DAPP analyzes British elections in post in the Financial Times

Everything before the election seemed to be pointing to a Labour lead. Even pollsters got it wrong. But a network analysis of the Twitter conversations about the general election highlights just how much hype there was around Labour in the run-up to the big day. Marco Ruediger and this colleagues at the department of public policy analysis at the Fundação Getulio Vargas in Rio de Janeiro analysed and visualised millions of tweets during the campaign.

Mainstream media behavior analysis on Twitter:a case study on UK general election

With the development of social media tools such as Facebook and Twitter, mainstream media organizations including newspapers and TV media have played an active role in engaging with their audience and strengthening their influence on the recently emerged platforms. In this paper, we analyze the behavior of mainstream media on Twitter and study how they exert their influence to shape public opinion during the UK's 2010 General Election. We first propose an empirical measure to quantify mainstream media bias based on sentiment analysis and show that it correlates better with the actual political bias in the UK media than the pure quantitative measures based on media coverage of various political parties. We then compare the information diffusion patterns from different categories of sources. We found that while mainstream media is good at seeding prominent information cascades, its role in shaping public opinion is being challenged by journalists since tweets from them are more likely to be retweeted and they spread faster and have longer lifespan compared to tweets from mainstream media. Moreover, the political bias of the journalists is a good indicator of the actual election results. Copyright 2013 ACM.

Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign

The General Election for the 56th United Kingdom Parliament was held on 7 May 2015. Tweets related to UK politics, not only those with the specific hashtag ”#GE2015”, have been collected in the period between March 1 and May 31, 2015. The resulting dataset contains over 28 million tweets for a total of 118 GB in uncompressed format or 15 GB in compressed format. This study describes the method that was used to collect the tweets and presents some analysis, including a political sentiment index, and outlines interesting research directions on Big Social Data based on Twitter microblogging.

Análise das mensagens postadas por Marina Silva e pelo Partido Verde no twitter nas eleições de 2010

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Presencia en Twitter de los candidatos a las elecciones madrileñas de 2015

Durante los últimos años ha aumentado la presencia de personas pertenecientes al mundo de la política en la red debido a la proliferación de las redes sociales, siendo Twitter la que mayor repercusión mediática tiene en este ámbito. El estudio del comportamiento de los políticos en Twitter y de la acogida que tienen entre los ciudadanos proporciona información muy valiosa a la hora de analizar las campañas electorales. De esta forma, se puede estudiar la repercusión real que tienen sus mensajes en los resultados electorales, así como distinguir aquellos comportamientos que tienen una mayor aceptación por parte de la la ciudadaná. Gracias a los avances desarrollados en el campo de la minería de textos, se poseen las herramientas necesarias para analizar un gran volumen de textos y extraer de ellos información de utilidad. Este proyecto tiene como finalidad recopilar una muestra significativa de mensajes de Twitter pertenecientes a los candidatos de los principales partidos políticos que se presentan a las elecciones autonómicas de Madrid en 2015. Estos mensajes, junto con las respuestas de otros usuarios, se han analizado usando algoritmos de aprendizaje automático y aplicando las técnicas de minería de textos más oportunas. Los resultados obtenidos para cada político se han examinado en profundidad y se han presentado mediante tablas y gráficas para facilitar su comprensión.---ABSTRACT---During the past few years the presence on the Internet of people related with politics has increased, due to the proliferation of social networks. Among all existing social networks, Twitter is the one which has the greatest media impact in this field. Therefore, an analysis of the behaviour of politicians in this social network, along with the response from the citizens, gives us very valuable information when analysing electoral campaigns. This way it is possible to know their messages impact in the election results. Moreover, it can be inferred which behaviours have better acceptance among the citizenship. Thanks to the advances achieved in the text mining field, its tools can be used to analyse a great amount of texts and extract from them useful information. The present project aims to collect a significant sample of Twitter messages from the candidates of the principal political parties for the 2015 autonomic elections in Madrid. These messages, as well as the answers received by the other users, have been analysed using machine learning algorithms and applying the most suitable data mining techniques. The results obtained for each politician have been examined in depth and have been presented using tables and graphs to make its understanding easier.

Turkey votes: Part I - The storm before the election. EPC Commentary, 26 March 2014

At an election rally on 20 March 2014, Turkish Prime Minister, Recep Tayyip Erdoğan, declared he wanted to “root out Twitter, no matter what the international community thought”. A few hours later Twitter was shut down. The decision backfired. Turkey’s some 12 million Twitter users immediately found ways to circumnavigate the ban; it highlighted the increasingly authoritarian trend of Erdoğan; and it brought immediate condemnation from numerous foreign leaders. The move has been viewed by many Turks as part of an operation to cover up a corruption probe that has consumed Turkey since 17 December, before key local elections on 30 March. The elections, which will be followed by Presidential election in August and political ones expected in 2015, have become a referendum on Erdoğan’s popularity, and are set to shape Turkey’s political landscape. A lot is at stake as a big win for the ruling Justice and Development Party (AKP) may not only be used by Erdoğan to justify his response to the corruption scandal but also risks consolidating his increasingly authoritarian style of governance.

