Discourse Graphs: Difference between revisions
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== 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 | |||
}} | |||
Latest revision as of 15:54, 10 November 2022
| Discourse Graphs | |
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| Interested Participants | |
stub
Parent Concepts:
Discord
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#)