Darren Dahly. (2021, February 24). @SciBeh One thought is that we generally don’t ‘press’ strangers or even colleagues in face to face conversations, and when we do, it’s usually perceived as pretty aggressive. Not sure why anyone would expect it to work better on twitter. Https://t.co/r94i22mP9Q [Tweet]. @statsepi. https://twitter.com/statsepi/status/1364482411803906048

Ryan McNamara 🧬 on Twitter. (n.d.). Twitter. Retrieved 19 February 2021, from https://twitter.com/Ryan_Mac_Phd/status/1361435791004758018

Nuzzel has been one of the few apps I've truly loved. It's been great for discovery. It's one of the very few I use every day and it's one of only three apps that I allow to give me notifications on my phone.

I'm devastated....

Their care for the communities and the journalists and creators that serve them is not isolated to the people who are explicitly paid to care about such things. That sense of service permeates the whole company. Seeing that has been a unique experience.

Care for the communities? Really?! I'm not so sure here...

However, we’re not moving fast enough.

I'm also a bit reticent about the We're not moving fast enough part. Sure we need to help out journalists, but usually moving fast in the social space has been a disservice to the user.

I love all of these ideas. It's all-around edifying!

This looks interesting, but not quite sure where they may be going. Looks like a company that Twitter has bought out.

Broniatowski, D. A., Jamison, A. M., Qi, S., AlKulaib, L., Chen, T., Benton, A., Quinn, S. C., & Dredze, M. (2018). Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate. American Journal of Public Health, 108(10), 1378–1384. https://doi.org/10.2105/AJPH.2018.304567

Walter, D., Ophir, Y., & Jamieson, K. H. (2020). Russian Twitter Accounts and the Partisan Polarization of Vaccine Discourse, 2015–2017. American Journal of Public Health, 110(5), 718–724. https://doi.org/10.2105/AJPH.2019.305564

Yang, K.-C., Pierri, F., Hui, P.-M., Axelrod, D., Torres-Lugo, C., Bryden, J., & Menczer, F. (2020). The COVID-19 Infodemic: Twitter versus Facebook. ArXiv:2012.09353 [Cs]. http://arxiv.org/abs/2012.09353

PrameelaApr. 15, S. E., 2021, & Pm, 2:00. (2021, April 15). As a Ph.D. student, sharing my perspective on social media felt scary—But it’s worth it. Science | AAAS. https://www.sciencemag.org/careers/2021/04/phd-student-sharing-my-perspective-social-media-felt-scary-it-s-worth-it

twitter feed

Custom CSS to make Twitter write-only! How awesome is this?

I thought that these sorts of tools had been abandoned by Twitter's API?

You cannot practice public health without engaging in politics. (2021, March 29). The BMJ. https://blogs.bmj.com/bmj/2021/03/29/you-cannot-practice-public-health-without-engaging-in-politics/

Here is the place for awe-inspiring numbers.

Lindow, Mike, David DeFranza, Arul Mishra, and Himanshu Mishra. ‘Scared into Action: How Partisanship and Fear Are Associated with Reactions to Public Health Directives’. PsyArXiv, 12 January 2021. https://doi.org/10.31234/osf.io/8me7q.

Yang, K.-C., Pierri, F., Hui, P.-M., Axelrod, D., Torres-Lugo, C., Bryden, J., & Menczer, F. (2020). The COVID-19 Infodemic: Twitter versus Facebook. ArXiv:2012.09353 [Cs]. http://arxiv.org/abs/2012.09353

I'm not 100% sure I understand where this may go, but it sounds like a fun thing with which to experiment.

Clicking the photo shows a different view with sampling issues that create a different message.

PhD, D. D. (n.d.). Managing scientific discourse on Twitter. Retrieved 5 March 2021, from https://statsepi.substack.com/p/managing-scientific-discourse-on

“Network Hubs :: TMRP Webinar Series.” Accessed March 1, 2021. https://www.methodologyhubs.mrc.ac.uk/about/webinar/.

Ik vraag me af of dat echt zo is. Twitter lijkt meer en meer de plek te worden om je eigen media op te bouwen en het eigen spel te spelen. Er zijn meerdere manieren om het spel te spelen. Toch?

Twitter 宣布了即将推出的两项功能：其一是被称为 Super Follows 的付费功能，类似 Patreon，允许用户对跟随者收费，而跟随者将可以访问额外的内容，这一模式通过 Patreon 平台大获成功，Twitter 此举可能想借此分一份蛋糕，让内容创作者直接对粉丝变现；另一个功能是被称为 Communities 的兴趣组，比如爱猫或喜欢植物的用户可以加入相应的群组，类似功能在社交平台如 Facebook 等都很常见。

Aletti, G., Crimaldi, I., & Saracco, F. (2020). A model for the Twitter sentiment curve. ArXiv:2011.05933 [Physics]. http://arxiv.org/abs/2011.05933

Anderson, Ian, and Wendy Wood. ‘Habits and the Electronic Herd: The Psychology behind Social Media’s Successes and Failures’. PsyArXiv, 23 November 2020. https://doi.org/10.31234/osf.io/p2yb7.

