> Yes, it [Twitter/X] is quite unfiltered nowadays, but I actually like to have 
> things in the open whether I agree with them or not. It puts more 
> responsibility on the community and the community notes help with that.

This would be fine without algorithmic promotion of posts and accounts. But 
with a system that adjusts visibility of messages in a way that is both opaque 
and akin to a popularity contest, can we really expect the community to 
self-regulate?

Guillaume


On 6 Dec 2023, at 08:56, Robbie Joosten 
<robbie_joos...@hotmail.com<mailto:robbie_joos...@hotmail.com>> wrote:

Hi David,

Thank you for the Mastodon links. I like the idea of Mastodon, but many servers 
do blanket bans against other servers, particularly if these are very 
libertarian (e.g. have too much "Freeze Peach"). Your Mastodon 'heritage' seems 
to matter a lot. Nevertheless, it's good to see that engagement is growing. I 
find LinkedIn mostly useful for broadcasting, not really for engagement, so not 
really an X alternative.

Personally, I think it is a shame so many scientists left Twitter/X (or said 
they did/would). Especially if this is for activistic reasons. Yes, it is quite 
unfiltered nowadays, but I actually like to have things in the open whether I 
agree with them or not. It puts more responsibility on the community and the 
community notes help with that. Purely scientific posts don't seem to suffer 
from the new management and your timeline keeps having useful stuff as long if 
you actually engage with (not just follow) users of interest. I do use Twitter 
as a private person, not on behalf of my work. I wonder if that makes a 
difference to my experience.

It is important to note that many X alternatives are not available in the EU to 
avoid regulations (says something about those platforms). That makes Mastodon 
and X the only real options. That is, far behind the CCP4bb.

Cheers,
Robbie



-----Original Message-----
From: CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK>> 
On Behalf Of David
Briggs
Sent: Wednesday, December 6, 2023 08:19
To: CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK>
Subject: Re: [ccp4bb] Alternatives to X

Hi all,

I did a little (and entirely unscientific) test on this with one of our recent 
papers.

Views : Linkedin came out on top.

Engagement from other scientists : Mastodon.

X didn't really do much, last I checked.

There is a structural biology community on Mastodon and there are several
servers (a.k.a instances) that are science themed...

at_struct_dot_bio
at_mstdn_dot_science
at_biologists_dot_social
at_cryoEM_dot_social
at_qoto_dot_org
at_fediverse_dot_science

Some suppliers are beginning to appear (e.g. Quantifoil) and there is a
structural biology Mastodon group (struc...@a.gup.pe<mailto:struc...@a.gup.pe>) 
that acts a bit like a
distribution list.

Hth,

Contact me off list if I can help get you started.

Dave
@xtald...@xtaldave.net<mailto:xtald...@xtaldave.net>

(Apologies if anyone got this twice - the original was pinged back as it tripped
the spam filter, presumably the list of servers)





Dr David C. Briggs CSci MRSB

Principal Laboratory Research Scientist

Signalling and Structural Biology Lab

The Francis Crick Institute

London, UK

==

about.me/david_briggs<http://about.me/david_briggs> 
<http://about.me/david_briggs>

________________________________

From: CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK>> 
on behalf of Marc
Graille <marc.grai...@polytechnique.edu<mailto:marc.grai...@polytechnique.edu>>
Sent: Wednesday, December 6, 2023 6:33:06 AM
To: CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK> 
<CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK>>
Subject: [ccp4bb] Alternatives to X


External Sender: Use caution.

Dear colleagues,

I take advantage of Tim's message about the fact that responsible people have
resigned from X.
I  really enjoyed Twitter (which I discovered rather late) because it was a 
great
tool for announcing news from my laboratory, but also for keeping abreast of
recent publications or pre-publications related to my research interests.
I notice that many scientists have deserted X in recent months.

Can anyone suggest user-friendly alternatives used by the scientific
communities to announce recent publications or news in their fields?

Best wishes,

Marc
—
Marc GRAILLE, PhD
DR1-CNRS
Laboratoire de Biologie Structurale de la Cellule  (BIOC; Ex-Laboratoire de
Biochimie)
UMR7654 du CNRS


Head of the team: “Translation and degradation of eukaryotic mRNAs”


ÉCOLE POLYTECHNIQUE
91128 PALAISEAU CEDEX
FRANCE
📞: +33 (0)1 69 33 48 90



: marc.grai...@polytechnique.edu<mailto:marc.grai...@polytechnique.edu> 
<mailto:marc.grai...@polytechnique.edu>  /
Twitter : @GrailleLab <https://twitter.com/GrailleLab>
https://portail.polytechnique.edu/bioc/en/research/coupling-between-
translation-and-mrna-degradation-eukaryotes
—




     Le 2 déc. 2023 à 10:15, Tim Grüne 
<tim.gru...@univie.ac.at<mailto:tim.gru...@univie.ac.at>
<mailto:tim.gru...@univie.ac.at> > a écrit :

     Hi Mark,
     responsible people are resigning from X.
     Cheers,
     Tim

     Am 01.12.2023 23:24, schrieb Mark J. van Raaij:


             just came across this critique of that paper on Twitter:
             This exciting paper shows AI design of materials, robotic
synthesis.
             10s of new compounds in 17 days. But did they? This paper has
very
             serious problems in materials characterisation. In my view it
should
             never have got near publication. Hold on tight let's take a look
😱
             [1]
             Robert Palgrave (@Robert_Palgrave) on X [1]
             twitter.com<http://twitter.com/> <http://twitter.com/>  [1]
             but I'm not enough of an expert to judge - perhaps some
             characterizations were wrong and a lot of the paper does
stand.


                     On 1 Dec 2023, at 20:51, Bryan Lepore
<bryanlep...@gmail.com<mailto:bryanlep...@gmail.com> 
<mailto:bryanlep...@gmail.com> > wrote:
                     Adding to that literature list a bit outside :
                     Merchant, A., Batzner, S., Schoenholz, S.S. _et al._
                     Quote:
                     "... we show that graph networks trained at scale can
reach
                     unprecedented levels of generalization, improving the
efficiency of
                     materials discovery by an order of magnitude. "
                     Scaling deep learning for materials discovery.
                     _Nature_ (2023), November
                     https://doi.org/10.1038/s41586-023-06735-9


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     --
     --
     Tim Gruene
     Head of the Centre for X-ray Structure Analysis
     Faculty of Chemistry
     University of Vienna

     Phone: +43-1-4277-70202

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