New @Journal_Of_Comm w/@jinwoo_kim01 @andyguess @JasonReifler on how self-selection & exposure to incivility fuel online comment toxicity
academic.oup.com/joc/advance-ar…

-Commenters very polarized
-FB comment toxicity >> comments from nat rep sample
-Toxicity → likes, more toxicity
🧵
Key finding 1 (academic.oup.com/joc/advance-ar…):

Consistent w/@boralexander1 @M_B_Petersen finding that online hostility reflects differences in who participates in political discussion online (cambridge.org/core/journals/…), we show commenters are unusually politically engaged & polarized.
Key finding 2 (academic.oup.com/joc/advance-ar…):

Prior research has no baseline for assessing online comments so we compared FB comments w/comments we elicited from a public sample on those articles. Real-world comments and those from commenters were more toxic (using Perspective API).
Key finding 3 (academic.oup.com/joc/advance-ar…):

Toxicity can spread:
-More toxic comments get more likes (except in most extreme cases), which can increase algorithmic exposure
-Randomly exposing participants to more toxic comments leads them to write more toxic comments themselves
PS For some reason, my PDF program was copying out fuzzy graphics, so here's the first tweet again with sharp graphics if you want something cleaner to RT!
New @Journal_Of_Comm w/@jinwoo_kim01 @andyguess @JasonReifler on how self-selection & exposure to incivility fuel online comment toxicity
academic.oup.com/joc/advance-ar…

-Commenters very polarized
-FB comment toxicity >> comments from nat rep sample
-Toxicity → likes, more toxicity
🧵

• • •

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More from @BrendanNyhan

Jul 27, 2023
New @nature: Like-minded sources on Facebook are prevalent but not polarizing
(open access!)

Our key findings:
-Median FB user gets 50.4% of content from like-minded sources
-But reducing exposure by ~1/3 for 3 months had no measurable effect on attitudes https://t.co/IpaHQ0bnGznature.com/articles/s4158…



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Increased polarization and hostility are often blamed on echo chambers on social media.

We therefore look at the sources people are exposed to on Facebook to see (a) how slanted they are toward people's political leanings & (b) what effect changing those sources would have.
We estimate user political leanings with a validated classifier and categorize other users, Pages, & groups as "like-minded" (sharing user's leanings), "cross-cutting" (on other side), or neither (in the middle). Exposure data are June-Sept. '20, experimental data Sept.-Dec. '20.
Read 14 tweets
Apr 22, 2023
Inducing all of the 1M+ follower accounts to denounce your product is some god-level marketing genius Image
Being treated by huge accounts like it's a virus Image
They're going to teach this in business school someday Image
Read 9 tweets
Dec 6, 2022
Here's a whole pseudo-panel on our YouTube paper (sites.dartmouth.edu/nyhan/files/20…) featuring synthetic @j_a_tucker, @AdamBerinsky, @emilythorson, @AliceMarwick, and @duncanjwatts. The real people are of course way better but it's a pretty good summary of key points!
Next I pressed ChatGPT to make synthetic @j_a_tucker,
@AdamBerinsky, @emilythorson, @AliceMarwick, &
@duncanjwatts more critical & to draw on specific research. Again not nearly as good as the real folks but how long until we're evaluating R2 on value above ChatGPT (VOCG)?
Here's a review written by synthetic me. I gave my paper an R&R, which I guess is a good sign?
Read 4 tweets
Dec 1, 2022
How many technical class syllabi are now going to include recommendations to query ChatGPT with questions? Simple example - look how clear this is Image
Holy cow Image
Read 22 tweets
Nov 30, 2022
Academics: Papers that say they are preregistered must (a) attach the prereg as filed and/or (b) provide a working link to the full prereg. Anything else should be bounced by the journal or rejected by reviewers. Otherwise prereg just becomes a totem people invoke w/no content.
I ran out of room but this too! Reviewers HAVE to look at the prereg. Writing down a few vague hypotheses and then saying the whole study is preregistered is not a preregistered study. Telltale signs: lack of description of deviations & what is exploratory
If you are an editor or on an editorial board, you need to include these checks in your post-submission workflow. Don't let papers get to the review stage that don't provide full preregistration information if they claim it!
Read 4 tweets

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