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This book illustrates how social media platforms enable us to understand everyday politics and evaluates the extent to which they can foster accountability, transparency and responsiveness. The first part focuses on accountability and tests whether the offline behavior of politicians is consistent with their online declarations, showing that textual analysis of politicians’ messages is useful to explain phenomena such as endorsements, party splits and appointments to cabinet. The second part concerns responsiveness. By means of sentiment analysis, it investigates the shape of the interaction between citizens and politicians determining whether politicians’ behavior is influenced by the pressure exerted on social media both on policy and non-policy issues. Finally, the book evaluates whether a responsive behavior is successful in restoring online political trust, narrowing the gap between voters and political elites. The book will be of use to students, scholars and practitioners interested in party organization, intra-party politics, legislative politics, social media analysis and political communication, as well as politicians themselves.

Social psychology --- Politics --- Law --- Mass communications --- sociale media --- communicatie --- politiek --- recht --- leidinggeven

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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 .

Choose an application

• Reference Manager
• EndNote
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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.

Social sciences (general) --- Statistical science --- Information systems --- Lexicology. Semantics --- semantiek --- sociale media --- Facebook --- big data --- sociale wetenschappen --- statistiek --- database management --- data acquisition