estimating policy positions;
intraparty politics;
social media;
Twitter;
Wordfish;
TEXT ANALYSIS;
PARTY;
TWITTER;
COMPETITION;
MODEL;
D O I:
10.1177/1354068816654325
中图分类号:
D0 [政治学、政治理论];
学科分类号:
0302 ;
030201 ;
摘要:
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.
机构:
Univ Catolica Temuco, Fac Social Sci & Humanities, Temuco, ChileUniv Catolica Temuco, Fac Social Sci & Humanities, Temuco, Chile
Campos-Herrera, German
Navia, Patricio
论文数: 0引用数: 0
h-index: 0
机构:
Univ Diego Portales, Dept Polit Sci, Santiago, Chile
NYU, Liberal Studies, New York, NY 10012 USAUniv Catolica Temuco, Fac Social Sci & Humanities, Temuco, Chile
机构:
Univ Econ Bratislava, Fac Appl Languages, Dept English Language, Bratislava, SlovakiaUniv Econ Bratislava, Fac Appl Languages, Dept English Language, Bratislava, Slovakia
Maierova, Eva
JAZYK A POLITIKA: NA POMEDZI LINGVISTIKY A POLITOLOGIE III. BETWEEN LINGUISTICS AND POLITICAL SCIENCE III,
2018,
: 362
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369