most citedStudying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language

92 citations · 153 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SI2022★ 3 cited

Analyzing and visualizing polarization and balance with signed networks: the U.S. Congress case study

Arthur Capozzi, Alfonso Semeraro, Giancarlo Ruffo

Signed networks and balance theory provide a natural setting for real-world scenarios that show polarization dynamics, positive/negative relationships, and political partisanship.…

cs.CY2022★ 33 cited

Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns

Alfonso Semeraro, Salvatore Vilella, Giancarlo Ruffo +1

Since their announcement in November 2020, COVID-19 vaccines were largely debated by the press and social media. With most studies focusing on COVID-19 disinformation in social med…

cs.CY2021★ 10 cited

FakeNewsLab: Experimental Study on Biases and Pitfalls Preventing us from Distinguishing True from False News

Giancarlo Ruffo, Alfonso Semeraro

Misinformation posting and spreading in Social Media is ignited by personal decisions on the truthfulness of news that may cause wide and deep cascades at a large scale in a fracti…

cs.CY2021★ 92 cited

Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language

Giancarlo Ruffo, Alfonso Semeraro, Anastasia Giachanou +1

With the explosive growth of online social media, the ancient problem of information disorders interfering with news diffusion has surfaced with a renewed intensity threatening our…

cs.SI2021★ 15 cited

The Impact of Disinformation on a Controversial Debate on Social Media

Salvatore Vilella, Alfonso Semeraro, Daniela Paolotti +1

In this work we study how pervasive is the presence of disinformation in the Italian debate around immigration on Twitter and the role of automated accounts in the diffusion of suc…

cs.HC2021

PyPlutchik: visualising and comparing emotion-annotated corpora

Alfonso Semeraro, Salvatore Vilella, Giancarlo Ruffo

The increasing availability of textual corpora and data fetched from social networks is fuelling a huge production of works based on the model proposed by psychologist Robert Plutc…