People respond to incentives.
These four words are at the heart of the social sciences and the key to hacking human nature. Mankind has developed positive incentives and negative incentives. Positive incentives include fame, praise, respect, degrees, badges, medals, [good] grades, points, and various monetary rewards (which can be traded for most other goods). Negative incentives include prison, the dunce hat, [bad] grades, gossip, ridicule, physical intimidation / harm, and monetary loss (lawsuits, depreciation of assets in disrepair, etc.). It’s important to remember that “incentive” does not necessarily mean “money.”
In the early days of the internet a small community of academics relied on community norms to govern the system. The systems governing the exchange of email were limited. What incentive would one academic have to spam another? The same goes for usenet, which was a very open message board with limited governance. The first generation of web search engines made assumptions that publishers of content on the web would accurately tag their own sites so that search crawlers could help index the web. Who knows better than the content creator? In small communities like the early internet, the cost of being a bad actor were high — transparency and the fact that it was a small community were powerful incentives.
But then email became pervasive outside of academia and SMTP was (and still is) ill equipped to deal with a world with bad actors — even a small percentage of spammers can ruin the experience for everyone else. Usenet was quickly overrun by spam as the internet went commercial. And the idea of having publishers tag their own content for better search and indexing failed once incentives to cheat grew and the cost of doing so decreased.
While most people think about incentives on the web being monetary things like About.com paying their guides or virtual currency in name-your-favorite Facebook game, understanding incentives has been at the core of many of the web’s greatest inventions. And I suspect that will continue to be the case.
1. Google’s PageRank.
Google Search “won” by hacking human nature to fight the spam problem. The insight behind PageRank is that you can figure out what a site is about and its relative value by what other people say about the page rather than the publisher herself. Publishers speak with their links (and the content around those links). Not only do you need high quality sites linking to you, but you also get punished for linking to bad content. Brilliant.
Crappy content fades away and bad actors live under the threat of being removed from Google’s index. A potential benefit of having a monopolist in the search market is that the threat of being removed from Google’s index could literally lead to bankruptcy for many potential spammers (not the case in a fragmented world of search providers). That’s a painful pill to swallow and one that arguably leads to a better search experience for all consumers.
2. Facebook’s domain-based authentication.
Early social networks had many of the same issues [and still do] as usenet. Consequently, users [particularly women] were often afraid to share authentic details about themselves.
Until 2006, the only way to get into Facebook was with a university domain (e.g., name@harvard.edu). Domain-based user authentication not only limited fraud, but allowed Facebook to automate the creation of groups by University (and later corporation, etc.). Furthermore, the cost of being a bad actor surely carried greater risk than having some lightly authenticated name@hotmail.com account.
What other mechanisms of authentication can improve authenticity? How about sending physical letters with a unique code to every home on the planet to create a location-authenticated social network?
3. Less is more with IM buddy lists.
Of all of my online collections of friends, the smallest by far is my IM buddy list. There is a huge cost of interruption. With a small list of people, I can leave Adium running in the background whenever my computer is on. While I’m fairly open to receiving and making invites on other social networks, I cultivate my IM buddy list like no other. LinkedIn smartly suggests that you only invite and receive invites from people you know. But instant messenger applications needn’t make such suggestions, as users quickly learn the costs of too many or unknown friends. I get more email spam in a day than IM spam in a year.
10 responses so far ↓
mejoff // April 29, 2009 at 5:06 am |
Conveniently enough 4 words can also wrap up the entire incentive system: “fame, sex, money, jail”
d // April 29, 2009 at 6:29 am |
great post. I love reading your blog. more please.
small point: fb first opened to users outside of edu in 2006 rather than 2005.
Mike Speiser // April 29, 2009 at 2:16 pm |
Thanks d. Corrected the date. Sloppy of me. Thanks.
Andrew Beranbom // April 29, 2009 at 4:35 pm |
Mike,
I hope you are well and great post. Incentives is something I obviously spend a ton of time on in figuring out the right way to balance the motivation driver versus crossing the line and having a negative user experience within our consumer to consumer referral experience. I wonder with your examples of incentive structure (non-monetary) if there needs to be a certain scale for it to be effective (ie. google and fbook), or if it is something that can show success regardless of size?
Mike Speiser // April 29, 2009 at 8:53 pm |
Andrew, when user communities are small and transparent, I think existing offline incentives will usually suffice. As communities grow, it becomes very difficult to rely on purely offline incentives [without at least some online assistance] to keep the peace. So I suspect that in each case there is a minimum efficient scale to justify the extra cost of implementing anti-spam “features.” I wonder if there is a tipping point in each category and if the shape of the curve is linear or non-linear (e.g., that the value of these systems grows at some exponential rate with respect to the number of users)?
Michael F. Martin // April 30, 2009 at 2:27 am |
There is a category of incentives missing from your list, which I would call “thirst for knowledge.”. There is something in our brains that sends us positive feedback when we figure something out. It’s correlated with gamma wave bursts. It is hugely important to the Internet. It is at least as important as recognition for some people. Somewhere on my blog I covered a comment that Kenneth Arrow made in this regard on a paper by Paul Davis. I can’t cut and paste with my iPhone.
On another note, I’m almost certain you’ve read Munger on 25 psychological issues with behavior. If not, you’re in for a treat. Afterward, check out Marc Andreessen’s translation for startups. Icing on the cake. Incidentally, I owe Marc’s post my thanks for introducing me to Munger’s ideas.
Michael F. Martin // April 30, 2009 at 2:42 pm |
Here are the links for those interested:
Paul David article:
http://www.bepress.com/cas/vol3/iss2/art5/
Ken Arrow’s comment:
http://www.bepress.com/cas/vol3/iss2/art6/
Marc Andreessen’s first post (he did several):
http://blog.pmarca.com/2008/03/the-psychology.html
Munger’s book:
http://www.poorcharliesalmanack.com/index.html
Jay Levitt // April 30, 2009 at 11:16 pm |
Yes, yes, yes.
Spam isn’t a technology problem; it’s a socioeconomic problem. There’s no filter or cryptography or firewall in the world that can stop it. You have to change the economic incentives.
Working on that.
Swami // May 1, 2009 at 5:59 am |
very Interesting writeup Mike. I totally agree on the IM front
Michael F. Martin // May 20, 2009 at 3:38 pm |
Here’s more on the gamma waves:
http://www.nytimes.com/2009/05/05/science/05tier.html?_r=1