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Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions
Twitter is a microblogging tool that allow the creation of big data through short digital
contents. This study provides a survey of machine learning techniques for hate speech …
contents. This study provides a survey of machine learning techniques for hate speech …
The role of explainable Artificial Intelligence in high-stakes decision-making systems: a systematic review
A high-stakes event is an extreme risk with a low probability of occurring, but severe
consequences (eg, life-threatening conditions or economic collapse). The accompanying …
consequences (eg, life-threatening conditions or economic collapse). The accompanying …
Design and analysis of a large-scale COVID-19 tweets dataset
R Lamsal - applied intelligence, 2021 - Springer
Abstract As of July 17, 2020, more than thirteen million people have been diagnosed with
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …
Using AI and social media multimodal content for disaster response and management: Opportunities, challenges, and future directions
Abstract People increasingly use Social Media (SM) platforms such as Twitter and Facebook
during disasters and emergencies to post situational updates including reports of injured or …
during disasters and emergencies to post situational updates including reports of injured or …
HAN, image captioning, and forensics ensemble multimodal fake news detection
Nowadays, news publication, propagation, and consumption have been diverted to online
social media networks and web portals, which has given rise to falsified and fabricated news …
social media networks and web portals, which has given rise to falsified and fabricated news …
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model
R Koshy, S Elango - Neural Computing and Applications, 2023 - Springer
The goal of this research is to use social media to gain situational awareness in the wake of
a crisis. With the developments in information and communication technologies, social …
a crisis. With the developments in information and communication technologies, social …
[HTML][HTML] Improving crisis events detection using distilbert with hunger games search algorithm
This paper presents an alternative event detection model based on the integration between
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data
The aggregation of the same type of socio-economic activities in urban space generates
urban functional zones, each of which has one function as the main (eg, residential …
urban functional zones, each of which has one function as the main (eg, residential …
Humaid: Human-annotated disaster incidents data from twitter with deep learning benchmarks
Social networks are widely used for information consumption and dissemination, especially
during time-critical events such as natural disasters. Despite its significantly large volume …
during time-critical events such as natural disasters. Despite its significantly large volume …
Exploring the potential of social media crowdsourcing for post-earthquake damage assessment
Following disaster events, a significant hindrance to emergency response is a lack of
information on the spatial extent and severity of damages. Social media crowdsourcing has …
information on the spatial extent and severity of damages. Social media crowdsourcing has …