Read Protocols, Not Platforms: A Technological Approach to Free Speech by Mike Masnick (knightcolumbia.org)
Altering the internet's economic and digital infrastructure to promote free speech

Meanwhile, politicians from the two major political parties have been hammering these companies, albeit for completely different reasons. Some have been complaining about how these platforms have potentially allowed for foreign interference in our elections.3 3. A Conversation with Mark Warner: Russia, Facebook and the Trump Campaign, Radio IQ|WVTF Music (Apr. 6, 2018), https://www.wvtf.org/post/conversation-mark-warner-russia-facebook-and-trump-campaign#stream/0 (statement of Sen. Mark Warner (D-Va.): “I first called out Facebook and some of the social media platforms in December of 2016. For the first six months, the companies just kind of blew off these allegations, but these proved to be true; that Russia used their social media platforms with fake accounts to spread false information, they paid for political advertising on their platforms. Facebook says those tactics are no longer allowed—that they’ve kicked this firm off their site, but I think they’ve got a lot of explaining to do.”). Others have complained about how they’ve been used to spread disinformation and propaganda.4 4. Nicholas Confessore & Matthew Rosenberg, Facebook Fallout Ruptures Democrats’ Longtime Alliance with Silicon Valley, N.Y. Times (Nov. 17, 2018), https://www.nytimes.com/2018/11/17/technology/facebook-democrats-congress.html (referencing statement by Sen. Jon Tester (D-Mont.): “Mr. Tester, the departing chief of the Senate Democrats’ campaign arm, looked at social media companies like Facebook and saw propaganda platforms that could cost his party the 2018 elections, according to two congressional aides. If Russian agents mounted a disinformation campaign like the one that had just helped elect Mr. Trump, he told Mr. Schumer, ‘we will lose every seat.’”). Some have charged that the platforms are just too powerful.5 5. Julia Carrie Wong, Up Big Tech: Elizabeth Warren Says Facebook Just Proved Her Point, The Guardian (Mar. 11, 2019), https://www.theguardian.com/us-news/2019/mar/11/elizabeth-warren-facebook-ads-break-up-big-tech (statement of Sen. Elizabeth Warren (D-Mass.)) (“Curious why I think FB has too much power? Let’s start with their ability to shut down a debate over whether FB has too much power. Thanks for restoring my posts. But I want a social media marketplace that isn’t dominated by a single censor. .”). Others have called attention to inappropriate account and content takedowns,6 6. Jessica Guynn, Ted Cruz Threatens to Regulate Facebook, Google and Twitter Over Charges of Anti-Conservative Bias, USA Today (Apr. 10, 2019), https://www.usatoday.com/story/news/2019/04/10/ted-cruz-threatens-regulate-facebook-twitter-over-alleged-bias/3423095002/ (statement of Sen. Ted Cruz (R-Tex.)) (“What makes the threat of political censorship so problematic is the lack of transparency, the invisibility, the ability for a handful of giant tech companies to decide if a particular speaker is disfavored.”). while some have argued that the attempts to moderate discriminate against certain political viewpoints.

Most of these problems can all fall under the subheading of the problems that result when social media platforms algorithmically push or accelerate content on their platforms. An individual with an extreme view can publish a piece of vile or disruptive content and because it’s inflammatory the silos promote it which provides even more eyeballs and the acceleration becomes a positive feedback loop. As a result the social silo benefits from engagement for advertising purposes, but the community and the commons are irreparably harmed.

If this one piece were removed, then the commons would be much healthier, fringe ideas and abuse that are abhorrent to most would be removed, and the broader democratic views of the “masses” (good or bad) would prevail. Without the algorithmic push of fringe ideas, that sort of content would be marginalized in the same way we want our inane content like this morning’s coffee or today’s lunch marginalized.

To analogize it, we’ve provided social media machine guns to the most vile and fringe members of our society and the social platforms are helping them drag the rest of us down.

If all ideas and content were provided the same linear, non-promotion we would all be much better off, and we wouldn’t have the need for as much human curation.

Annotated on December 11, 2019 at 11:13AM

That approach: build protocols, not platforms.

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.

Annotated on December 11, 2019 at 11:20AM

It would allow end users to determine their own tolerances for different types of speech but make it much easier for most people to avoid the most problematic speech, without silencing anyone entirely or having the platforms themselves make the decisions about who is allowed to speak.

But platforms **are **making **huge **decisions about who is allowed to speak. While they’re generally allowing everyone to have a voice, they’re also very subtly privileging many voices over others. While they’re providing space for even the least among us to have a voice, they’re making far too many of the worst and most powerful among us logarithmic-ally louder.

