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researcher

Paolo Rosso

32 papers hereh-index 7221k citations650 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author13
  • last author19

Across the 32 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CL27
  • cs.IR2
  • cs.CY1
  • cs.SI1
  • stat.ML1
same name
  • Paolo Rosso — 5 papers, h 2
  • Paolo Rosso — 2 papers, h 3
  • Paolo Rosso — 2 papers, h 2
  • Paolo Rosso — 2 papers, h 2
  • Paolo Rosso — 2 papers, h 2
  • Paolo Rosso — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedStudying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language

92 citations · 211 across the 24 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019

FacTweet: Profiling Fake News Twitter Accounts

Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso

We present an approach to detect fake news in Twitter at the account level using a neural recurrent model and a variety of different semantic and stylistic features. Our method ext…

cs.CL2019★ 10 cited

TexTrolls: Identifying Russian Trolls on Twitter from a Textual Perspective

Bilal Ghanem, Davide Buscaldi, Paolo Rosso

The online new emerging suspicious users, that usually are called trolls, are one of the main sources of hate, fake, and deceptive online messages. Some agendas are utilizing these…

cs.CL2019

An Emotional Analysis of False Information in Social Media and News Articles

Bilal Ghanem, Paolo Rosso, Francisco Rangel

Fake news is risky since it has been created to manipulate the readers' opinions and beliefs. In this work, we compared the language of false news to the real one of real news from…

cs.CL2019

Unmasking Bias in News

Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes-y-Gómez +1

We present experiments on detecting hyperpartisanship in news using a 'masking' method that allows us to assess the role of style vs. content for the task at hand. Our results corr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.