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Unauditible algorithms are the enemy of social media users

Pattern

Writing about Elon Musk trying to buy Twitter, Dorian Taylor reflects that:

What Twitter does really well is put you on equal footing with people you would otherwise never think to reach out to, and in other contexts, probably wouldn’t give you the time of day. These people put themselves out there to be interacted with, so you have implicit permission to interact with them.

I would say Twitter perhaps used to do this, at least for me. I find these kinds of interaction these days on the Fediverse, where people aren’t trying to please algorithms.

Chris Trottier, someone I have recently started following, wrote a post explaining the difference between interacting in a centralised, algorithm-controlled space, and setting up shop in a decentralised one.

I have managed to attract 35 followers. This is for a fresh new instance barely two weeks old. The network effect is low. There’s no social algorithm pushing my posts because the Fediverse has no algorithms like that.

Likewise, I am nobody particularly notable – just a guy having fun on social media. All anyone sees is pictures of computer games, cassette tapes, food, and stuff from nature walks. In effect, just stuff a typical person would share.

People respond to incentives: if algorithms are set up to reward users who interact in a certain way, then this is what (most) users end up doing. Proof of this comes through behaviours such as like-farming declarative statements on centralised social media, designed to maximise ‘engagement’ with a post.

It’s not so radical to wonder whether, when users of a system are posting things with the intention of ‘going viral’, perhaps authenticity suffers? Are algorithms used by centralised social media serving the needs of the humans using it?

Algorithms that cannot be audited are a feature, not a bug, of centralised social media. They are what provide ‘shareholder value” by allowing advertising content to grab the attention of users, whether they like it or not. These systems are focused on behaviour modification and are not going to change.

Capital, which is what centralised social media serves, loves hierarchy and social stratification. People knowing their place. People having a different experience based on their ability to pay, and, of course, monetising the ‘follower’ dynamic.

The Fediverse is a messy, weird, human place. It reminds me of Twitter in the early days. Everyone on a truly equal footing, being themselves — whatever that happens to be today. The experience isn’t sanitised, or corporate, or algorithmic. And, for me that’s perfect.

The problems with Twitter’s attempts at anti-disinformation in the run-up to the US Presidential election

This week, Twitter published an article summarising the steps they are taking to avoid being complicit in negatively affecting the result of the upcoming US Presidential election:

Twitter plays a critical role around the globe by empowering democratic conversation, driving civic participation, facilitating meaningful political debate, and enabling people to hold those in power accountable. But we know that this cannot be achieved unless the integrity of this critical dialogue on Twitter is protected from attempts — both foreign and domestic — to undermine it.

Vijaya Gadde and Kayvon Beykpour, Additional steps we’re taking ahead of the 2020 US Election (Twitter)

I’m not impressed by what they have come up with; this announcement, coming merely a month before the election, is too little, too late.

Let’s look at what they’re doing in more detail, and I’ll explain why they’re problematic both individually and when taken together as a whole.


There are five actions we can extract from Twitter’s article:

  1. Labelling problematic tweets
  2. Forcing users to use quote retweet
  3. Removing algorithmic recommendations
  4. Censoring trending hashtags and tweets
  5. Increasing the size of Twitter’s moderation team

1. Labelling problematic tweets

We currently may label Tweets that violate our policies against misleading information about civic integrity, COVID-19, and synthetic and manipulated media. Starting next week, when people attempt to Retweet one of these Tweets with a misleading information label, they will see a prompt pointing them to credible information about the topic before they are able to amplify it.

[…]

In addition to these prompts, we will now add additional warnings and restrictions on Tweets with a misleading information label from US political figures (including candidates and campaign accounts), US-based accounts with more than 100,000 followers, or that obtain significant engagement. People must tap through a warning to see these Tweets, and then will only be able to Quote Tweet; likes, Retweets and replies will be turned off, and these Tweets won’t be algorithmically recommended by Twitter. We expect this will further reduce the visibility of misleading information, and will encourage people to reconsider if they want to amplify these Tweets.

Vijaya Gadde and Kayvon Beykpour, Additional steps we’re taking ahead of the 2020 US Election (Twitter)

The assumption behind this intervention is that misinformation is spread by people with a large number of followers, or by a small number of tweets that can a large number of retweets.