It’s not broadly obvious, but their algorithms are plainly handing massive megaphones to people who society broadly thinks shouldn’t have a voice at all. These megaphones come in the algorithmic amplification of fringe ideas which accelerate them into the broader public discourse toward the aim of these platforms getting more engagement and therefore more eyeballs for their advertising and surveillance capitalism ends.

The issue we ought to be looking at is the dynamic range between people and the messages they’re able to send through social platforms.

We could also analogize this to the voting situation in the United States. When we disadvantage the poor, disabled, differently abled, or marginalized people from voting while simultaneously giving the uber-rich outsized influence because of what they’re able to buy, we’re imposing the same sorts of problems. Social media is just able to do this at an even larger scale and magnify the effects to make their harms more obvious.

If I follow 5,000 people on social media and one of them is a racist-policy-supporting, white nationalist president, those messages will get drowned out because I can only consume so much content. But when the algorithm consistently pushes that content to the top of my feed and attention, it is only going to accelerate it and create more harm. If I get a linear presentation of the content, then I’d have to actively search that content out for it to cause me that sort of harm.

Annotated on December 11, 2019 at 11:39AM

Moving back to a focus on protocols over platforms can solve many of these problems.

This may also only be the case if large corporations are forced to open up and support those protocols. If my independent website can’t interact freely and openly with something like Twitter on a level playing field, then it really does no good.

Annotated on December 11, 2019 at 11:42AM

And other recent developments suggest that doing so could overcome many of the earlier pitfalls of protocol-based systems, potentially creating the best of all words: useful internet services, with competition driving innovation, not controlled solely by giant corporations, but financially sustainable, providing end users with more control over their own data and privacy—and providing mis- and disinformation far fewer opportunities to wreak havoc.

Some of the issue with this then becomes: “Who exactly creates these standards?” We already have issues with mega-corporations like Google wielding out sized influence in the ability to create new standards like Schema.org or AMP.

Who is to say they don’t tacitly design their standards to directly (and only) benefit themselves?

Annotated on December 11, 2019 at 11:47AM

👓 How WhatsApp Destroyed A Village | BuzzFeed

Read How WhatsApp Destroyed A Village (BuzzFeed News)
In July, residents of a rural Indian town saw rumors of child kidnappers on WhatsApp. Then they beat five strangers to death.
This was a really well researched and laid out piece of journalism. Social companies are going to need some serious government regulation to help fix issues like these. They obviously can’t be trusted to self-regulate.

👓 White House distances itself from reports that Trump could target Facebook, Google and Twitter with a new executive order | Washington Post

Read White House distances itself from reports that Trump could target Facebook, Google and Twitter with a new executive order by Tony Romm and Josh Dawsey (Washington Post)

Trump slams Google for 'RIGGED' results

The White House sought to dis­tance it­self Sat­ur­day from re­ports that President Trump is con­sid­er­ing an ex­ec­u­tive ord­er that would sub­ject tech giants like Facebook, Goo­gle and Twitter to federal in­ves­ti­gat­ions into al­leged po­lit­i­cal bias.

For weeks, top tech com­panies have been on edge, fear­ing that the Trump ad­min­is­tra­tion could seek to regu­late the in­dus­try in re­sponse to the president’s tweets at­tack­ing so­cial media sites for si­len­cing con­ser­va­tives online. Their worst sus­pi­cions seemed to come true Fri­day night, with the e­mer­gence of a draft ex­ec­u­tive ord­er that called for near­ly every federal a­gen­cy to study how com­panies like Facebook police their plat­forms and re­fer in­stan­ces of “bias” to the Justice Department for further study.

👓 The Expensive Education of Mark Zuckerberg and Silicon Valley | Kara Swisher for New York Times

Read Opinion | The Expensive Education of Mark Zuckerberg and Silicon Valley by Kara SwisherKara Swisher (nytimes.com)
They have weaponized social media, and we are all paying the price.
I’m definitely just biding my time until their export feature improves. Then I’m moving out of this toxic space.

I still find it interesting that no one seems to be taking him to either enough task or calling him out on potential political bids. He could very easily and quickly use the platform to drastically reshape the political scenery in America and around the world.

Aside: Interesting to note that Kara Swisher’s byline here doesn’t have a link on it, even to a default NY Times page for her.

👓 How regulators can prevent excessive concentration online – A new school in Chicago | The Economist

Read How regulators can prevent excessive concentration online (The Economist)
Conventional antitrust thinking is being disrupted from within

It is not the data that are valuable, he says, but the services powered by them. Some firms are just better at developing new offerings than others.  

So big piles of data can become a barrier to competitors entering the market, says Maurice Stucke of the University of Tennessee.  

“When feedback data from large players is available to smaller competitors, then innovation…is not concentrated at the top,” he argues in “Reinventing Capitalism in the Age of Big Data”, a new book co-written with Thomas Ramge, a journalist.  

