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20212023
most citedPanning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2023

Dynamics of toxic behavior in the Covid-19 vaccination debate

Azza Bouleimen, Nicolò Pagan, Stefano Cresci +2

In this paper, we study the behavior of users on Online Social Networks in the context of Covid-19 vaccines in Italy. We identify two main polarized communities: Provax and Novax.…

cs.CY2023

User Attitudes to Content Moderation in Web Search

Aleksandra Urman, Aniko Hannak, Mykola Makhortykh

Internet users highly rely on and trust web search engines, such as Google, to find relevant information online. However, scholars have documented numerous biases and inaccuracies…

cs.SI2023

User's Reaction Patterns in Online Social Network Communities

Azza Bouleimen, Nicolò Pagan, Stefano Cresci +3

Several one-fits-all intervention policies were introduced by the Online Social Networks (OSNs) platforms to mitigate potential harms. Nevertheless, some studies showed the limited…

cs.CL20225 cited

Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data

Mykola Makhortykh, Ernesto de León, Aleksandra Urman +5

The growing availability of data about online information behaviour enables new possibilities for political communication research. However, the volume and variety of these data ma…

cs.IR20211 cited

Where the Earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results

Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa +1

Web search engines are important online information intermediaries that are frequently used and highly trusted by the public despite multiple evidence of their outputs being subjec…