Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
Crisismmd: Multimodal twitter datasets from natural disasters
During natural and man-made disasters, people use social media platforms such as Twitter
to post textual and multimedia content to report updates about injured or dead people …
to post textual and multimedia content to report updates about injured or dead people …
What to expect when the unexpected happens: Social media communications across crises
The use of social media to communicate timely information during crisis situations has
become a common practice in recent years. In particular, the one-to-many nature of Twitter …
become a common practice in recent years. In particular, the one-to-many nature of Twitter …
Processing social media messages in mass emergency: A survey
Social media platforms provide active communication channels during mass convergence
and emergency events such as disasters caused by natural hazards. As a result, first …
and emergency events such as disasters caused by natural hazards. As a result, first …
[KNIHA][B] Big crisis data: social media in disasters and time-critical situations
C Castillo - 2016 - books.google.com
Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …
emergency response and humanitarian relief organizations that would like to use this …
Are they our brothers? analysis and detection of religious hate speech in the arabic twittersphere
Religious hate speech in the Arabic Twittersphere is a notable problem that requires
develo** automated tools to detect messages that use inflammatory sectarian language to …
develo** automated tools to detect messages that use inflammatory sectarian language to …
Robust classification of crisis-related data on social networks using convolutional neural networks
The role of social media, in particular microblogging platforms such as Twitter, as a conduit
for actionable and tactical information during disasters is increasingly acknowledged …
for actionable and tactical information during disasters is increasingly acknowledged …
[HTML][HTML] Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach
CJ Powers, A Devaraj, K Ashqeen, A Dontula… - International Journal of …, 2023 - Elsevier
During natural disasters, emergency communication systems become overloaded, and
people are forced to turn to social media to make requests for help. This study employs …
people are forced to turn to social media to make requests for help. This study employs …
The effect of extremist violence on hateful speech online
User-generated content online is shaped by many factors, including endogenous elements
such as platform affordances and norms, as well as exogenous elements, in particular …
such as platform affordances and norms, as well as exogenous elements, in particular …