The rapid expansion of the digital world has propelled sentiment analysi...
Social media platforms empower us in several ways, from information
diss...
The opacity of deep neural networks remains a challenge in deploying
sol...
We study the evolution of latent space in fine-tuned NLP models. Differe...
The wide use of social media and digital technologies facilitates sharin...
We propose a novel framework ConceptX, to analyze how latent concepts ar...
A large number of studies that analyze deep neural network models and th...
Gender analysis of Twitter can reveal important socio-cultural differenc...
The emergence of the COVID-19 pandemic and the first global infodemic ha...
The growing use of social media has led to the development of several Ma...
Recent research in disaster informatics demonstrates a practical and
imp...
Bangla – ranked as the 6th most widely spoken language across the world
...
We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in...
Post-processing of static embedding has beenshown to improve their
perfo...
Recent years have seen the proliferation of disinformation and misinform...
Images shared on social media help crisis managers in terms of gaining
s...
Social networks are widely used for information consumption and
dissemin...
The reporting and analysis of current events around the globe has expand...
Recent years have witnessed the proliferation of fake news, propaganda,
...
Contact tracing has been globally adopted in the fight to control the
in...
The paper presents our proposed solutions for the MediaEval 2020
Flood-R...
Sentiment analysis has been widely used to understand our views on socia...
During a disaster event, images shared on social media helps crisis mana...
Text classification has been one of the earliest problems in NLP. Over t...
With the outbreak of the COVID-19 pandemic, people turned to social medi...
Disinformation, i.e., information that is both false and means harm, thr...
Time-critical analysis of social media streams is important for humanita...
Multimedia content in social media platforms provides significant inform...
Rapid damage assessment is one of the core tasks that response organizat...
The success of deep neural networks (DNNs) is heavily dependent on the
a...
During time-critical situations such as natural disasters, rapid
classif...
During natural and man-made disasters, people use social media platforms...
Empathy, as defined in behavioral sciences, expresses the ability of hum...
The extensive use of social media platforms, especially during disasters...