Fake news is a threat to society. A huge amount of fake news is posted every day on social networks which is read, believed and sometimes shared by a number of users. On the other …
We examine the disconnect between scholarship and practice in applying machine learning to trust and safety problems, using misinformation detection as a case study. We survey …
Fake news and misinformation spread rapidly on the Internet. How to identify it and how to interpret the identification results have become important issues. In this paper, we propose a …
The objective of this paper is to present and make publicly available the NILC-Metrix, a computational system comprising 200 metrics proposed in studies on discourse …
Fake news has evolved into a pervasive issue in the era of information overload, influencing public opinion and challenging the credibility of news sources. While various approaches …
U Sharma, J Singh - Social Network Analysis and Mining, 2024 - Springer
As social media and web-based forums have grown in popularity, the fast-spreading trend of fake news has become a major threat to the government and other agencies. With the rise of …
Text readability assessment is a well-known problem that has acquired even more importance in today's information-rich world. In this article, we survey various approaches to …
With the increasing use of the Internet, people encounter a variety of news in online media and social media every day. For digital content without fact-checking mechanisms, it is likely …
Truth can vary over time. Fact-checking decisions on claim veracity should therefore take into account temporal information of both the claim and supporting or refuting evidence. In …