Don’t fear the ban hammer
a decentralized index of banned users and where to find their content
If you’re wondering why Before the Ban is needed, then you probably think it’s inconceivable that your account would ever be limited or revoked. You believe that everything you post is uncontroversial. If so, keep in mind the following:
- The things you post right now may seem uncontroversial, but could someday be taken as a sign that you are an undesirable person to have on a social media platform.1 And even if your content is still uncontroversial to the vast majority of future users, it may still become a problem for the platform you use, if the people who disagree with you are particularly intolerant.2
- No matter how good the algorithm used to find rogue users, the algorithm itself can go rogue, banning people for unclear reasons. Algorithms have a hard time distinguishing jokes, sarcasm and meta-commentary from directly offensive content.3 Human moderators themselves have a hard time knowing what is, and isn’t, appropriate to post.
- You might already be banned and not know it. Under a “shadow ban,” everything about the service seems to work fine for you, but other uses may not be able to find your content when they search for it, and may not see replies you’ve added to their posts. Before the Ban lets you search for users and content that has been shadow banned.
Suppose in the future Alex has been “de-platformed” by one of these companies. If Alex was shadow banned, and they registered in advance with Before the Ban, all of Alex’s content will continue to be searchable and browseable at beforetheban.com and through decentralized storage. If Alex is banned outright, any content they backed up will still be available. Before the Ban provides a way for Alex’s followers to find any other social media accounts that are still accessible. If Alex loses access to all of these accounts, Alex can still route people to their domain name or RSS feed. Alex could also sign up for new social media accounts, and use Before the Ban to let people know about these alternative usernames.
Before the Ban uses a trust ranking algorithm that takes into account the number of witnesses for an assertion and the “quality” of those witnesses. This algorithm resembles the original PageRank system used by Google.4 However, a key strength of Before the Ban is that the trust ranking algorithm can be swapped out or forked at any time, by anyone. This should reduce the incentive to game the trust rankings, as there will be an unknown number of ranking systems in use, each one emphasizing different factors and evolving over time to overcome shortcomings.
- Given a diverse enough population, your beliefs are almost certain to already be offensive to some sub group. As HackerNews user nostrademons put it, “One interesting consequence of the Internet is that we’re becoming very aware that for every label you could ascribe to yourself, there is some group out there who holds a deep, visceral hate for that label, so deep that they wish you would just cease to exist.”
If you’ve posted, and wish to continue to post, about any about the following topics:
- Meat eating
- Capital punishment
- Any religion
- In his book Skin in the Game, Nassim Nicholas Taleb explains how the most intolerant group, even if very small, can often get the majority to accommodate their beliefs, to the detriment of the more tolerant majority.
- In order to highlight media bias, conservative commentator Candice Owens replaced the word “white” with “black” (or “Jewish”) in some tweets from recently named New York Times editorial board member Sarah Jeong. Owens was promptly banned from Twitter, even though she was trying to highlight the hatefulness of the original posts, not actually endorsing the message her posts contained. Owens had her account quickly restored, but only because Twitter was flooded with complaints from her large and vocal fan base.
- See The PageRank Citation Ranking: Bringing Order to the Web