Fukuyama, Barak Richman and Francis. “How to Quiet the Megaphones of Facebook, Google and Twitter.” Wall Street Journal, February 12, 2021, sec. Life. https://www.wsj.com/articles/how-to-quiet-the-megaphones-of-facebook-google-and-twitter-11613068856.

This looks like a cool little UI for tweetstorms. I'd love it better if it had Micropub support.

<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>agentofuser</span> in Micropub Tweetstorm Builder - Apps - Fission Talk (<time class='dt-published'>02/17/2021 22:00:26</time>)</cite></small>

Sanders, J., Tosi, A., Obradović, S., Miligi, I., & Delaney, L. (2021). Lessons from lockdown: Media discourse on the role of behavioural science in the UK COVID-19 response. PsyArXiv. https://doi.org/10.31234/osf.io/dw85a

Birdwatch允许人们识别他们认为有误导性的推文信息，并写下说明，提供信息背景。我们相信这种方法有可能在误导性信息传播时做出快速反应，增加人们信任和有价值的内容。最终，我们的目标是在广泛而多样的贡献者达成共识后，让全球Twitter受众直接在推文上看到注解。

I wonder how much this mini-article about Twitter subscription services may have been in response to Galloway's article last week?

Or will they, as he suggests they do so often, make a head fake to something they might do and then just do nothing (again)?

A synopsis of some of what Twitter has been doing wrong, opportunities squandered, and what it could be doing. Reasonable analysis of what some new competitors are doing to generate value in tangential spaces.

True to some extent, but this also runs into the other problems of the nymwars.

🔥

This is incredibly painful when framed this way.

<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>jeremycherfas </span> in The Capitalist Case for Overhauling Twitter (<time class='dt-published'>02/08/2021 14:14:45</time>)</cite></small>

This may not have anything to do with the topic of mansplaining, but I find it interesting that the author starts out by bringing attention to the fact so many extreme stories "start" on twitter and then continues to comment that she scrolls through twitter to "zone out" or turn her brain off. I believe this is a funny juxtaposition common among anyone with a social media account nowadays.

Archives are only worth their weight in water if interested parties can find what they're looking for. When artifacts aren't gathered and curated into public-facing unities or collections, then history elides them until further notice. These threads are still floating in the sprawl of the Twitterverse, placed into history and drowned out by an ocean of pure, frantic noise. What this piece makes evident to me is the need for restoration: that they need to be resurfaced, preserved, made visible again.

Bor, A., Osmundsen, M., Rasmussen, S. H. R., Bechmann, A., & Petersen, M. (2020, September 24). "Fact-checking" videos reduce belief in but not the sharing of "fake news" on Twitter. https://doi.org/10.31234/osf.io/a7huq

Because the use of hashtags is inline and you can turn regular words into hashtags (and therefor channels), there is no friction to do so.

Hashtags have the added benefit that they won't show up for others if they're not used.

If you look at which hashtags are being used (trending), you get a taxonomy of micro-contexts, ranked by popularity, with which you can navigate Twitter. All from the bottom up.

Twitter's hashtags form a dual purpose. They label a status with a certain tag, telling us something about the intended context of that Tweet.

The ease of which makes it frictionless for anyone to jump into the conversation.

But they also equip an interested eavesdropper with the ability to follow along with a conversation. This idea (at the time this was being discussed at Twitter) was already happening with Flickr and Delicious tags.

Research Twitter growth strat

Elmas, T., Overdorf, R., Akgül, Ö. F., & Aberer, K. (2020). Misleading Repurposing on Twitter. ArXiv:2010.10600 [Cs]. http://arxiv.org/abs/2010.10600

unidad_COVID2019

Aschwanden, C. (n.d.). Debunking the False Claim That COVID Death Counts Are Inflated. Scientific American. Retrieved 21 October 2020, from https://www.scientificamerican.com/article/debunking-the-false-claim-that-covid-death-counts-are-inflated/

Interesting article discussing how innovative uses of technology can be used to engage adult learners. Author discusses social media platforms (Twitter), simulations, and how to leverage an LMS. Rating 3/10

New tool for the early detection of public health threats from Twitter data: Epitweetr. (2020, October 1). European Centre for Disease Prevention and Control. https://www.ecdc.europa.eu/en/news-events/new-tool-early-detection-public-health-threats-twitter-data-epitweetr

Highlighting this sentence on the Highly blog (on Medium) ironically using Hypothes.is. I'm syndicating a copy over to my own website because I know that most social services are not long for this world. The only highlights that live forever are the ones you keep on your own website or another location that you own and control.

RIP Highly. Viva IndieWeb!

I wonder if they might also support Webmentions for commenting along with possibly maintaining their own microblog as they move away from Twitter too.

