Oh absolutely, we will anonymize all responses in any publication!

Well given there are like 70k? and counting feeds, I’m sure you are not alone! It’s a really interesting use case and has implications for sustainability to have that institutional backing. we will reach out!!

Yes we will publish what we find! Although I don’t know if we’ll have the answer to that question as we’re mostly talking to feed creators and not users (unless you mean these institutions creating custom feeds? I haven’t heard much about this).

It’s interesting, I feel like there are a good number of tools now for end user feed creation but I don’t know of any supporting end user content moderation/labeling.

Hm I’m thinking about tools to help with creating, maintaining, hosting, monetizing, moderating, etc. feeds. So things like Graze and Skyfeed as examples. I think tools that generally support the feed ecosystem would also be helpful, eg feed recommenders, aggregators, broad analytics.

To conclude, we argue for better ways for researchers to collaborate with neurodivergent users and their communities. We also suggest building social computing systems that are more spectrum-conscious and designing for double empathy rather than only on the neurodivergent side.

"...This is present throughout many of these papers, from harmful generalizations about the 'problem' of disability in their introductions to the celebrations of newfound productivity irrespective of neurodivergent experiences."

"...Even after filtering out hundreds of skills training games and other mainstreaming technologies, the sentiment remains clear---neurodiverse social computing research seeks to mainstream or isolate neurodivergent people to preserve existing platforms and social spaces..."

"...They are purely output, expected to tolerate sensors, speak as many words as they can without acknowledgement of their content, and be productive should they appear in corporations or higher education..."

"We now have a depiction of neurodivergent people in existing social computing research. Most often, they are children, and a large majority of these children are male. They are spoken for, not with..."

In this work, Philip analyzed a decade of social computing research for neurodivergent people to understand how they conceptualized neurodiversity.

There were some bright spots but we see lots of room for improvement. A summary, taken directly from the paper (because Philip is a fantastic writer!):

My takeaway from that convo is that AI usage has signal but is not a good proxy for paper mills, and we should be careful not to conflate it w/ legitimate usage of AI. Authors need nuanced guidance before AI attribution mandates, or there'll be low uptake due to stigma in some fields.