Twitter and politics: Evidence from the US presidential elections 2016

Buccoliero, Luca; Bellio, Elena; Crestini, Giulia; Arkoudas, Alessandra

doi:10.1080/13527266.2018.1504228

Cited by 69 publications

(62 citation statements)

References 28 publications

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“…OSN are channels for politicians to construct their digital image and reputation (Grimaldi, 2019). They provide important platforms for the interaction and mobilization of voters before an election (Buccoliero et al, 2020). Amongst other online networks, Twitter microblogging allows its users to express their thoughts, feelings and opinions in the form of text.…”

Section: Related Workmentioning

confidence: 99%

“…Twitter by conveying candidates' messages about their ideas, policies, and future actions establishes fundamentals that resonate for the public as much as those sent by the traditional media. Consequently, there is growing interest in the creation of textual or linguistic classi ers to determine whether opinions expressed by individuals can be considered as favourable or unfavourable indicators of voting behaviour (Awais et al, 2019;Buccoliero et al, 2020;Silva et al, 2020). The methodological approaches that have been used so far, have been mainly based on a lexicon of speci c terms used or pre-tagged texts.…”

Section: Related Workmentioning

confidence: 99%

“…More than 500 million messages, commonly known as tweets, are posted every day (Dietrich & Juelich, 2018;Marozzo & Bessi, 2018). Given that the main reason behind these publications is to express the opinion of the users, they have proven to be great interest to be analysed (Buccoliero et al, 2020;Mehta et al, 2020;Silva et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Inferring the votes in a new political landscape. The case of the 2019 Spanish Presidential elections.

Grimaldi

Díaz

Arboleda

2020

Preprint

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Abstract The avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only their value, but also their limits. Predicting election results using Twitter data is an example of how data can directly influence the politic domain and it also serves an appealing research topic. This article aims to predict the results of the 2019 Spanish Presidential election and the voting share of each candidate, using Tweeter. The method combines sentiment analysis and volume information and compares the performance of five Machine Learning algorithms. Several data scrutiny uncertainties arose that hindered the prediction of the outcome. Consequently, the method develops a political lexicon-based framework to measure the sentiments of online users. Indeed, an accurate understanding of the contextual content of the tweets posted was vital in this work. Our results correctly ranked the candidates and determined the winner by means of a better prediction of votes than official research institutes.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Inferring the votes in a new political landscape. The case of the 2019 Spanish Presidential elections.

Grimaldi

Díaz

Arboleda

2020

Preprint

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“…Twitter allows users to share opinions and can allow politicians to easily speak directly to voters, about events as they are happening, bypassing the media that might otherwise filter or frame their content [3] [4]. Its use was credited with playing a part in the 2016 election of Donald Trump [5], whose frequent, and sometimes controversial, Tweets generated much free media coverage [6]. Twitter also plays a role in the spread of misinformation; this has become particularly evident concerning content around COVID-19 [7] [8] where misinformation about fake cures and treatments have contributed to accidental deaths [9].…”

Section: Introductionmentioning

confidence: 99%

A Semantic and Syntactic Similarity Measure for Political Tweets

et al. 2020

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Measurement of the semantic and syntactic similarity of human utterances is essential in allowing machines to understand dialogue with users. However, human language is complex, and the semantic meaning of an utterance is usually dependent upon the context at a given time and learnt experience of the meaning of the words that are used. This is particularly challenging when automatically understanding the meaning of social media, such as tweets, which can contain non-standard language. Short Text Semantic Similarity measures can be adapted to measure the degree of similarity of a pair of tweets. This work presents a new Semantic and Syntactic Similarity Measure (TSSSM) for political tweets. The approach uses word embeddings to determine semantic similarity and extracts syntactic features to overcome the limitations of current measures which may miss identical sequences of words. A large dataset of tweets focusing on the political domain were collected, pre-processed and used to train the word embedding model, with various experiments performed to determine the optimal model and parameters. A selection of tweet pairs were evaluated by humans for semantic equivalence and correlated against the measure. The new measure can be used in a variety of applications, including for identifying and analyzing political narratives. Experiments on three diverse human-labelled test datasets demonstrate that the measure outperforms an existing measure, performs well on tweets from the political domain and may also generalize outside the political domain.