So it sounds like Twitter isn't driving traffic to his website, but it is providing ideas and news. Given this I would syndicate content to Twitter as easily and quickly as possible, use webmentions to deal with the interactions and then just use the Twitter timeline for reading and consuming and nothing else.

I'll often share articles to Twitter and don't necessarily do a 1-to-1 match of the syndicated copy on Twitter. Usually I'll excerpt a piece that ends up appearing on Twitter with a link back to the article. I generally presuppose that if they're interested, they'll click through and read otherwise they're bookmarking it or sharing the link with others, so those interactions coming back to the original are always fine with me.

This is one of my favorite parts about my website and others supporting Webmention: the conversation is aggregated onto or more closely adjacent to the source. This helps prevent context collapse.

Has anyone made a browser tool for encouraging lateral reading? I'd love a bookmarklet that I could click to provide some highly relevant lateral reading resources for any particular page I'm on.

As I'm thinking about it I definitely went to Twitter for its use as a tool and not for the social or network piece.

Want to see what your Twitter timeline would've looked like 10 years ago today, if you followed all the same people you do now? https://t.co/41a6iQcYhc

— Andy Baio (@waxpancake) May 24, 2018

For the social status conscious these two services definitely created a layer of interesting discovery to the service that it hadn't had before.

Some interesting UI clues here that either help or hamper social networks

This is important because even well meaning and thoughtful platforms like micro.blog could have bad actors once they reach scale. Working on this separate and broader issue can mitigate those eventualities.

Wow! This is a damning statement. It certainly makes me rethink staying on the platform.

Is this because it makes it easier for misdirection and outright lies to reach an audience without being checked and verified? Very likely.

I spent some time trying to figure this out. It's not as hard as I would have presumed to thread comments between WordPress and Twitter. https://boffosocko.com/2018/07/02/threaded-conversations-between-wordpress-and-twitter/

I do wish I had an automated way to write the comment on my site and syndicate it to Twitter automatically and have the threading work properly. For now I'm doing it manually--the few times I do do it.

Some good general advice...

Perhaps he's unaware of it, but this sounds a lot like the design decisions that micro.blog has made in it's platform which is very similar to DoOO, but for the broader public.

Aaron, to change the famous quote, "It's not the number of characters (140 or 280), but the content of your character that define you." I far prefer reading your links, analysis, and even thought leadership here to people I've never met on twitter with thousands of followers.

Another example of someone regularly deleting their tweets at regular intervals. I've seem a few examples of this in academia.

There's something that just feels so wrong in this article about tagging and the blogosphere that has a pullquote meant to encourage one to Tweet the quote.

You can only say this because I suspect you're comparing it to platforms that are massively larger by many orders of magnitude. You can't compare it to Twitter or Facebook yet. In fact, if you were to compare it to them, then it would be to their early versions. Twitter was very technophilic for almost all of it's first three years until it crossed over into the broader conscious in early 2009.

Your argument is somewhat akin to doing a national level political poll and only sampling a dozen people in one small town.

If we look at Twitter as a worldwide annotation tool which is generating metadata on a much tinier subset of primary documents (some of which are not truthful themselves), this seems to bear out in that setting as well.

ref: Kalir & Garcia in Annotation

This section highlights why relying on algorithmic feeds in social media platforms like Facebook and Twitter can be toxic. Your feed is full of what they think you'll like and click on instead of giving you the choice.

I can now see why @jack made his Twitter announcement this morning. If he opens up and can use that openness to suck up more data, then Twitter's game could potentially be doing big data and higher end algorithmic work on even much larger sets of data to drive eyeballs.

I'll have to think on how one would "capture" a market this way, but Twitter could be reasonably poised to pivot in this direction if they're really game for going all-in on the idea.

It's reasonably obvious that Twitter has dramatically slowed it's growth and isn't competing with some of it's erstwhile peers. Thus they need to figure out how to turn a relatively large ship without losing value.

I like their idea about Twitter being an annotation tool and to some extent it is, and a good one at that. However, we still need to address the distribution mechanism and the fact that Tweets like this are often bereft of context and cause context collapse.

Quote tweets and dunking mechanisms would be interesting to study in this context, particularly in a world where people often delete tweets (dunked or not) which means the original context is gone or missing and we're only left with an orphaned annotation.

Other cultural examples of missing context include commentary for live sporting or cultural events like the Super Bowl, World Series, World Cup Soccer, or the Academy Awards. Watchers will comment on something in real time (often even without an identifying or contextualizing hashtag, eg: #Oscars19), supposing an implied context from their audience, but later generations will be at odds to find or re-complete the original context.

Awesomely, this sounds almost exactly like something that David Fahrenthold would tell Jay Rosen about Twitter nearly 16 years later in an interview in The Correspondent.

https://boffosocko.com/2017/11/27/pull-up-a-chair-1-jay-rosen-david-fahrenthold-the-correspondent/