However, as previous elections have shown, people are influenced by repetition. If users see something numerous times in their feed, from multiple different people they are following, they assume that there’s at least an element of truth to it.


2. Forcing users to use quote retweet

People who go to Retweet will be brought to the Quote Tweet composer where they’ll be encouraged to comment before sending their Tweet. Though this adds some extra friction for those who simply want to Retweet, we hope it will encourage everyone to not only consider why they are amplifying a Tweet, but also increase the likelihood that people add their own thoughts, reactions and perspectives to the conversation. If people don’t add anything on the Quote Tweet composer, it will still appear as a Retweet. We will begin testing this change on Twitter.com for some people beginning today.

Vijaya Gadde and Kayvon Beykpour, Additional steps we’re taking ahead of the 2020 US Election (Twitter)

I’m surprised Twitter haven’t already tested this approach, as it’s a little close to one of the most important elections in history to be beginning testing now.

However, the assumption behind this approach is that straightforward retweets amplify disinformation more than quote retweets. I’m not sure this is the case, particularly as a quote retweet can be used passive-aggressively, and to warp, distort, and otherwise manipulate information provided by others in good faith.

One of the things that really struck me when moving to Mastodon was that it’s not possible to quote retweet. This is design decision based on observing user behaviour. It’s my opinion that Twitter removing the ability to quote retweet would significantly improve their platform, too.


3. Removing algorithmic recommendations

[W]e will prevent “liked by” and “followed by” recommendations from people you don’t follow from showing up in your timeline and won’t send notifications for these Tweets. These recommendations can be a helpful way for people to see relevant conversations from outside of their network, but we are removing them because we don’t believe the “Like” button provides sufficient, thoughtful consideration prior to amplifying Tweets to people who don’t follow the author of the Tweet, or the relevant topic that the Tweet is about. This will likely slow down how quickly Tweets from accounts and topics you don’t follow can reach you, which we believe is a worthwhile sacrifice to encourage more thoughtful and explicit amplification.

Six years ago, in Curate or Be Curated, I outlined the dangers of social networks like Twitter moving to an algorithmic timeline. What is gained through any increase in shareholder value and attention conservation is lost in user agency.

I’m pleased that Twitter is questioning the value of this form of algorithmic discovery and recommendation during the election season, but remain concerned that this will return after the US election. After all, elections happen around the world all the time, and politics is an everyday area of discussion for humans.


4. Censoring trending hashtags and tweets

[W]e will only surface Trends in the “For You” tab in the United States that include additional context. That means there will be a description Tweet or article that represents or summarizes why that term is trending. We’ve been adding more context to Trends during the last few months, but this change will ensure that only Trends with added context show up in the “For You” tab in the United States, which is where the vast majority of people discover what’s trending. This will help people more quickly gain an informed understanding of the high volume public conversation in the US and also help reduce the potential for misleading information to spread.

Twitter has been extremely careful with their language here by talking about ‘adding’ context for users in the US, rather than taking away the ability for them to see what is actually trending across the country.

If only trends with context will be shown, this means that they are being heavily moderated. That moderation is a form of gatekeeping, with an additional burden upon the moderators of explaining the trending topic in a neutral way.

While I’m not sure that a pure, unfiltered trending feed would be wise, Twitter is walking a very fine line here as, effectively, a news service. Again, as I commented in Curate or Be Curated years ago, there is no such thing as ‘neutrality’ when it comes to news, no ‘view from nowhere’.

Twitter needs to be very careful here not to make things work even worse by effectively providing mini editorials of ongoing news stories.


5. Increasing the size of Twitter’s moderation team

In addition to these changes, as we have throughout the election period, we will have teams around the world working to monitor the integrity of the conversation and take action when needed. We have already increased the size and capacity of our teams focused on the US Election and will have the necessary staffing to respond rapidly to issues that may arise on Twitter on Election night and in the days that follow.

A post on the Twitter blog from last year counted 6.2 million tweets during the EU elections last year. The population of countries making up the EU is only slightly larger than that of the USA, but next month’s election is much more controversial.