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“…En los últimos años se puede constatar en España una profunda transformación a la hora de comunicar la política (Sampietro; Sánchez-Castillo, 2020; Baviera; Peris; Cano-Orón, 2019; Gil-Ramírez, 2019; Coromina; Prado; Padilla, 2018; López-Rabadán; Doménech-Fabregat; 2018; Selva-Ruiz; Caro-Castaño, 2017; Vázquez-Sinde, 2017; Berrocal-Gonzalo; Martín-Jiménez; Gil-Torres, 2017; López-García, 2016), que es compartida con otros muchos lugares (Buccoliero et al, 2020;Mazzoleni;Bracciale, 2018;Stier et al, 2018;Enli, 2017;Lalancette;Raynauld, 2017;Ekman;Widhom, 2017;Bode, 2016;Borah, 2016). La irrupción de las redes sociales y las aplicaciones digitales para transmitir el discurso político y generar engagement entre los ciudadanos (Sánchez-Duarte, 2016;Vaccari et al, 2015; Casero-Ripollés, 2015) ha alterado para siempre los procesos de mediatización de la política (Hepp;Hjarvard;Lundby, 2015;Esser;Strömback, 2014), que se ha visto superada por la aparición de nuevos formatos y lenguajes (Alcott; Gentzkow, 2017).…”

Section: Introductionunclassified

Infoentretenimiento y espectáculo televisivo en la comunicación política valenciana: las elecciones autonómicas de 2019 en la televisión pública À Punt

Blanes

2020

Comunicación Y Diversidad. Selección De Comunicaciones Del VII Congreso Internacional De La Asociación Española De Investigació

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In recent years, the emergence of social media and digital applications to transmit political discourse has altered the mediatization process of politics forever. Within this changing, hybrid, and more complex scenario, television is also adapting to new communication needs. One of the most visible effects is the role that entertainment programs have acquired lately in the transmission of political information. This is not an exclusively Spanish phenomenon, nor is it strictly novel. Indeed, infotainment has been a fully established television formula for decades, on the one hand, because television executives have discovered that politics is profitable in terms of audience and publicity, and on the other, because political leaders have become interested in transmitting their message to audiences who have historically been distant from these issues. This relationship between television entertainment and politics has deepened in recent times. We analyze herein the presence of political infotainment in the coverage by the new Valencian public television, À Punt, of the 2019 regional elections. The interest of this research lies, first, in verifying how this global trend is materialized in a regional/local environment; and second, in determining the level of innovation of the network when communicating regional policy, bearing in mind that it is a recently created public broadcaster and, therefore, has much to gain and little to lose. To do this, we adopt a qualitative approach that allows us to analyze the formal and narrative strategies that the network puts into play to bring Valencian politics closer to viewers and the contextual and production conditions in which they are carried out. Resumen En los últimos años, la irrupción de las redes sociales y las aplicaciones digitales para transmitir el discurso político ha alterado para siempre los procesos de mediatización de la política. Dentro de este escenario cambiante, híbrido y más complejo, la televisión también está adaptándose a las nuevas necesidades comunicativas. Una de las más visibles es el papel que están adquiriendo últimamente los programas de entretenimiento en la transmisión de la información política. No se trata de un fenómeno exclusivamente español ni estrictamente novedoso. Hace décadas que el infoentretenimiento se ha convertido en una fórmula televisiva plenamente consolidada. Primero, porque los ejecutivos de la televisión han descubierto que la política es rentable en términos de audiencia y publicidad; y segundo, porque a los líderes políticos les ha interesado acercar su mensaje a públicos históricamente alejados de estas temáticas. Una relación, entre entretenimiento televisivo y política, que se ha profundizado en los últimos tiempos. En el presente texto analizamos la presencia del infoentretenimiento político en la cobertura que la nueva televisión pública valenciana, À Punt, hizo de las elecciones autonómicas de 2019. El interés de la investigación radica, primero, en comprobar de qué modo esta tendencia global se materializa en un medio regional/local; y segundo, en conocer el nivel de innovación de la cadena a la hora de comunicar la política regional teniendo en cuenta que se trata de un medio público de reciente creación y, por lo tanto, con mucho que ganar y poco que perder. Para ello, realizaremos una aproximación cualitativa que nos permita analizar las estrategias formales y narrativas que la cadena pone en juego para aproximar la política valenciana a los espectadores y las condiciones contextuales y de producción en que éstas se llevan a cabo.

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Twitter and politics: Evidence from the US presidential elections 2016

Cited by 69 publications

References 28 publications

Inferring the votes in a new political landscape. The case of the 2019 Spanish Presidential elections.

Inferring the votes in a new political landscape. The case of the 2019 Spanish Presidential elections.

A Semantic and Syntactic Similarity Measure for Political Tweets

Infoentretenimiento y espectáculo televisivo en la comunicación política valenciana: las elecciones autonómicas de 2019 en la televisión pública À Punt

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