Zobrazeno 1 - 10
of 188
pro vyhledávání: '"VENTURINI, TOMMASO"'
While much has been written about the problem of information overload in news and social media, little attention has been paid to its consequence in science. Scientific literature, however, has witnessed decades of exponential growth, to the point th
Externí odkaz:
http://arxiv.org/abs/2410.00788
Artificial intelligence (AI) has emerged as one of the most promising technologies to support COVID-19 research, with interdisciplinary collaborations between medical professionals and AI specialists being actively encouraged since the early stages o
Externí odkaz:
http://arxiv.org/abs/2304.08923
This paper contributes to the ongoing discussions on the scholarly access to social media data, discussing a case where this access is barred despite its value for understanding and countering online disinformation and despite the absence of privacy
Externí odkaz:
http://arxiv.org/abs/2210.01096
This work aims at emphasizing a number of questions that, although crucial since the early days of media studies, have not yet been the object of the empirical and computational study that they deserve: How does collective attention concentrate and d
Externí odkaz:
http://arxiv.org/abs/2204.12761
Autor:
Gnatyshak, Dmitry, Garcia-Gasulla, Dario, Alvarez-Napagao, Sergio, Arjona, Jamie, Venturini, Tommaso
Studying misinformation and how to deal with unhealthy behaviours within online discussions has recently become an important field of research within social studies. With the rapid development of social media, and the increasing amount of available i
Externí odkaz:
http://arxiv.org/abs/2203.11261
Autor:
Bozhanova, Krasimira, Dinkov, Yoan, Koychev, Ivan, Castaldo, Maria, Venturini, Tommaso, Nakov, Preslav
Publikováno v:
RANLP-2021
We propose a novel framework for predicting the factuality of reporting of news media outlets by studying the user attention cycles in their YouTube channels. In particular, we design a rich set of features derived from the temporal evolution of the
Externí odkaz:
http://arxiv.org/abs/2108.12519
In this work we dig into the process of scientific discovery by looking at a yet unexploited source of information: Polymath projects. Polymath projects are an original attempt to collectively solve mathematical problems in an online collaborative en
Externí odkaz:
http://arxiv.org/abs/2105.02303
Context. The lockdown orders established in multiple countries in response to the Covid-19 pandemics are arguably one of the most widespread and deepest shock experienced by societies in recent years. Studying their impact trough the lens of social m
Externí odkaz:
http://arxiv.org/abs/2007.09353
In this paper, we present a type of media disorder which we call "`junk news bubbles" and which derives from the effort invested by online platforms and their users to identify and share contents with rising popularity. Such emphasis on trending matt
Externí odkaz:
http://arxiv.org/abs/2004.08863
Publikováno v:
In Social Networks October 2023 75:137-147