In August, Medium, the publishing platform used by apologetic CEOs, PR departments, and freelance writers, announced it was introducing a new way to react to posts on its site, as part of a larger brand redesign. Medium started the year with sizable layoffs in an attempt to monetize the site beyond the traditional advertising models employed by most online publications, which founder Evan Williams (having previously cofounded Twitter and Blogger) believed were âbroken.â
Medium put up a monthly $5 paywall earlier this year, which publishers could choose to put content behind, and opened up the pay model to its individual writers on Oct. 10. Quartz recently spoke with Williams about Mediumâs new focus, and why it had chosen to design its new method for appreciating content around a clapping emoji button that it calls âClaps.â The company is using how many times readers press this button, among other metrics, to figure out how much to pay individual writers.
This interview has been edited and condensed for clarity.Â
Quartz: Can you explain the logic behind the claps mechanism? Â
Williams: We put a tremendous amount of thought into how do we actually reward the right stuff and really get that feedback loop so that the better something is, according to the subscribing reader, the more it gets rewarded. And for example, the worst possible version would be to pay on views, because then youâd have the exact same incentive structures you would have with an ad model.
So what are the other signals we can look at that would identify something is not only high quality, but highly valued by those who are actually paying for it? Thereâs lots of metrics we can look at: We can look at views; we can look at the read ratio; we can look at time spent. We can look at what was our one explicit signal before, which was the recommend . And we thought, well, what would the dream scenario be? The dream scenario would be if every time you read an article we could ask you, âWell, how good was that relative to other things?â Which is essentially a rating system.
Because anything, a âlikeâ or a ârecommendâ, a binary mechanism, is useful and is simple. But anything, whether itâs a restaurant or a book, like, saying, âgoodâ or ânot goodâ, that doesnât really give you the depth of meaning that is important. And when it comes to information value or story value, longer things maybe you should be paid more because, you know, they take more work. Often they can be more value. If someone actually read it, thatâs sort of a proxy for value. But rewarding length in and of itself didnât seem quite right.
So the claps mechanism is the closest thing to a real rating system without making it feel like a rating system. Making it feel organic and something you didnât have to think about too much that really captured that degree and variability of sentiment. Itâs per user, so itâs relative to if you give one to three claps to everything, then we parse that out. We parse out the [subscription] money that is earmarked for your subscription based on that. And if I give, like, 30 claps to everything, we parse it out relative to my claps.
If you just view something and spend no time on it, it wonât get rewarded in our system. And if you think, like, âThis thing blew my mind,â and you, like, really want to just go nuts on that, it will get a disproportionate reward, which I think is the closest thing to actually rewarding what people are valuing. It gives a lot of agency to the reader, which is important to them and, I think, important to the writer in order to say, âI may not write as frequently, or the longest things, or the most popular things, but if Iâm able to build an audience who really loves what I do, that will be reflected more in the system more than it would in another system.â
I see. What was the decision behind the actual name, âclapâ?
There was lots of debate, as you can imagine. Thereâs this little experimental forum in Medium, in the app, called Series, which is a mobile centric storytelling format that is only available in the Medium app. Itâs serializable, so you can add to it over time. You get to a tappable story thing. Instead of the ârecommendâ, the team came up with this thing that was like a claps emoji. And you could hit it multiple times. You could even hold it down and it became a sort of exploded emoji. It was just fun.
Because theyâre serialized, the binary ârecommendâ actually didnât make sense, either, because you can come back to the story multiple times. We found it actually did sort of capture the sentiment or level of appreciation you had for these stories. Like, if it was awesome, you would hit it more.
We went through a bunch of ideasâwe were, like, âIs it multiple hearts and is it stars or is it a rating system?â And we decided on the claps because, itâs the most natural metaphor there is to what happens in real life. While it seems kind of goofy, itâs not goofy in the real world. It applies to art. It applies to lectures. It applies to conference speeches. Itâs a natural thing people do to show appreciation and reflect how they feel about something. And itâs kind of fun.
Well, we give applause, we donât give claps.
Right. So in certain parts of the product, we say, âapplauded.â But what is it when you get applauded? The language is kind of funny. The picture works better than the language. And yeah, weâre hoping people get used to it.
Itâs like moving from stars to hearts on Twitter.
It is. Although, the opposite, because they were, like, âAh, hell, letâs just do what everybody else does. Letâs call them âlikes.ââ You know, we had the heart forever [on Medium]. And I never loved that, frankly. Like, we called it a recommend, which Iâm still a fan of. And thereâs a few other things that use ârecommendâ now. At the time, I had never seen anything that used ârecommend.â It was a very intentional word. It was a big word. We wanted to make it more meaningful than a âlike.â
But then we were trying to iconify it and we just couldnât come up with something that meant ârecommendâ, like, in a picture. And because it is essentially a âlikeâ, it was, like, people will get what the heart means, even though it doesnât feel like quite the right thing for an article.
Itâs, like, heart? It was exacerbated when we said, âWell, thereâs multiple,â because multiple hearts feels even worse. We had a million different mockups. We had, like, floaty hearts, kind of like Periscope. And itâs, like, âNo, this is, like, thoughtful, brainy stuff.â Itâs not multiple hearts. I mean, it can be tear-jerking, sentimental stuff. But it just didnât feel right.
People have not had the best reaction to claps.
Weâll see if people get over it. The adverse reaction, I have to admit, was much stronger than I expected.
People have a hard time with change. It was not just change, it didnât mirror how other systems work. And the idea you can do it more than once. Which I guess is not intuitive, but to me, you know, we spent a long time thinking about it. We get a much higher fidelity of information by capturing zero to 50 on a scale of response than we do with one. For the system itself, itâs meaningful. And so for all these different reasons, even information discovery, we thought it would be useful. Some people said it was like Facebookâs different types of responses, but thatâs actually completely different. Different. Itâs not degree, itâsâŚ
Itâs binary.
Exactly.
People really had trouble wrapping their head around why the change. What I saw when we announced how it was tied to money, that was also misunderstood because it was, like, âWell, why couldnât your friend just clap 50 times and you get all the money?â Well, because thatâs not how it works. But then, I did see many people, especially the writers on Medium, being like, âI didnât get the claps thing. But now that itâs tied to money, now I get why this makes sense.â But weâre still in a learning process. And itâs a âv. 1â of a new system that hasnât existed before. Weâre still learning about this and about is it the right UI? Is it the right metaphor? Are we showing the right information?
And there is a big debate about do we show the total number of claps to the people that clap or the combination or the average or, like, some graphic? And all of that is very âv. 1.â And I think thereâs probably things that we might tweak on that. Whether we show, we donât show. Thereâs so many nuances to it. Like, if you click on the number of claps, you can see actually how many people there are. If youâre the author, you can see how many each person did. But if youâre a reader, you canât see how many each person did. It is definitely a signal back to the author. And would the authors be able to see, like, âOh, super fanâ? And what the limit is. We felt like it needed a limit, but what is the right limit? We needed to see a lot of data before we really knew that.
I see.
But it was funny because we obviously thought about this a lot. Itâs an experimental, new thing. And itâs, like, âNo, wrong, stupid. Worst idea I ever heard. Like, this is retarded. You guys didnât even think about this.â Oh, thanks internet. Great.