Discourse Modeling: Difference between revisions

1,528 bytes added ,  15:54, 10 November 2022
→‎Discord: new section
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** Publish visualizations as CloudObjects
** Publish visualizations as CloudObjects
** Publish API that executes model/algorithm
** Publish API that executes model/algorithm
== Discord ==
{{Message
|Author=joelchan86
|Avatar=https://cdn.discordapp.com/avatars/322545403876868096/6dd171845a7a4e30603d98ae510c77b8.png?size=1024
|Date Sent=22-11-10 15:55:39
|Channel=discourse graphs
|Text=we think the problem now is user-friendly tools and workfows that can create discourse graph structures, and have seen some exciting progress across a bunch of new user-facing "personal wikis". but bridging from personal to communal is still a challenge, partially bc of tooling.
this is why i'm excited about the [[Discourse Modeling]] idea, which i sort of understand as a way to try to instantiate something like [[Discourse Graphs]] into a wiki (bc wikis have a lot more in-built affordances for collaboration, such as edit histories, talk pages, etc.), which may hopefully lead to a lower barrier to entry for collaborative discourse graphing.
a high hope is that we can develop a process that is easy enough to understand and implement that can then be applied to discourse graphing the IPCC or similarly large body of research on a focused, contentious, interdisciplinary topic.
other examples include:
- effects of masks on community transmission (can't do decisive RCTs, need to synthesize)
- effects of social media on political (dys)function: (existing crowdsourced lit review here, in traditional narrative form: https://docs.google.com/document/d/1vVAtMCQnz8WVxtSNQev_e1cGmY9rnY96ecYuAj6C548/edit#)
|Link=https://discord.com/channels/1029514961782849607/1040214388554084372/1040293673851691059
}}