AGENDA- SETTING NO TWITTER: A CAMPANHA ELEITORAL NO MUNICÍPIO DE SÃO PAULO EM 2012

O objetivo desse trabalho é identificar uma hipótese analisada há 40 anos em uma nova forma de comunicação. A proposta é buscar a comprovação do agenda-setting, ou agendamento, no Twitter durante a eleição para a Prefeitura de São Paulo no ano de 2012. Para isso, recorremos a três portais de notícias que nos serviram como laboratório de fontes , que nos pautavam na busca pela repercussão dessas notícias na Internet. A partir da definição de alguns termos que acompanharam os três principais candidatos à prefeitura de SP, partimos para uma procura por esses termos no Twitter, através da ferramenta The Archivist . Os termos foram divididos em positivos , negativos e neutros , para identificarmos qual o tipo de conteúdo era mais repercutido. Os resultados da pesquisa identificaram uma maior repercussão de termos que representavam atributos negativos dos candidatos, analisando o agendamento dos portais de notícias como uma forma de reforço desses atributos negativos, comprovando a agenda da contrapropaganda política no Twitter.

Marketing político e mídias sociais: as estratégias utilizadas no facebook e twitter de Cássio Cunha Lima PSDB/PB, nas eleições de 2014

This dissertation aims to analyze and understand the process and practices of political marketing strategies applied to social media facebook and twitter Cássio Cunha Lima - PSDB candidate for governor of Paraíba, in the 2014 elections The work is divided into three parts . The first two chapters, both of theoretical nature, underlie the discussion about the use of the Internet as a campaign space and political marketing campaign as well as the different communication strategies and electoral marketing already presented in the literature. Following, is dedicated to a topic for the presentation of the methodology and subsequently makes the discussion of empirical data analysis. Finally, we present the conclusions. The analysis takes as its starting point the models Figueiredo et al. (1998) and Albuquerque (1999) to observe the traditional strategies and suggests the inclusion of typically recorded on the Internet strategies. The methodology used for the analysis was the qualitative and quantitative content from variables that we list different campaign strategies. In order to achieve the purpose of this research, we conducted a case study as an analytical object online campaign Cássio Cunha Lima. The case study took place from the construction of a candidate's biographical and political profile, presented and discussed in the text. This research also made use of virtual ethnography. Therefore, were monitored social media facebook and twitter that political, with the help of image capture program - Greenshot by creating pre-defined categories of analysis, for example, calendar, prestige and support, negative campaign , engagement, among others. The period chosen for monitoring the candidate's official profiles was from 24 August to 28 October 2014, because it holds the pre, during and post-election where there was greater candidate drive level and his team marketing in social media selected for analysis. The results indicate that mobilization strategy (online and offline), merged with the promotion schedule, it is predominant in the social media Cassio. They also indicate that they do not show the failure of the campaign of the candidate in 2014.

Programas de tertulia política en Twitter: un modelo neurocomunicativo de análisis del discurso

En este trabajo aplicamos a la red social Twitter un modelo de análisis del discurso político y mediático desarrollado en publicaciones previas, que permite hacer compatible el estudio de los datos discursivos con propuestas explicativas surgidas a propósito de la comunicación política (neurocomunicación) y de la comunicación digital (la red como quinto estado, convergencia, inteligencia colectiva). Asumimos que hay categorías del encuadre discursivo (frame) que pueden ser tratadas como indicadores de habilidades cognitivas y comunicativas. Analizamos estas categorías agrupándolas en tres dimensiones fundamentales: la intencional (ilocutividad del tuit, encuadre interpretativo de las etiquetas), referencial (temas, protagonistas), e interactiva (alineamiento estructural, predictibilidad; marcas de intertextualidad y dialogismo; afiliación partidista). El corpus consta de 4116 tuits: 3000 tuits pertenecientes a los programas Al Rojo Vivo (La Sexta: A3 Media), Las Mañanas Cuatro (Cuatro: Mediaset) y Los Desayunos de TVE (RTVE), 1116 tuits de seguidores de los programas, que corresponden a 45 tuits de cada programa. Los resultados confirman que el modelo permite establecer diferentes perfiles de subjetividad política en las cuentas de Twitter.

Opportunistic and partisan election cycles in Brazil: new evidence at the municipal level

This article tests the hypothesis of opportunistic and partisan cycle models using a new large data set of Brazilian municipalities over the 1989-2005 period. The results show an increase in total and current expenditures and a decrease in municipal investments, local tax revenues, and budget surplus in election years. They also show that partisan ideology exerts a relative influence on the performance of the local public accounts. These results confirm that both opportunistic and partisan cycles have occurred in the management of the budgets of Brazilian municipalities after the end of the military government.

Neurodynamics of an election

Variables influencing decision-making in real settings, as in the case of voting decisions, are uncontrollable and in many times even unknown to the experimenter. In this case, the experimenter has to study the intention to decide (vote) as close as possible in time to the moment of the real decision (election day). Here, we investigated the brain activity associated with the voting intention declared 1 week before the election day of the Brazilian Firearms Control Referendum about prohibiting the commerce of firearms. Two alliances arose in the Congress to run the campaigns for YES (for the prohibition of firearm commerce) and NO (against the prohibition of firearm commerce) voting. Time constraints imposed by the necessity of studying a reasonable number (here, 32) of voters during a very short time (5 days) made the EEG the tool of choice for recording the brain activity associated with voting decision. Recent fMRI and EEG studies have shown decision-making as a process due to the enrollment of defined neuronal networks. In this work, a special EEG technique is applied to study the topology of the voting decision-making networks and is compared to the results of standard ERP procedures. The results show that voting decision-making enrolled networks in charge of calculating the benefits and risks of the decision of prohibiting or allowing firearm commerce and that the topology of such networks was vote-(i.e., YES/NO-) sensitive. (C) 2010 Elsevier B.V. All rights reserved.

The 2004 Queensland State Election

This chapter is a detailed analysis of the most recent state election and places it in the context of the preceding (2001) election. The state is divided into regions for analytic reasons with each being dissected to demonstrate that, in a decentralised state such as Queensland, the aggregate result conceals certain key variations as among the state's identifiable regional components.