The Elgar Encyclopedia of Technology and Politics is a landmark resource that offers a comprehensive overview of the ways in which technological development is reshaping politics. Providing an unparalleled starting point for research, it addresses all the major contemporary aspects of the field. Divided into five thematic parts, the Encyclopedia investigates the existing academic literature on the main subfields in this area, before introducing innovative digital research methods. It then highlights the pivotal political and non-political actors leading the process of technological innovation, clarifies key concepts and terms in the field, and finally covers emerging and debated topics. This Encyclopedia will be particularly invaluable for early career researchers and advanced students in politics looking for a concise entry point into any of the various ways in which technology shapes the field. It will also be useful for practitioners to familiarise themselves with the analytical opportunities provided by computational social and political sciences. Key Features: Entries written by over 90 scholars from 33 different countries on 5 continents Accessible starting point for research into the key literature, topics and debates in the field Introduces important new digital methods such as machine learning, text analysis and network analysis Defines and clarifies the meaning of contested terms such as disinformation, echo chambers and fake news

The book provides a comprehensive view on the internal life of parties and investigates the dynamics of intra-party politics in different party environments to explain in which circumstances the party leader is more or less bound by the wills of party factions. Analyzing almost 500 intra-party documents from Italy, Germany and France, it presents a theory of intra-party politics that illuminates internal decision-making processes and sheds light on the outcomes of factional conflicts on the allocation of payoffs within the party, on the risk of a party split and on the survival of the party leader. Using text analysis, the results show that consensual dynamics can allow to preserve party unity and that directly elected leaders can exploit their larger autonomy either to reward followers or to prevent splits. This text will be of key interest to scholars and students of Party Politics, Political Institutions, European Politics and more broadly to Comparative Politics, Political Theory and Text Analysis.

The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing often brief, unverified comments while the unequal age, gender, social and racial representation among social media users can produce inaccurate forecasts of final polls. Reviewing the different techniques employed using social media to nowcast and forecast elections, this book assesses its achievements and limitations while presenting a new technique of "sentiment analysis" to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media-based electoral forecasts prove most accurate while new case studies from France, the United States and Italy demonstrate how much more accurate "sentiment analysis" can prove.

The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing often brief, unverified comments while the unequal age, gender, social and racial representation among social media users can produce inaccurate forecasts of final polls. Reviewing the different techniques employed using social media to nowcast and forecast elections, this book assesses its achievements and limitations while presenting a new technique of "sentiment analysis" to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media-based electoral forecasts prove most accurate while new case studies from France, the United States and Italy demonstrate how much more accurate "sentiment analysis" can prove.

The book provides a comprehensive view on the internal life of parties and investigates the dynamics of intra-party politics in different party environments to explain in which circumstances the party leader is more or less bound by the wills of party factions. Analyzing almost 500 intra-party documents from Italy, Germany and France, it presents a theory of intra-party politics that illuminates internal decision-making processes and sheds light on the outcomes of factional conflicts on the allocation of payoffs within the party, on the risk of a party split and on the survival of the party leader. Using text analysis, the results show that consensual dynamics can allow to preserve party unity and that directly elected leaders can exploit their larger autonomy either to reward followers or to prevent splits. This text will be of key interest to scholars and students of Party Politics, Political Institutions, European Politics and more broadly to Comparative Politics, Political Theory and Text Analysis.

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.

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.

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 piu svariati. Un flusso in continuo divenire di informazioni che da 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 molteplicita 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 felicita degli italiani giorno per giorno, e i risultati delle campagne elettorali in Francia, Stati Uniti e Italia tra il 2012 e il 2013.