I've never been one to follow much social media - certainly not the kind that is just a (almost certainly fake) presentation of a perfect life. Someone's highlight reel. But I did catch myself on the other side of this. I spent hours on some days baking or cooking specifically to flex on people with well-crafted photos of the finished food. I still enjoyed it, but once I realized what I was doing I started cooking much more reasonably difficult dishes - so I'm sure it was motivated by a wish to instill envy in others.

So I think I understand that side of the equation. But I had a more or less captive audience (a Slack #food channel). Can anyone speak from the side of the willing consumer? The avid subscriber?

Hey everyone,

I launched my little project LinkLonk here on Tildes back in December and wanted to tell you how it has been going and get your feedback/suggestions.

New changes since the launch:

• The temporary accounts now automatically get deleted after 30 days of inactivity. I didn't have the deletion logic at the time of the launch, but had it implemented about 30 days after launch. Automatic account deletion is quite destructive - removes the account from the database (thank goodness for foreign keys and cascade deletes) and from Firebase Authentication. I'm happy that there were nobugs when I ran it the first time.
• In addition to submitting external links you can now create text posts. The posts are Markdown-formatted (similar to Tildes). One novel thing is that you can post "anonymously". The database has a record of who the author is so the author can delete/edit their post, it's just the name is not show next to the post.
• Comments - each item has a comment section. The comments are ranked based on how much you trust the people who upvoted each comment (as opposed to being pure popularity). This is the same ranking system that is used to rank the "For you" page, but now applied to comments.
  • Unlike Tildes, the comments have a downvote button. The downvote does not bury the comment for everyone else. Instead, it makes your trust in upvotes of people who upvoted that comment go lower. So the downvote button effects what you see, not what others see. It is much harder to abuse that button that way. For that reason I feel much more comfortable putting it there. However, there is a second order effect. If you downvote a comment that someone else already downvoted - then you will trust the downvotes of that person. When they downvote some other comment - then it will rank lower for you. In a sense they earn your trust to moderate content for you by identifying comments you don't want to see.

In terms of users, there have been 260 user records created (some from my shameless plug comments on HackerNews). Of those, ~45 rated something - excluding those that were temporary accounts and were deleted. And I think we have 2 regularly active users (excluding myself). In my mind I had 10 as the number of active users that I was hoping to get by the end of 2021. At this rate we may reach it.

I was pleasantly surprised that there have been no misbehaving users. I didn't need to remove any content even once. This lead me to constantly postpone the implementation of a content reporting system. I hope it stays this way for a long time.

The whole idea of a trust based recommendation system is based on having someone to trust. Right now it is the RSS feeds that are generating most of the content recommendations for the active users. But ideally it would be mostly users recommending content to users. I have two priorities for the near future:

• Make the "single-player" experience better so the active users find value already. As an example, I added full-text search through items you liked
• Find more users to improve the "multi-player" experience. One option is to submit a "Show HN:" post on HackerNews. But you can only do it once and I'm not sure I'm ready to use that shot yet.

What do you think I should do next on these two fronts?

If you would like to give LinkLonk a try register with code "tildes" at https://linklonk.com/register. Feel free to comment on this post: https://linklonk.com/item/6347369602224750592

Let me preface that I'm well aware that if given the choice between frequent, untargeted ads or fewer targeted ads, the average Tilderino's response would be "Neither."

However, given that social media at scale has yet to establish a sustainable business model that doesn't rely on advertising (people like free content, after all), it seems advertising has become a necessary evil (and has pervaded nearly all forms of media for the past century regardless).

With that in mind, I think coming up with creative solutions to deliver relevant advertising while preserving user privacy and avoiding destructive feedback loops (i.e. where the search for ad revenue compromises the user base and content generation) is an interesting thought exercise. This is one of social media's largest problems, imho, but it might be easier to analyze just Reddit as a platform due to its similarities (and notable differences) to Tildes.

A couple thoughts of my own:

• Whitelist "safe" subreddits - A massive problem for Reddit is identifying content that brands want to avoid association with (e.g. porn, violence, drugs). While new subreddits crop up every day, the large ones do not change so fast and could be classified as safe content spaces (e.g. /r/aww)
• User subreddit subscriptions - Rather than target ads based on the subreddit currently being viewed, why not use the subs people have voluntarily indicated they are interested in?
• Allow users to tag content - While people can report content to the mods today, there is no ability to tag content (like Tildes has) from a user level. Content that's inappropriate for advertising may not necessarily be a reportable offense. By allowing users to classify content, better models for determining "good" content vs. "bad" could be developed using ML.
• Use Mods to determine content appropriateness - User supplied data may introduce too much noise into any given dataset, and perhaps mods are a better subjective filter to rely on. Certain subreddits can have biased mods for sure, but without trying to overhaul content moderation entirely, could mod bans/flair be used to indicate suitable content for ads?
• Use computer vision to classify content - While this wouldn't work at scale, an up-and-coming post could have a nebulous title and difficult-to-decipher sarcastic comments. The post itself could be an image macro or annotated video that could be used to determine the subject matter much more effectively.

To be clear, the spirit of my initial prompt isn't "how can Reddit make more money?" per se, but how can it find a sustainable business model without destroying itself/impacting society at large. Facebook and Twitter seem to have optimized for "engagement" metrics which leads to prioritization of outrage porn and political divisiveness. Snapchat and Instagram seem to have succumb to being mostly an ad delivery engine with some overly-filtered content of "real life" influencers (read: marketers) strewn in between. None of these seem like a net-good for society.

What are all your thoughts? Perhaps Big Tech social media is irredeemable at this point, but I'm trying not to take such a defeatist attitude and instead explore any positive solutions.