1,147 research outputs found
Fake news language analysis and detection via a text mining approach
No full textFake news has become a growing threat to society because of the speed at which they spread and the impact they have on the shaping of people’s opinions and decisions. In recent years, misinformation on the Internet and social
media has found a perfect breeding ground for people to comment, elaborate and share fake news without external control. Finding a way to detect and prevent the spread of fake information has indeed become a pressing issue in the literature, to understand the characteristics of the Fake News phenomenon in the 2016 US presidential election
in light of the upcoming 2024 election. In this research paper, a general statistical framework combining machine learning and natural language processing techniques is proposed. The statistical model is trained on the ISOT Fake
News dataset, which contains labelled fake and real articles from 2016 to 2017 and uses Latent Dirichlet Allocation (LDA) topic-document distributions as input to various classifiers, to obtain a list of topics and their predictive impact on news manipulation. The aim of this research is also to identify a super-structure of identified topics by
using cluster analysis, to derive clusters of topics that can describe the macro-subjects associated with Fake News. The experimental results confirm the effectiveness of the proposed framework, which achieves high accuracy,
precision and recall rates in identifying fake news by using as predictors both LDA topic inputs and identified cluster labels for classification. This research successfully contributes to the development of a more consistent Fake news detection system by providing additional insights into this alarming phenomenon
Charting differentially methylated regions in cancer with Rocker-meth
No full textMatteo Benelli et al. present Rocker-meth, a new Hidden Markov Model (HMM)-based method, to robustly identify differentially methylated regions (DMRs). They use Rocker-meth to analyse more than 6000 methylation profiles across 14 cancer types, providing a catalog of tumor-specific and shared DMRs
Detecting Fake News from Text: A Stagewise Methodology
No full textFake news is a lasting issue in our society due to their propagation
speed and their impact on public opinion. In recent years, the
internet and social media have offered a perfect ground for misinformation
to spread, as people can comment, elaborate and share fake news
without any control. Consequently, detecting and preventing the dissemination
of fake information has indeed become a pressing policy issue to
tackle. For this reason, in this paper we briefly review existing fake news
datasets and we present an integrated statistical methodology for fake
news detection, based on text mining and classification. An application
on the ISOT Fake News dataset, regarding 2016 US presidential elections,
shows that ensemble methods are the most reliable in classifying
fake news articles from their textual content
Seeing and reading: metodi analitici di Rudolf Wittkower per l’articolo su Leon Battista Alberti del 1940
No full textStudi sull'architettura e teoria di Alberti da parte di Wittkower basati sul materiale di archivi
Tecnologie indossabili nell'industria del fashion: sfide e opportunità per l'innovazione sostenibile
No full textThe article explores the intersection of fashion and technology, focusing on wearable devices and smart textiles. Through the analysis of the evolution of wearable devices and smart fabrics, significant innovations in the field of tech clothing emerge. The fusion of novel formal and functional configurations has transformed garments into interactive platforms, introducing the concept of 'Fashion Tech'. This study emphasizes the need to standardize environmental assessment criteria for electronic components integrated into clothing, promoting sustainable electronics and the adoption of circular economy practices. These strategies are crucial to ensure that the future development of smart textiles is aligned with broader environmental and social goals. Projects like 'AirSuit' highlight the potential application of wearable technologies in sectors such as medicine, industry, sports, and the metaverse, offering new modes of application with significant performance improvements and novel immersive experiences
suppl_table_1_rev – Supplemental material for An RB-1 loss of function gene signature as a tool to predict response to neoadjuvant chemotherapy plus anti-HER2 agents: a substudy of the NeoALTTO trial (BIG 1-06)
No full textSupplemental material, suppl_table_1_rev for An RB-1 loss of function gene signature as a tool to predict response to neoadjuvant chemotherapy plus anti-HER2 agents: a substudy of the NeoALTTO trial (BIG 1-06) by Emanuela Risi, Chiara Biagioni, Matteo Benelli, Ilenia Migliaccio, Amelia McCartney, Martina Bonechi, Cristina Guarducci, Florentine Hilbers, Serena Di Cosimo, Jens Huober, Dario Romagnoli, Giulia Boccalini, Stefania Vitale, Christos Sotiriou, Laura Biganzoli, Angelo Di Leo and Luca Malorni in Therapeutic Advances in Medical Oncology</p
Riflessioni sulla traduzione verso l'italiano
No full textpp.69-80This article claims that the irnportant works on translation studies which have
been published in Italy in the last few years have not been paralleled by a higher
quality of the translations from French into Italian. The majority of such
translations, published by the most well-known Italian publishers, still display
many source-text interpretation errors. It is argued that the blame for the low
quality of translations from French into Italian is to be ascribed mainly to Italian
universities, where translating into Italian from a foreign language is crucially
considered as a very elementary activity. Thus considerably less irnportance is
attached to forma1 courses of translation into Italian by both teachers and
students as compared to courses focussing on second language acquisition. It is
further argued that teaching translation should mean mainly giving trainees the
tools to solve any new translation problem they may encounter in their careers -
what the author calls a "translating mentality", ie. a well-balanced and
homogeneous mix of translation theory and practice giving rise to the
translator's specific (and particular) methodological approach
- …
