Journal
POLITICAL COMMUNICATION
Volume 39, Issue 1, Pages 39-60Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10584609.2021.1910390
Keywords
Agenda setting; social media; newspapers; supervised machine learning
Categories
Funding
- Swiss National Science Foundation [10DL11_183120]
- European Research Council (ERC) under the European Union [883121]
- Swiss National Science Foundation (SNF) [10DL11_183120] Funding Source: Swiss National Science Foundation (SNF)
- European Research Council (ERC) [883121] Funding Source: European Research Council (ERC)
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The role of social media in political agenda setting has been studied in the Swiss context, showing that traditional media agenda, social media party agenda, and social media politician agenda influence each other. However, in most cases, no single agenda leads more than it is led by others, with the exception being the social media party agenda being more predictive of the traditional media agenda for the environment issue. These findings highlight the interconnectedness of different agendas and the potential impact of advocacy campaigns on shaping specific agendas for political parties.
What is the role of social media in political agenda setting? Digital platforms have reduced the gatekeeping power of traditional media and, potentially, they have increased the capacity of various kinds of actors to shape the agenda. We study this question in the Swiss context by examining the connections between three agendas: the traditional media agenda, the social media agenda of parties, and the social media agenda of politicians. Specifically, we validate and apply supervised machine learning classifiers to categorize 2.78 million articles published in 84 newspapers, 6,500 tweets posted on official party accounts, and 210,000 tweets posted by politicians on their own accounts from January 2018 until December 2019. We first use the classifier to measure the salience of the four most relevant issues of the period: the environment, Europe, gender equality, and immigration. Then, using a vector autoregression (VAR) approach, we analyze the relationship between the three agendas. Results show that not only do the traditional media agenda, the social media agenda of parties, and the social media agenda of politicians influence one another but, overall, no agenda leads the others more than it is led by them. There is one important exception: for the environment issue, the social media agenda of parties is more predictive of the traditional media agenda than vice-versa. These findings underscore how closely different agendas are tied together, but also show that advocacy campaigns may play an important role in both constraining and enabling parties to push their specific agendas.
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