We’ve spent the last ten months building #CitizenBrowser, a project that aims to peek inside the Black Box of social media algorithms, by building a nationwide panel to share data with us. Today, we are publishing our first story from the project. /1

.@corintxt crunched the numbers and found that after Facebook flipped the switch for political ads, partisan content elbowed out reputable news outlets in our panelists’ news feeds. https://t.co/Z0kibSBeQZ /2
You can learn more in our methodology, where we describe how we did this and what steps we took to ensure that we preserved the panelists' privacy. https://t.co/UYbTXAjy5i /3
Personally, this project is the culmination of years of experiments trying to figure out how to collect data from social media platforms in a way that can lead to meaningful reporting. I’ve described a couple of highlights below 👇 /4
My first attempt was in 2016 at Propublica, when I was working with @JuliaAngwin . We were interested in seeing if there was a difference in the Ad interests FB disclosed to users in their settings and the interests they showed to marketers. /5
We collected the data set of groups FB showed marketers through the FB Ad portal quite easily
but collecting what they showed to users was a non-trivial problem. /6
In order to collect this data I built a browser extension that let readers share their data with us. We released this as a part of @propublica’s Breaking The Black Box series. https://t.co/OD4A61n8WN /7
Sadly, this extension no longer works, but the 52k categories we collected from volunteers are still available to download. https://t.co/qslgqE5nJt /8
It was during this investigation that we first learned about the now infamous ‘ethnic affinity’ ad categories on Facebook. https://t.co/C0A1I0pMG1 /9
The second attempt was with @kashhill at Gizmodo investigating how Facebook's People You May Know algorithm suggested people to befriend. /10
Since FB doesn’t have an API for this service. I built a tool that allowed people to collect all the friends' suggestions Facebook made to them on a daily basis. If they found something interesting they could share it with us. https://t.co/d2e3PheugZ /11
Facebook wasn’t happy about our tool and asked us to take it down. To this day there is no easy way for users to get their friend suggestions data from Facebook. https://t.co/n83p5zS7SM /12
#CitizenBrowser is the next step in this journey. We built an app that we paid panelists to install, which collects data from their Facebook feeds at regular intervals. /13
It’s an ambitious experiment. But given that there is no other way to see what is happening on this important platform, we gave it our best shot. Grateful for @JuliaAngwin and @nabihasyed's fearless leadership that allowed us to push the limits. /14
Also grateful for our team, who just ran a marathon at sprint speed to get this project done! @angiewaller @leonyin @corintxt @jonkeegan @sammorrisdesign @mynameisfiber @magiccia @cortesi @jeffcrouse @iaaaan @rinapalta @simplysecureorg /eof

More from Internet

Many conversations happening on #WhatsApp (WA) groups about new #WhatsAppPrivacyPolicy .
This thread has arguments to help ditch WA & move to @signalapp:
https://t.co/En4fe9VxUN
Share, use, copy-paste, modify with understanding as you deem fit on any platform in whole or part
1/n

Note: No affiliations, conflict of interest
Info presented with NO bias, prejudice, malice or indemnity.
Open to corrections: individual tweets may be deleted, tweets added to thread or corrected as replies.
Points that are unclear or uncertain are marked with "(?)".
2/n

CONTENT OF WA MESSAGES SHALL REMAIN ENCRYPTED END TO END.
BUT, there's data: contacts, group affiliations, co-affiliations, locations (live?), frequency of contacts, *tags* generated when we send or forward a message or file to contacts or groups, links, clicks on links, etc.
3/n

It is unclear whether this data is anonymized.
NOTHING in latest policy *prevents* the collection, retention, sharing or sale by FaceBook (FB: owner of WA) of this data in part or whole whether with identifying information or anonymized.
Meme source:
https://t.co/nMDTUlb0rl
4/n


Companies need to make money & generate profits:
To create software, install & maintain infrastructure.
Google, FB, Insta, Amazon etc sell data created from our content & data generated from our interactions (searches, clicks, purchases etc).
This makes many uncomfortable.
5/n

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MDZS is laden with buddhist references. As a South Asian person, and history buff, it is so interesting to see how Buddhism, which originated from India, migrated, flourished & changed in the context of China. Here's some research (🙏🏼 @starkjeon for CN insight + citations)

1. LWJ’s sword Bichen ‘is likely an abbreviation for the term 躲避红尘 (duǒ bì hóng chén), which can be translated as such: 躲避: shunning or hiding away from 红尘 (worldly affairs; which is a buddhist teaching.) (
https://t.co/zF65W3roJe) (abbrev. TWX)

2. Sandu (三 毒), Jiang Cheng’s sword, refers to the three poisons (triviṣa) in Buddhism; desire (kāma-taṇhā), delusion (bhava-taṇhā) and hatred (vibhava-taṇhā).

These 3 poisons represent the roots of craving (tanha) and are the cause of Dukkha (suffering, pain) and thus result in rebirth.

Interesting that MXTX used this name for one of the characters who suffers, arguably, the worst of these three emotions.

3. The Qian kun purse “乾坤袋 (qián kūn dài) – can be called “Heaven and Earth” Pouch. In Buddhism, Maitreya (मैत्रेय) owns this to store items. It was believed that there was a mythical space inside the bag that could absorb the world.” (TWX)