In this scenario, Twitter cannot afford (or hire) a moderation large enough to moderate this number of tweets in realtime. As a result, they will have rely on heuristics and the vigilance of users reporting tweets. However, because of the ‘filter bubble’ effect, the chances are that users who would be likely to report problematic tweets may never see them.


In conclusion…

If we step back a little and look at the above with some form of objectivity, we see that Twitter has admitted that its algorithmic timeline is an existential threat to the US election. As a result, it is stepping in to remove most elements of it, and replacing it with a somewhat-authoritarian approach which relies on its moderation team.

From my point of view, this is not good enough. It’s too little, too late, especially when the writing has been on the wall for years — certainly the last four years. I’m deeply concerned about social networks’ role in undermining our democratic processes, and I’d call on Twitter to learn from what works well elsewhere.

For example, on the Fediverse, where I spend more time these days instead of Twitter, developers of platforms and administrators of instances have developed features, policies, and procedures that strike a delicate balance between user agency and disinformation. Much of this comes from a federated architecture, something that I’ve pointed out elsewhere as being much more like how humans interact offline.

This post is already too long to rehash things I’ve discussed at length before, but Twitter has already started looking into how it can become a decentralised social network. In the meantime, I’m concerned that these anti-disinformation measures don’t go far enough.

Seven places I find interesting, relevant and useful stuff in 2015

I started using a new web service yesterday and something dawned on me:  half of the bookmarks in the toolbar of my browser seem to be devoted to similar kinds of sites. I’ve come to see these as a series of ‘sieves’. It’s important to use more than one and experimenting with new ones to prevent rust setting in!

Some of these services may be useful to you, so I thought I’d share them along with a couple of reasons why I find them handy. They’re listed in alphabetical order. If you have questions about them, I’ll try and answer in the comments section below.


hckr news - Hacker News sorted by time 2015-01-20 19-57-03

Hacker News

http://news.ycombinator.com

Possibly a little technical for the average web user, but the front page usually contains some gems. It’s basically a site where anyone can submit a link and it gets up-and-down voted by the community. Because of its focus, there’s often some really insightful comments in the threads. I tend to use an alternative interface (shown above) called hckrnews.com


Know About It

Know About It

http://knwbt.it

Again, this is a tech-focused site, but can be useful for surfacing some important or interesting discussions happening in various forums around the web.


Nuzzel

Nuzzel

http://nuzzel.com

This is my most recent find and is for everyone! You sign in with Twitter and/or Facebook and it curates the links that most of your contacts are talking about. Good for quickly catching up with stuff without having to endlessly scroll through your streams.


Panda

Panda

https://usepanda.com

This is a dashboard with three versions: one each for designers, developers and entrepreneurs. My work kind of spans all three. Or at least it does in my head. 😉


Product Hunt

Product Hunt

http://producthunt.com

This is perhaps the site I most look forward to visiting. It’s like other sites in that items can be posted and voted up and down. However, these tend to be niche startups (extremely niche in some cases!) that you otherwise might not hear about.


reddit

Reddit

https://reddit.com

If you haven’t heard of Reddit then you’re either technically dead, have a moist under-rock home, or haven’t been online long enough. It’s the self-styled ‘front page of the internet’ and there’s always a ‘subreddit’ to find interesting. Can be a time-suck. A couple of my favourites are /r/todayilearned/ and /r/explainlikeimfive/.


Zite

Zite

http://zite.com

This is probably the service I currently use least, mainly because it’s mobile-only. There was a time when I’d check this every day. It does surface some really interesting stuff. I’m not sure of its future since the Flipboard acquisition…

Conclusion

As you can probably see even from the screenshots above, some stuff appears in more than one place. If this happens, I take it as being an indication that this is important to pay attention to. Weak signals!

It’s probably worth pointing out that the above is a marked shift from my online reading habits before the demise of Google Reader. These services are either algorithmically-curated or curated by popular vote rather than  manually curated by me. Our information environments are important – as I pointed out in this DMLcentral post last year!


Oh and a bonus. As emojis are so 2014 here’s a huge list of Kaomojis. I use the one below in my Mozilla email signature and you may have spotted a few in my Twitter timeline…

(=^・ω・^)y=

Header image CC BY Karl Herler

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