ΑΙhub.org
 

Tweet round-up from #ICWSM24


by
10 June 2024



share this:


The 18th International Conference on Web and Social Media (ICWSM) took place from 3-6 June in Buffalo, USA. The conference cuts across many disciplines including network science, machine learning, computational linguistics, sociology, communication, and political science. In this Twitter round-up, we take a look at what the participants got up to at the event.



tags: ,


AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.




            AIhub is supported by:



Related posts :



AAAI presidential panel – AI perception versus reality video discussion

  02 Jan 2026
Watch the second panel discussion in this series from AAAI.

More than half of new articles on the internet are being written by AI

  31 Dec 2025
The line between human and machine authorship is blurring, particularly as it’s become increasingly difficult to tell whether something was written by a person or AI.
monthly digest

2025 digest of digests

  30 Dec 2025
We look back through the archives of our monthly digests to pick out some highlights from the year.
monthly digest

AIhub monthly digest: December 2025 – studying bias in AI-based recruitment tools, an image dataset for ethical AI benchmarking, and end of year com

  29 Dec 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

Half of UK novelists believe AI is likely to replace their work entirely

  24 Dec 2025
A new report asks literary creatives about their views on generative AI tools and LLM-authored books.

RL without TD learning

  23 Dec 2025
This post introduces a reinforcement learning algorithm based on a divide and conquer paradigm.

AIhub interview highlights 2025

  22 Dec 2025
Join us for a look back at some of the interviews we've conducted with members of the AI community.

Identifying patterns in insect scents using machine learning

  19 Dec 2025
Scientists will use machine learning to predict what types of molecules interact with insect olfactory receptors.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence