This is my favorite project that I have worked on and I think the findings have important implications for how we think about the nationalization of politics in the US. Members are still going local in comms. I hope Congress and comms scholars find this useful.
#Polcomm @polcomm.bsky.social

In general, Presidential control, ideological extremity, electoral safety predict the use of localized messaging by Members. As does, in perhaps my favorite finding, Member seniority/freshman status - newer Members strategically engage more locally with their districts!

I analyze multiple platforms (Twitter and Facebook) and multiple modes (messages and link sharing) to get a multi-faceted look at localized messaging. This inlcudes a local/national classification of over 45,000 shared web domains. The ML text classifier also performs really well.

Centrally, the use of localized messaging varies by party based on partisan control of the White House (and congressional chamber). Governing parties use messaging on localized benefits, opposition focuses more on national political developments. This results in a visually pleasing back and forth.

I'm not writing that chapter, so it'll be not the worst!

There's a apsa presidential taskforce on AI which will release a report next year with teaching being a chapter

An annoyingly good idea and well executed!

I recently reviewed a paper that had not 3 but 5 reviewers on it, so seems to be some inefficiencies in the market here! Maybe Europeans just say yes more?

And here's Facebook. Really does seem to be a Covid term!

Size matters: LLama 3.1/3.3 70b perform best, along with Qwen2/2.5 72b. Gemma2 and Phi4 stand out as strong mid-sized models. Many smaller models produce poor results. Model selection can have a huge impact on your results!

Just started using atrrr for search and user post collection. Firehose would be a massive plus!

113th congress starts in '13 is my go-to shorthand!

Fresh email this morning: "an account has been created for you in ScholarOne", nooooo!

Bit chicken and egg though, did researchers adjust to stargazer or did stargazer adjust its defaults to perceived research practices

My hunch would be at least some creep after the rise of stargazer as a default tabulating method, with its default of * for 0.1.

Accept it with arms wide open, Kevin...

Worked in three reps offices. Member 1 was given weekly tally of calls, never saw emails. Member 2 given no information on either. Member 3 informal updates on calls, never saw emails.
99% is just fielded by interns. Up to the individual Member whether they care to receive any of it.

An extra 128gb ram and any 16gb or 24gb Nvidia gpu
... Alternatively, an absolute tonne of gaudy strobe rgb fans

@sysilviakim.bsky.social
Coming to a JOP issue near you!