Effective disaster response is critical for affected communities. Respon...
Data users need relevant context and research expertise to effectively s...
The rapid advancements in generative AI models present new opportunities...
Harmful content is pervasive on social media, poisoning online communiti...
Large language models (LLMs) are a class of language models that have
de...
Data reuse is a common practice in the social sciences. While published ...
As content moderation becomes a central aspect of all social media platf...
Discovering authoritative links between publications and the datasets th...
Data archives are an important source of high quality data in many field...
The Internet Research Agency (IRA) influences online political conversat...
Data citations provide a foundation for studying research data impact.
C...
Data curation is the process of making a dataset fit-for-use and archive...
To reduce the spread of misinformation, social media platforms may take
...
This paper describes a machine learning approach for annotating and anal...
Understanding how political attention is divided and over what subjects ...
Online abusive behavior affects millions and the NLP community has attem...
There is evidence that Russia's Internet Research Agency attempted to
in...
We present findings from interviews with 23 individuals affiliated with
...
Online antisocial behavior, such as cyberbullying, harassment, and troll...
To address "bad actors" online, I argue for more specific definitions of...