rahulbot,
@rahulbot@vis.social avatar

Computation social science Q: what do you find is the best research option for a contemporary dataset quantifying partisanship of US online news media sources? Our internal Media Cloud options used social-sharing-based metrics we can no longer replicate so they're dated. Thx for any recommendations.

janeadams,
@janeadams@vis.social avatar

@rahulbot I usually check AdFontes and AllSides -- curious to hear your thoughts on these. I prefer the 2-dimensional approach of Ad Fontes, but they really are pushing a subscription model pretty hard these days.

I was surprised when AllSides moved AP into the "left" category, because it was "center" for a very long time. You can see their decisions and history for each publisher.

AdFontes itself seems to favor left, and AllSides seems to favor right, so I cross-check 🤷‍♀️

image/png
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rahulbot,
@rahulbot@vis.social avatar

@janeadams I appreciate those pointers. Both look built around aggregating articles scores from reader panels. Do you see these holding up and being useful in your research? Also hard to tell if they allow source score data download (for a fee?).

janeadams,
@janeadams@vis.social avatar

@rahulbot Hmm that I don't know -- I don't do CSS anymore. When I was at UVM Computational Story Lab (https://compstorylab.org/) four years ago, we were using Twitter and PushShift for raw data, but they lost access after I left.

I could see an approach of doing something like a wordshift graph (https://ryanjgallagher.github.io/code/word_shift/overview) of a bunch of articles with scores scraped like in the tabl at the bottom here: https://adfontesmedia.com/aol-com-bias-and-reliability/

Maybe reach out to them with a proposed project and see what they say?

janeadams,
@janeadams@vis.social avatar

@rahulbot You might also have overlapping research interests with @mstringer who makes @FrontPagesBot :)

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