Interactive Behavior in Political Discussions on Twitter: Politicians, Media, and Citizens’ Patterns of Interaction in the 2015 and 2016 Electoral Campaigns in Spain

Guerrero-Solé, Frederic

doi:10.1177/2056305118808776

Cited by 48 publications

(33 citation statements)

References 56 publications

(87 reference statements)

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“…However, there are a limited number of studies on Weibo in the public sector or at local government, most of them focus on the analysis of SM (mainly Twitter) for electoral campaigns [ 17 , 18 , 19 , 20 , 21 ]. Therefore, we want to analyze citizen engagement on the social media platform, not only for political purposes but also for social mobilization.…”

Section: Introductionmentioning

confidence: 99%

Promoting Public Engagement during the COVID-19 Crisis: How Effective Is the Wuhan Local Government’s Information Release?

Yang

Deng

Zhang

et al. 2020

IJERPH

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During times of public crises (such as COVID-19), governments must act swiftly to release crisis information effectively and efficiently to the public. This paper provides a general overview of the way that the Wuhan local government use Weibo as a channel to engage with their citizens during the COVID-19 pandemic. Based on the media richness, dialogic loop, and a series of theoretically relevant factors, such as content type, text length, and information source, we try to examine how citizen engage with their local government. By analyzing the data mining samples from Wuhan Release, the official Sina Weibo account of Wuhan’s local government, results show that, despite the unstable situation COVID-19 over the crisis, there exist three stages of a crisis on the whole. Combining the behavior of the government and the public, duration from 31 December 2019 to 19 January 2020 could be seen as the development period, then the outbreak period (30 January 2020 to 28 February 2020), and a grace period (29 February 2020 to19 April 2020). Public attention to different types of information changes over time, but curbing rumors has always been a priority. Media richness features partially influent citizen engagement. Text length is significantly positively associated with citizen engagement through government social media. However, posts containing information sources have a negative impact on citizen engagement.

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Section: Introductionmentioning

confidence: 99%

Promoting Public Engagement during the COVID-19 Crisis: How Effective Is the Wuhan Local Government’s Information Release?

Yang

Deng

Zhang

et al. 2020

IJERPH

View full text Add to dashboard Cite

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“…Therefore, we know a lot about how to measure digital influence, but little about how this influence is exerted on social media, in the framework of political communication. The limited number of previous studies have analyzed interactions in political discussions on Twitter, in the context of the electoral campaign and, from a broader perspective, took into account the combination of political communication actors and not just the media (Baviera, 2018;Guerrero-Solé, 2018) In order to contribute to filling this gap in research, we propose combining big data techniques with a large sample of 127.3 million tweets. Our goal is to know which are the most influential media (newspapers, television stations, radio stations, and news agencies) in the political discussion on Twitter in Spain.…”

Section: Introductionmentioning

confidence: 99%

Influencia de los medios de comunicación en la conversación política en Twitter

Casero-Ripollés

2020

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Tradicionalmente, los medios de comunicación (periódicos, cadenas de televisión, radio y agencias de noticias) han tenido una gran influencia en la sociedad, pero su papel está cambiando ante la aparición del entorno digital. Aunque sabemos mucho sobre cómo medir la influencia digital, todavía tenemos poca evidencia de cómo se ejerce en los medios sociales. Para revertir este déficit, se utilizan grandes técnicas de datos en una muestra de 127,3 millones de tweets para conocer cuáles fueron los más influyentes en el debate político sobre Twitter en España. A través de una metodología basada en el aprendizaje automático y el análisis de redes sociales, se identifican los medios de comunicación más influyentes en función de su naturaleza, tipo, posición ideológica percibida y cobertura territorial. Para ello se utilizan tres indicadores de influencia digital: actividad, popularidad y autoridad. Los resultados indican que el ejercicio de influencia sobre Twitter dentro del sistema de medios se está reconfigurando en profundidad. Asimismo, los datos revelan la incidencia de la posición ideológica percibida de los medios de comunicación, cuando se trata de tener más o menos centralidad en la red y poder influir en las interacciones en Twitter. Finalmente, aunque los medios de comunicación registran altos valores de inactividad y popularidad, generalmente obtienen valores intermedios o bajos de autoridad. Esta falta de autoridad cuestiona el poder de los medios de comunicación para influir efectivamente en el debate político en Twitter.

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“…As a result, Twitter, through valenced elaboration and opinion expression, may lead to greater opinion certainty and increased partisan polarization. Political echo-chambers develop on Twitter (Guerrero-Solé, 2018), leading to increased anxiety about the current political state (Auxier & Vitak, 2019).…”

Section: Discussionmentioning

confidence: 99%

Tweeting Along Partisan Lines: Identity-Motivated Elaboration and Presidential Debates

Jennings

Bramlett

McKinney

et al. 2020

Social Media + Society

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The influence of partisan identification infiltrates all aspects of a democracy. This study employs an innovative design to explore the presidential debate-viewing experience among young citizens. Data were collected from across the United States for all three 2016 presidential debates between Hillary Clinton and Donald Trump using pretest/posttest surveys and debate viewers’ Twitter posts. Examining Twitter expression as a form of political elaboration, the study employs a social identity theoretical perspective to better understand the process through which viewers form political attitudes. Applying the theory of identity-motivated elaboration (TIME) to presidential debates, the current research illuminates how partisan social identification changes the way viewers think about political issues and, resultantly, evaluate candidates and form political opinions. A strong partisan social identification results in greater identity-consistent elaboration and Twitter expression throughout one’s presidential debate viewing, which results in more biased candidate image evaluations and, subsequently, stronger preference for the in-party candidate.

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Interactive Behavior in Political Discussions on Twitter: Politicians, Media, and Citizens’ Patterns of Interaction in the 2015 and 2016 Electoral Campaigns in Spain

Cited by 48 publications

References 56 publications

Promoting Public Engagement during the COVID-19 Crisis: How Effective Is the Wuhan Local Government’s Information Release?

Promoting Public Engagement during the COVID-19 Crisis: How Effective Is the Wuhan Local Government’s Information Release?

Influencia de los medios de comunicación en la conversación política en Twitter

Tweeting Along Partisan Lines: Identity-Motivated Elaboration and Presidential Debates

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