociology) --- Microblogs --- Communication --- User-generated content --- Statistics for Social Sciences, Humanities, Law. --- Statistics .