Open source intelligence and AI: a systematic review of the GELSI literature

R Ghioni, M Taddeo, L Floridi - AI & society, 2024 - Springer
Today, open source intelligence (OSINT), ie, information derived from publicly available
sources, makes up between 80 and 90 percent of all intelligence activities carried out by …

Algorithmic extremism: Examining YouTube's rabbit hole of radicalization

M Ledwich, A Zaitsev - arXiv preprint arXiv:1912.11211, 2019 - arxiv.org
The role that YouTube and its behind-the-scenes recommendation algorithm plays in
encouraging online radicalization has been suggested by both journalists and academics …

[HTML][HTML] A quantum-inspired multimodal sentiment analysis framework

Y Zhang, D Song, P Zhang, P Wang, J Li, X Li… - Theoretical Computer …, 2018 - Elsevier
Multimodal sentiment analysis aims to capture diversified sentiment information implied in
data that are of different modalities (eg, an image that is associated with a textual description …

SentiHealth: creating health-related sentiment lexicon using hybrid approach

MZ Asghar, S Ahmad, M Qasim, SR Zahra, FM Kundi - SpringerPlus, 2016 - Springer
The exponential increase in the health-related online reviews has played a pivotal role in
the development of sentiment analysis systems for extracting and analyzing user-generated …

Takeover transition in autonomous vehicles: A YouTube study

F Zhou, XJ Yang, X Zhang - International Journal of Human …, 2020 - Taylor & Francis
Automated driving has many potential benefits, such as improving driving safety and
reducing drivers' workload. However, from a human factors' perspective, one concern is that …

The circular economy through the prism of machine learning and the YouTube video media platform

G Tsironis, T Daglis, KP Tsagarakis - Journal of Environmental …, 2024 - Elsevier
The transition to a Circular Economy (CE) is rapidly gaining ground across countries and
industries. It is the means of achieving more sustainable development by adopting …

A quantum-inspired sentiment representation model for twitter sentiment analysis

Y Zhang, D Song, P Zhang, X Li, P Wang - Applied Intelligence, 2019 - Springer
Sentiment analysis aims to capture the diverse sentiment information expressed by authors
in given natural language texts, and it has been a core research topic in many artificial …

A YouTube spam comments detection scheme using cascaded ensemble machine learning model

H Oh - IEEE Access, 2021 - ieeexplore.ieee.org
This paper proposes a technique to detect spam comments on YouTube, which have
recently seen tremendous growth. YouTube is running its own spam blocking system but …

Analysis and classification of user comments on YouTube videos

KM Kavitha, A Shetty, B Abreo, A D'Souza… - Procedia Computer …, 2020 - Elsevier
We categorize the user comments posted on YouTube video sharing website based on their
relevance to the video content given by the description associated with the video posted …

Analysis of YouTube video contents on Koha and DSpace, and sentiment analysis of viewers' comments

M Deori, V Kumar, MK Verma - Library Hi Tech, 2023 - emerald.com
Purpose The purpose of the study is to evaluate certain characteristics of the videos of the
software Koha and DSpace posted on YouTube. Since YouTube has the potential to provide …