Talk:Community Notes
This is the talk page for discussing improvements to the Community Notes article. This is not a forum for general discussion of the article's subject. |
Article policies
|
Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL |
![]() | This article is rated GA-class on Wikipedia's content assessment scale. It is of interest to the following WikiProjects: | |||||||||||||||||||||||||||||||||||||||||||||||
|
![]() | Community Notes has been listed as one of the Engineering and technology good articles under the good article criteria. If you can improve it further, please do so. If it no longer meets these criteria, you can reassess it. | |||||||||||||||
|
Unsourced quote
The current article states that:
Programmer Vitalik Buterin has described the open-source algorithm as "insanely complicated".
With the quotes indicating that these are his own words and aren't paraphrased, however there is no evidence that he has actually said this. Both associated citations don't directly quote him and his extensively researched blog post on the subject https://archive.is/wMslg which is linked to by the Yahoo Finance article, doesn't even have the word insane in it. As far as I can tell, this is editorialising on the part of the Yahoo Finance writer that has been misattributed to Vitalik.
This claim could be removed entirely, because it's not informative or objective, even if Vitalik did say these words it's too editorial for an encyclopedia article. Andykitchen (talk) 15:50, 3 February 2025 (UTC)
Proposal to add description of new studies under "Studies" subsection
COI Note: I found this page due to this tweet (https://x.com/_jaybaxter_/status/1910482726630940782), so I request an unbiased editor to review. (Also, per the tweet, there is a small numerical error to correct on the current page: Allen's 2024 study found 97% of COVID-19 vaccine notes in their sample were accurate, not 96%). Proposed additional paragraphs below:
Multiple studies have examined the impact on spread of tweets due to Community Notes, and have found significant reductions in engagements and views on misleading tweets after notes are applied. Slaughter et al. in 2025 found a 46% drop in reposts, 44% drop in likes, 23% drop in replies, and 14% drop in views after a note was attached to a tweet.[1] Renault et al. found that retweets were reduced by "almost half", and there is an 80% higher probability that a tweet is deleted by its creator.[2] Chuai et al. also found a similar result: "exposing users to community notes reduced the spread of misleading posts by, on average, 62.0%. Furthermore, community notes increased the odds that users delete their misleading posts by 103.4%". However, they also found that community notes might be too slow (during the period studied: 2021-2023) to intervene in the early (and most viral) stage of the diffusion. [3] Community Notes have since become faster after X "re-architected" the community notes scoring system in 2024. [4]
Drolsbach et al. found that community notes were perceived as significantly more trustworthy than simple misinformation flags, and also that community notes improved the identification of misleading posts.[5].
- Preceding unsigned comment is from User:CommunityNotesFan in case others make the same mistake I did, this is not User:CommunityNotesContributor Czarking0 (talk) 16:45, 11 April 2025 (UTC)
- @CommunityNotesFan: Your first three sources here are preprints that have not been published in peer reviewed journals. Given that preprints do not have editorial oversight they are not WP:RS. FN4 is probably RS but it just reporting that the company claims that their notes are faster now. This is maybe noteworthy? I am not sure where this would belong in the article but we would need to be careful with the wording and it probably does not belong in the Studies section. FN5 seems like something that could be included in the studies section. Czarking0 (talk) 16:54, 11 April 2025 (UTC)
- Ok I added FN5 Czarking0 (talk) 17:06, 11 April 2025 (UTC)
- ^ Slaughter, Isaac; Peytavin, Axel; Ugander, Johan; Saveski, Martin (2025). "Community Notes Moderate Engagement With and Diffusion of False Information Online". arXiv:2502.13322 [cs.SI].
- ^ Renault, Thomas; Restrepo Amariles, David; Troussel, Aurore (2024). "Collaboratively adding context to social media posts reduces the sharing of false news". arXiv:2404.02803 [econ.GN].
- ^ Chuai, Yuwei; Pilarski, Moritz; Renault, Thomas; Restrepo-Amariles, David; Troussel-Clément, Aurore; Lenzini, Gabriele; Pröllochs, Nicolas (2024). "Community-based fact-checking reduces the spread of misleading posts on social media". arXiv:2409.08781 [cs.SI].
- ^ Bell, Karissa (2024-10-29). "X is trying to make Community Notes faster with 'lightning notes'". Engadget. Retrieved 2025-04-10.
- ^ Drolsbach, C. P.; Solovev, K.; Pröllochs, N. (2024-05-31). "Community notes increase trust in fact-checking on social media". PNAS Nexus. 3 (7): pgae217. doi:10.1093/pnasnexus/pgae217. PMC 11212665. PMID 38948016.
{{cite journal}}
: CS1 maint: PMC format (link)
- GA-Class Technology articles
- WikiProject Technology articles
- GA-Class Internet articles
- Low-importance Internet articles
- WikiProject Internet articles
- GA-Class Internet culture articles
- Low-importance Internet culture articles
- WikiProject Internet culture articles
- GA-Class software articles
- Low-importance software articles
- GA-Class software articles of Low-importance
- GA-Class Computing articles
- Unknown-importance Computing articles
- All Computing articles
- All Software articles
- Wikipedia good articles
- Engineering and technology good articles