This sounds like something which could be worth reading.

👓 12 Things Everyone Should Understand About Tech | Anil Dash

Read 12 Things Everyone Should Understand About Tech by Anil Dash (Anil Dash)
Tech is more important than ever, deeply affecting culture, politics and society. Given all the time we spend with our gadgets and apps, it’s essential to understand the principles that determine how tech affects our lives.
One of the more important things I’ve read in the past month. This short article should be required reading for every lawmaker in the land (and everyone else for that matter). Thanks Anil!

BIRS Workshop: Advances and Challenges in Protein-RNA: Recognition, Regulation and Prediction (15w5063)

Bookmarked 15w5063: Advances and Challenges in Protein-RNA: Recognition, Regulation and Prediction (Banff International Research Station | birs.ca)
BIRS 5 day worksop, arriving in Banff, Alberta Sunday, June 7 and departing Friday, June 12, 2015

In the years since the first assembly of the human genome, the complex and vital role of RNA and RNA binding proteins in regulation of the genome expression has expanded through the discovery of RNA-binding proteins and large classes of non-coding RNA that control many developmental decisions as part of protein- RNA complexes. Our molecular level understanding of RNA regulation has dramatically improved as many new structures of RNA–protein complexes have been determined and new sophisticated experimental technologies and dedicated computational modeling have emerged to investigate these interactions at the whole-genome level. Further deep insight on the molecular mechanisms that underline genome expression regulation is critical for understanding fundamental biology and disease progression towards the discovery of new approaches to interfere with disease progression.

The proposed workshop will bring together experts in RNA biology with structural biologists that focus on RNA-protein complexes, as well as computational biologists who seek to model and develop predictive tools based on the confluence of these experimental advances. The workshop intends to foster new collaborations between experimental and computational biologists and catalyze the development of new and improved technologies (such as single cell binding methods) that merge experimental analysis with novel mathematical and computational techniques to better understand the rules of protein-RNA recognition and RNA-based biological regulation.

The organizers of the workshop are both leaders in the field of protein-RNA recognition and interactions: Yael Mandel-Gutfreund has been working in the field of protein-Nucleic Acids interactions since 1994. Her main research interest is protein-RNA recognition and regulation. She has developed several tools and web servers for predicting RNA binding proteins and RNA binding motifs. Yael is the head to the computational molecular laboratory at the Technion and the president of the Israeli society of Bioinformatics and Computational Biology. Gabriele Varani has been working in the field of RNA structure and protein-RNA interactions since 1987. His main research interest is the structural basis for protein-RNA recognition and the prediction and design of RNA-binding proteins. He determined some of the first few structures of protein-RNA complexes and developed computational tools to analyze and predict the specificity of RNA -binding proteins. His group applies these tools to design RNA-binding proteins with new specificity to control gene expression. Our invitation to participate in the workshop has been met with great enthusiasm by the researchers. More than 20 principle investigators have already confirmed their interest in attending. Six of the confirmed participants are female scientists including the organizer Yael Mandel-Gutfreund as well as Traci Hall, Lynne Maquat, Elena Conti, Susan Jones, Drena Dobbs. We also have invited and confirmed the participation of young and promising researchers including Markus Landthaler, Gene Yeo, Jernej Ule, Uwe Ohler and others. Our confirmed participants come from many different countries: US, Canada, UK, Scotland, Germany, Spain, Switzerland, Poland and Israel. Two confirmed participants as well as the organizer have attended the BIRS workshops in the past.

A key objective of the workshop is to bring together researchers with experimental, mathematical and computational background to share results and discuss the main advances and challenges in the prediction, analysis and control of RNA-protein recognition and RNA-based regulation of gene expression. Towards this aim, we plan to adopt the format of previous BIRS meetings in which invited participants (including selected students) will present relatively short presentations of 20 minutes plus 10 minutes of active discussions. This format will leave aside ample time for informal discussions to foster exchanges between participants. To stress the collaborative, multidisciplinary nature of the workshop, we plan to dedicate each of the workshop sessions to a specific topic that will comprise presentations of structural, experimental and computational approaches, rather than create session focused on a particular approach. Each session we will include at least one lecture from a young scientist/postdoctoral fellow/student to be chosen among attendees by the organizers.

Suggested preliminary schedule:

  • Day 1: Modeling and high throughput approaches to genome-wide analysis of protein-RNA interactions
  • Day 2: Predicting and designing new RNA binding proteins
  • Day 3: Generating and modeling RNA-based regulatory networks
  • Day 4: Principles of RNA regulation by RNA binding proteins
  • Day 5: Conclusion round table discussion on the present and future challenges of the field