[HTML][HTML] Data science, machine learning and big data in digital journalism: A survey of state-of-the-art, challenges and opportunities

E Fernandes, S Moro, P Cortez - Expert Systems with Applications, 2023 - Elsevier
Digital journalism has faced a dramatic change and media companies are challenged to use
data science algorithms to be more competitive in a Big Data era. While this is a relatively …

A measurement study of hate speech in social media

M Mondal, LA Silva, F Benevenuto - … of the 28th ACM conference on …, 2017 - dl.acm.org
Social media platforms provide an inexpensive communication medium that allows anyone
to quickly reach millions of users. Consequently, in these platforms anyone can publish …

[PDF][PDF] Sentibench-a benchmark comparison of state-of-the-practice sentiment analysis methods

FN Ribeiro, M Araújo, P Gonçalves… - EPJ Data Science, 2016 - Springer
In the last few years thousands of scientific papers have investigated sentiment analysis,
several startups that measure opinions on real data have emerged and a number of …

Infodemia global. Desórdenes informativos, narrativas fake y fact-checking en la crisis de la Covid-19

D García-Marín - Profesional de la información, 2020 - revista.profesionaldelainformacion …
La Covid-19 no sólo ha desencadenado una pandemia que pone en peligro los sistemas
sociales, económicos y sanitarios a nivel global, sino también una infodemia donde …

[HTML][HTML] News-based sentiment and bitcoin volatility

N Sapkota - International Review of Financial Analysis, 2022 - Elsevier
In this work, I studied whether news media sentiments have an impact on Bitcoin volatility. In
doing so, I applied three different range-based volatility estimates along with two different …

Neutrality may matter: sentiment analysis in reviews of Airbnb, Booking, and Couchsurfing in Brazil and USA

G Santos, VFS Mota, F Benevenuto… - Social Network Analysis …, 2020 - Springer
Abstract Information and communications technologies have enabled the rise of the
phenomenon named sharing economy, which represents activities between people …

Discourse-aware rumour stance classification in social media using sequential classifiers

A Zubiaga, E Kochkina, M Liakata, R Procter… - Information Processing …, 2018 - Elsevier
Rumour stance classification, defined as classifying the stance of specific social media posts
into one of supporting, denying, querying or commenting on an earlier post, is becoming of …

Sentiment analysis of news articles: a lexicon based approach

S Taj, BB Shaikh, AF Meghji - 2019 2nd international …, 2019 - ieeexplore.ieee.org
Modern technological era has reshaped traditional lifestyle in several domains. The medium
of publishing news and events has become faster with the advancement of Information …

Inside the right-leaning echo chambers: Characterizing gab, an unmoderated social system

L Lima, JCS Reis, P Melo, F Murai… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
The moderation of content in many social media systems, such as Twitter and Facebook,
motivated the emergence of a new social network system that promotes free speech, named …

A comparative study of machine translation for multilingual sentence-level sentiment analysis

M Araújo, A Pereira, F Benevenuto - Information Sciences, 2020 - Elsevier
Sentiment analysis has become a key tool for several social media applications, including,
analysis of user's opinions about products and services, support for politics during …