Table 1 Hashtag persistence for each discursive community across the entire temporal period covered by our data set (51 days in total).

From: Analysing Twitter semantic networks: the case of 2018 Italian elections

\(H_t\)

M5S

CDX

CSX

100%

dimaio, lega, renzi, berlusconi, m5s, pd, italia

salvini, m5s, centrodestra, pd, lega

renzi, salvini, dimaio, m5s, pd

98%

forzaitalia, salvini

berlusconi, italia, renzi

 

96%

roma, ottoemezzo

forzaitalia

berlusconi, italia, lega

94%

centrodestra, ricercapubblica

 

russia

92%

boschi, politica

dimaio

europa, politica, roma

90%

fi, governo

fi, governo

 

88%

casapound

roma

 

86%

meloni

  

84%

fakenews, lavoro, liberieuguali

casapound, politica

forzaitalia, lavoro, usa

82%

8800precari, gentiloni, migranti, senato, voto

governo, lombardia

centrodestra, leu, liberieuguali

80%

bonino, campagnaelettorale, casini, leu, rosatellum

cdx, flattax, sinistra

milano, partitodemocratico, ue

78%

avanti, iovotom5s, movimento5stelle, precari, sinistra

lavoro, ue

campagnaelettorale, fakenews, governo

  1. The first column shows the percentage of days each hashtag is present in the set of tweets of each community. Notice that the hashtags that are always present are those carrying the name of political parties and political leaders, while other relevant themes for the political debate are absent from (at least) some of the discursive communities. These findings suggest that the online political debate is largely focused on single personalities/political entities (as particularly evident upon inspecting the CSX hashtags) and only to a much smaller extent on themes of public interest.