h/t Tarleton Gillespie

Williams, R. (1976). Keywords: A Vocabulary of Culture and Society. Oxford University Press.

indeed! my point was that moving from a community recognizing a gap in its own expertise to actually addressing it isn’t about (a) reinventing an existing body of work or (b) offloading the problem to a more experienced field, but about building something together.

agreed!

Couldn’t we ask in 1950s,

“Why are computer scientists the ones who should solve language understanding? They lack expertise, and there are other people who have been studying language for a very long time.”

Lots of adjacent conversations in NLP [1] and vision [2] and probably more I'm overlooking. Excited to see this community continue to grow and (hopefully) congeal. 3/3

[1] c3nlp.github.io
[2] sites.google.com/view/ec3v-cv...

This is the most recent iteration of a series of workshops that we have been co-organizing, starting at NeurIPS 2022 (ai-cultures.github.io), where I presented this slide, anticipating the next few years (with apologies to Moritz, who I think originated the fairness version it's based on). 2/3

Chapter 1 of Porter's "Trust in Numbers" touches on reproducibility, though outside of the context of the crisis.

very nice! we found that a large fraction of users literally read w their cursor and/or highlight paragraphs as they read.

[5] F Diaz, Q Guo, R White. Search result prefetching using cursor movement. SIGIR 2016.
[6] R White, F Diaz, Q Guo. Search result prefetching on desktop and mobile. TOIS 2017.

[3] P Metrikov, F Diaz, S Lahaie, J Rao. Whole page optimization: how page elements interact with the position auction. EC 2014.
[4] D Goldstein, S Suri, R P McAfee, M Ekstrand-Abueg, F Diaz. The economic and cognitive costs of annoying display advertisements. Journal of Marketing Research, 2014.

[1] M C Chen, J Anderson, M H Sohn. What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing. CHI 2001.
[2] F Diaz, R White, G Buscher, D Liebling. Robust models of mouse movement on dynamic web search results pages. CIKM 2013.

11/10 Given the impact on search evaluation/optimization, I'm excited to see how this develops w new conversational interfaces. 11/10

A nice thing about cursor/viewport tracking (and other implicit signals) is that it's less prone to self-selection bias present in explicit feedback (e.g., thumbs up/down) and available from almost all users, if done right. "Done right", ofc, means that you're rigorous in who and how you log. 10/10

Around the same time, folks like Ryen White, Jeff Huang, Eugene Agichtein, Qi Guo, and Vidhya Navalpakkam were exploring cursor tracking for a broad range of use cases. 9/10