|
|
|
|
|
Hanna Zofia Kolodziejczyk
Pág. 7 - 16
Financial market participants are influenced by the news reaching them from all manner of sources, including the country?s central bank. In this paper we model daily returns of WIG20 index with respect to announcements made by the National Bank of Poland...
ver más
|
|
|
|
|
|
|
|
|
|
|
Piotr Lis
Pág. 2 - 6
Dear Readers,I have the pleasure of presenting to you the first issue of our research journal entitled ?Research Papers in Economics and Finance? (REF), published by the Faculty of Economics at Poznan University of Economics and Business. Caring about th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jawaher Alghamdi, Yuqing Lin and Suhuai Luo
The detection of fake news has emerged as a crucial area of research due to its potential impact on society. In this study, we propose a robust methodology for identifying fake news by leveraging diverse aspects of language representation and incorporati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrea Calvagna, Emiliano Tramontana and Gabriella Verga
Social media networks provide an aggregation of news and content, allowing users to share and discuss topics of greatest interest to them. Users can enrich the news by providing context and opinions that are useful to other users. Understanding topics of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Melania Nitu and Mihai Dascalu
Machine-generated content reshapes the landscape of digital information; hence, ensuring the authenticity of texts within digital libraries has become a paramount concern. This work introduces a corpus of approximately 60 k Romanian documents, including ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Charalampos A. Dimoulas and Andreas Veglis
We live in a digital era, with vast technological advancements, which, among others, have a major impact on the media domain. More specifically, progress in the last two decades led to the end-to-end digitalization of the media industry, resulting in a r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Brian Rizqi Paradisiaca Darnoto, Daniel Siahaan and Diana Purwitasari
Persuasive content in online news contains elements that aim to persuade its readers and may not necessarily include factual information. Since a news article only has some sentences that indicate persuasiveness, it would be quite challenging to differen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nasir Ayub, Tayyaba, Saddam Hussain, Syed Sajid Ullah and Jawaid Iqbal
Sentiment analysis holds great importance within the domain of natural language processing as it examines both the expressed and underlying emotions conveyed through review content. Furthermore, researchers have discovered that relying solely on the over...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jawaher Alghamdi, Yuqing Lin and Suhuai Luo
The prevalence of fake news on social media has led to major sociopolitical issues. Thus, the need for automated fake news detection is more important than ever. In this work, we investigated the interplay between news content and users? posting behavior...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jie Long, Zihan Li, Qi Xuan, Chenbo Fu, Songtao Peng and Yong Min
The opinion recognition for comments in Internet media is a new task in text analysis. It takes comment statements as the research object, by learning the opinion tendency in the original text with annotation, and then performing opinion tendency recogni...
ver más
|
|
|
|
|
|