/the information dilemma_

A 17-tweet summary of my academic contribution to the #KidneyWk 2021 meeting.
@ASNKidney: Thanks for selecting my work for presentation...I appreciate it.
2
My disclosures
I am a physician-programmer. I analyze #SoMe data, with a keen focus on Twitter. I primarily analyze tweets in #NephTwitter and #CardioTwitter, and I have analyzed tweets for Oncology and Endocrinology organizations as well.
3
We face an information dilemma we face in medical communities. The dilemma originates from customized search results. How can anything customized *to/for you* be a negative?
It's negative when ≥2 people are searching for the same thing (the truth) & getting different results.
4
The schematic below shows the difference between standard and customized search. In the former, your search results are based exclusively on their relevance to your query. If ≥2 people make the same query, they get 1) the same results in 2) the same hierarchical order.
5
In customized search, the results are not based exclusively on their pertinence to your query. The results are a) filtered and b) reshuffled. In the end, ≥2 people who make an identical query will be presented with different search results in a different hierarchical order.
6
Why does this happen? Because results are shown to you based on what an algorithm predicts you will *engage* with the most. Customized search uses *engagement-based ranking* to present results in a particular order to you. Your pattern of RTs ❤️👍💭 determines...
7
...what results you see & the order in which you see them. The results you see aren't presented to you because of their relevance to your search query, but rather because they are highly predicted to stimulate engagement from you.
8
Naturally, ≥2 people making an identical query will be shown 2 sets of results in a unique order. Repeat this scenario over-and-over and you create groups of people who possess *a different* set of facts. Customized search results is the fuel for the developing the above.
9
Here are 2 experiments that I conducted (you can as well). These are 2 Twitter accounts owned by me. I made an identical search query in both accounts: on the same date, minutes apart, from the same location, and using the same device.
10
I received different results in a different order. This shouldn't happen. And although I am displaying the first 3 search results, I can drag this out to the first 25-35 results and the outcome is the same: different search results presented in a different hierarchical order.
11
How do we mitigate the perils of customized search?
Contrary to popular belief, the solution to this pollution is not dilution. You cannot defeat the negative effects of an algorithm(s) by using brute human force and create quality/reliable/accurate medical content.
12
In the battle of human effort versus algorithm efficiency, the latter will win.
Every. Single. Time.

We need to write our own algorithms that restore search back to the standardized form.

This Superman III reference is apropos:
13
So I did. After 24 months of learning how to program a search engine and sitting on a wealth of #NephTwitter and #CardioTwitter scientific tweets from 2011, I created NephTwitterArchive.com. It is a search engine that *doesn't* collect any of your data.
14
NephTwitterArchive.com translates all scientific tweets into English. It is agnostic to who you are and how you interact with content. Results are displayed based only on pertinence to your query. It's free without any ads or sponsors.
15
I launched it in 10/2019 without any advertising or 3rd-party promotion. From 10/2019-9/2021, a total of 37K searches have been completed. A *completed search* has a strict definition (see image).
16
Interestingly, 42% of users visited NephTwitterArchive.com immediately *after* visiting Twitter or Facebook. Perhaps they didn't find what they were looking for on those platforms. Perhaps they knew/had a feeling that the results they were seeing wasn't the whole picture.
17
In conclusion, place a value on standardized search when it comes to finding scientific truth. Don't trust customized search engines in their entirety. Cross-reference search results from #SoMe platforms with NephTwitterArchive.com to be sure you have the full picture.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Tᴇᴊᴀs Dᴇsᴀɪ, MD

Tᴇᴊᴀs Dᴇsᴀɪ, MD Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @nephondemand

19 Mar
Happening now at #RPA21:
The Challenges of Social Media Education: A data-driven specialty-specific introspection

rpa2021.onlineeventpro.freeman.com/live-stream/19…

I'm live on the RPA platform and Twitter for your questions Image
1/#rpa21
My disclosures

I created Nephrology On-Demand in 2010

I launched @NODanalytics in 2015

I made @NODanalytics free for educational use in 2018

I created NephTwitterArchive.com to mitigate the perils of customized search

goo.gl/mfziXG Image
2/#rpa21
Many specialties are gravitating to Twitter for education & learning.
Some are more advanced than others; it is very evident that #NephTwitter is far more advanced than other specialties: longer experience w/#SoMe education & more offerings. Image
Read 40 tweets
9 Nov 19
1/ Welcome to the Saturday Poster session at #KidneyWk. On behalf of Hector and Edgar, I’d like to welcome you to our tweet thread on • Gender disparities in #SoMe and #MedEd•. You can view our poster (&🗣w/us) live TODAY from 10-12 PM (#27) or learn more about our work below
2/ #SoMe is exploding in medicine & #Nephrology leads the way in many metrics & most certainly in #SoMe research. Many #SoMe *users* are becoming active #SoMe *educators* & share valuable educational information to the larger online community.
datastudio.google.com/u/0/reporting/…
#KidneyWk
3/ Concurrently, there is a greater push to equalize the way we share knowledge. Gender is an area in need of equalization. More men than women are offered presenting &/or moderating opportunities. This imbalance negatively effects both female *and* male learners. #KidneyWk
Read 19 tweets
4 Aug 19
Medical visualizations (vizs; #visualAbstract, #infographic, or #graphicalAbstract) are ⬆︎popular. In this tweetorial I'm going to detail how I make vizs to help you in your #meded/#FOAMed endeavors. Here's my portfolio for background: twitter.com/i/moments/1057…
There are four large domains that I consider when making a viz: Design, Structure, Content, and Textual Context (mostly in the parent tweet).
Let's go through each of these and discuss various facets that one might want to consider when designing a medical viz
Design: Audience
Know your audience, particularly if your audience is one that *doesn't* have access to the article that inspired your viz. If they don't, then recognize that your viz may be the 1st and only exposure to the science that the reader will have.
Read 22 tweets
27 Oct 18
•PLEX in ANCA vasculitis @ #kidneywk 1/n
"pheresis" = remove forcibly
1914: PLEX used to treat toxemia
1970s: PLEX reported to be used to treat Goodpasture's syndrome
•PLEX in ANCA vasculitis @ #kidneywk 2/n
PLEX comes in 2 modalities: filtration (blood pumped through a filter) and centrifugation (blood separated into components and then the selected component is aspirated)
•PLEX in ANCA vasculitis @ #kidneywk 3/n
Filtration: certain size molecules excluded, requires central vein access, requires heparin (systemic anticoagulation)
Centrifugation: no size restrictions, lower blood flow and can use a peripheral vein access, can use citrate
Read 16 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!

:(