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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

Abstract
Does the interaction with the opinions of 'friends' and 'followers' affect the behavior of politicians? So far, little attention has been devoted to the effect of social networking sites (SNS) on 'hard politics' choices. Focusing on two case studies related to Italian politics, namely the debate on the civil unions bill and the 'Fertility Day' crisis, in 2016, this paper tries to fill this gap assessing the influence of SNS on the behavior of politicians. For this purpose, supervised aggregated sentiment analysis and time series analysis are used to evaluate whether politicians surrender to the pressure put on them by their followers. The findings highlight some positive effects in terms of accountability/transparency, though in terms of responsiveness politics seems to continue as usual, and the road toward a full 'sentiment democracy' is still far ahead.

This paper analyzes how factional conflict and intra-party organization affect a party's likelihood of being involved in a ruling coalition. We focus on Italian parties (between 1946 and 2013) estimating their internal heterogeneity through quantitative text analysis of policy documents presented by factions during party congresses. The impact of inter-factional conflict has been investigated in interaction with intra-party rules showing that when the party leader is autonomous and can rely on powerful whipping resources to impose discipline, the party will credibly sticks to the coalition agreement, thereby reducing the negative effect of factional heterogeneity in coalition bargaining.

Scholars have emphasized the need to deepen investigation of intraparty politics. Recent studies look at social media as a source of information on the ideological preferences of politicians and political actors. In this regard, the present article tests whether social media messages published by politicians are a suitable source of data. It applies quantitative text analysis to the public statements released by politicians on social media in order to measure intraparty heterogeneity and assess its effects. Three different applications to the Italian case are discussed. Indeed, the content of messages posted online is informative on the ideological preferences of politicians and proved to be useful to understand intraparty dynamics. Intraparty divergences measured through social media analysis explain: (a) a politician's choice to endorse one or another party leader, (b) a politician's likelihood to switch off from his or her parliamentary party group; and (c) a politician's probability to be appointed as a minister.

Motivated by the literature on 'competing principals', this article studies the effect of interactive social networking sites on the behavior of politicians. For this purpose, 12,455 comments posted on the Facebook walls of 423 Italian MPs have been analyzed to assess whether Facebook played a role in the selection of the Italian Head of State in 2013, enhancing responsiveness. The statistical analysis reveals that the pressure exerted through social media did not affect MPs' propensity to express public dissent over the party line, which is instead affected by more traditional 'principals' and factors: seniority, primary elections, and factional membership.

The impact of corruption charges on the electoral performance of parties is conditioned by specific institutional factors. This article shows the extent to which the effects of political corruption depend on the control that party leaders exercise over the ballot. It is argued that voters might abstain or support other lists if they cannot select individual candidates to revitalize the reputation of the political party. Employing data on judicial investigations in Italy from 1983 to 2013, we provide evidence of the role of electoral rules and intra-party xcandidate selection in shaping the relationship between corruption and voters' behaviour. Parties implicated in corruption or related crimes experience a loss of votes when they compete under a closed list formula or when the candidate selection process is strongly centralized.

Going beyond source and content pluralism, we propose a two-dimensional audience-based measure of perceived pluralism by exploiting the practice of "social TV". For this purpose, 135,228 tweets related to 30 episodes of prime time political talk shows broadcast in Italy in 2014 have been analyzed through supervised sentiment analysis. The findings suggest that the two main TV networks compete by addressing generalist audiences. The public television offers a plural set of talk shows but ignores the anti-political audience. The ideological background of the anchorman shapes the audience's perception, while the gender of the guests does not seem to matter.

Recent studies investigated the effect of e-campaigning on the electoral performance. However, little attention has been paid to the content of e-campaigning. Given that political parties broadcast minute-by-minute the campaign messages on social media, this comprehensive and unmediated information can be useful to evaluate the impact of different electoral strategies. Accordingly, this article examines the electoral campaign for the 2013 Italian general election to assess the effectiveness of positive and negative campaigning messages, measured through content analysis of information published on the official Twitter accounts of Italian parties. We evaluate their impact on the share of unsolicited voting intentions expressed on Twitter, measured through an innovative technique of sentiment analysis. Our results show that negative campaign has positive effects and its impact is stronger when the attacker is meanwhile under attack. Conversely, we only find a circumstantial effect of positive campaign related to clientelistic and distributive appeals.

The article explores the relationship between the incentives of parties to campaign on valence issues and the ideological proximity between one party and its competitors. Building from the existing literature, we provide a novel theoretical model that investigates this relationship in a two-dimensional multiparty system. Our theoretical argument is then tested focusing on the 2014 European electoral campaign in the five largest European countries, through an analysis of the messages posted by parties in their official Twitter accounts. Our results highlight an inverse relationship between a party's distance from its neighbors and its likelihood to emphasize valence issues. However, as suggested in our theoretical framework, this effect is statistically significant only with respect to valence positive campaigning. Our findings have implications for the literature on valence competition, electoral campaigns, and social media.

Cover -- Title -- Copyright -- Contents -- List of figures -- List of tables -- Introduction -- 1 Social media electoral forecasts: an overview -- 2 From noise to signal in sentiment and opinion analysis -- 3 Nowcasting and forecasting electoral campaigns: evidence from France, the United States and Italy -- 4 Leaders, promises and negative campaigning: digging into an electoral campaign through social media -- 5 Social media and electoral forecasts: sources of bias and meta-analysis -- 6 Conclusion: "To predict or not to predict?" Future avenues of social media research within and beyond electoral forecasts -- Postscript -- Index