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Social Cooling - big data’s unintended side effect

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and the and a and the it in here welcome to our next talk social cooling you know people say I have no problem this survey and I have nothing to hide but then know maybe even neighbors the the this maybe that so tonight we wanted time and so that from now on he's a privacy desiring and
freedoms some security research on that is going to hold talks about how digital surveillance changes our social way of interacting so please let's have a for the term and the and recall that your and really happy to it's is really an honor is when I miss names time then I am a technology critic and that means that uh is my job to not believe we tells us the and and this read a lot of fun and the is
how do I get a wider audience involved in understanding technology and the issues that are arising from technology and gravity that change comes
when the public demands it I think that's really 1 important things that went it happens and for me as a as a technology Greek for me worser much how
I this is what I try to have this this world and so tonight I'm gonna talk to you about 1 these words that I think you could help us
and the Brits framing the issue is half the battle he and frame the problem if we can explain the problem is and isn't that that never envision already visible the 3 of them hospital but 1
so that frame is social cooling and but for you and I wanna ask questions
who here recognize this you're on facebook person a social and that means that the click on the link because you think what I could this was a good take on this but it might look bad at it might be remembered by someone sums it
into my memory and I could do but I'm hesitant the click and in the answer uh which which the for the better there now no power the case at that yeah yeah so again it so you're a Facebook is thinking or this the link I could click on that but your hesitating because maybe some of the grammar that that might come back to me later and and who here recognizes that feeling so remote almost everybody and that increasing you I find when I when I talk about issue that people really start to recognize this and nothing get 0 order
described as click fear like this this this has stations could be click fear the you know alone
increasingly refined that research finds this is a wide problem that people are hesitant to click on modeling for example after the Snowden revelations people were less likely to research issues about terrorism in other things on Wikipedia because they thought well maybe innocence would like it if step cannot will the and
you will as well so this is a a a a pattern that's the research are pointing to and is not very
strange cost me we all understand that if you feel you're being watched you change your behavior it's a very logical for them thing we all understand and I believe
that technology is really amplifying this effect and that's something that we really have to come to grips with and and that's why I think logically
could be useful for that social calling describes the way how increasingly digital world where did all light lies on piddly pretty did it dies and it becomes easier to feel this pressure to feel normative affects all the systems and a very much you see
that because increasing your data is being turned into thousands of course by data brokers and other companies and those course increasing if your including your chances in life and this is creating an engine of of oppression engine of them J. we have some sense and the funny
thing is that in a way this is this is idea is a really really being held by Silicon Valley who for a long time is that they this new gold but they've really the father of 5 years change that narrative noticing data is the new
oil as we find because if they didn't
oil then immediately you get the question which oil Davis global warming so then what the thing to give us so I leave it there the oil is
always a global warming and data could lead to social calling that could be water we use for these negative effects of Big Data the In order to
really understand this and going to it with a look at 3 things 1st we talk about the reputation economy how that system works 2nd chapter and look at a behavior change is influencing us and changing our behavior and finally to not let you all go home depressed I'm gonna talk about how can we deal with this so 1st reputation economy body
we've seen today that China is building
this new system the social credit system
with a system that will give every citizen in China escorted greatly represents how well behaved fail they will influence your ability to get a job
alone the even the date and for
example the current version of the system says me credit 1 of the early broadsides uh already gives everybody a that was was score but it also is
connected to the larger dating site in China so that you can define a good this person I'm dating or kind of course is is is is something whose you know well viewed by Chinese sites this work is we heinous for me
because until now could say well this reputation systems they're they're fair if you're good person you get a higher score to bad person get a lower score but it's not that simple mean your friends courses your score and you're score inferences her friends score and that's where you really start to see how
you know that social pressures arrive where we can see the factory of all data stratification where people often think pay were my friends and we should be friends with
canadian thank you that only happens in China the Chinese
people are a little different but the exact same thing is
happening here in the West consider and ability I'll give an example this is a company called the lead danish company and this is the video for their service but
the apartment from others you lost sweltering of interest to the capture of live like has no previous reviews to help support the wrong and you just joined the where we got from the other side of it is useful in helping you to win right here
in the residual and support users precisely that of share and benefit with the hydrogen however using you use for a alongside you see the average of of like and how to help students like we you to link to the data of like a giant size of now you don't see 2 vectors that have there
is a chain there's difference there um this involving American it's highly invisible to us but to change the very open about what a building but here we perform a the blind to what's going on so
model talk about the things that we're talking about the system that give us a very clear rating like every be uh you were before Chinese system the thing is most of the systems are invisible to us the huge market of data brokers who are you know not visible to you because you are not to the customer you are a product and the data brokers and well
they do they together as much data as possible about
you and that's not all them and they then create up to 8 thousand scorers
about you the United States is committed to a balanced course and in europe it's a list of around 600 the search cost by things like your
IQ your psychological profile the gullibility your religion your estimated lifespan they thousands of these different things about them and
how they work well it works choir machine learning so machine learning problems and find patterns I think that we can really not anticipate
for example let's say you're a diabetic and well that's that's a year the state of our company has the minister has an apple that diabetic patients use the all set the date of these diabetic patients at what they do on Facebook or they can correlation so if diabetic patients more often like gangster rap and pottery on Facebook or then that you could deduce from that that if
you also like gangster epic poetry on Facebook perhaps you also are more likely to have were get diabetes this a highly unscientific but this is how the system works them this is an
example of how the works just your Facebook school seamlessly lowest that's 16 per cent when it came to predicting whether users parents were still together when they're 21 people whose parents divorced before their 21 10 10 like statements about relationships trying to users were idea with about 65 per cent accuracy smokers with 17 we sanctioning grows with x 70 per cent of sexual orientation was also easier to distinguish among and manage any per cent right there for winning a it was about 75 per cent gender by the way ways that religion and political news were predicted with high accuracy as well for instance white versus black 95 per cent so important thing to understand here
is that this is really about your data and more like of topic we talk about the protection we talk about our keep control my data this is their data this data that they produce that they derive from your data these are opinions about you and these things are what you make it so that even though you never filled in a psychological tests they have 1 a good example of that used is common called
Cambridge analytic this company and has created detailed profiles about us some something them to but they called psychographics analytically themselves and
the by having hundreds and hundreds of
thousands of Americans undertake a survey we were able to form a model to predict the personality of every single adults in the United States of America if you know
the the personality of the PPO targeting you can you once you messaging to resonate more effectively with those key audience groups so for a
highly neurotic and conscientious audience you given need a message that is rational and fair based on
motion based in this case but the fractional buggery an insurance policy of a gun is very persuasive and we can see
where these people are on the map if we wanted to drill down further we could resolve the data to an individual level where we have somewhere close to 4 or 5 thousand data
points on every adults in the United States the so yeah this the company I worked with both the breaks at campaign and with the trump camping of course the laughter
from campaign all the data was leaked so data on 200 million Americans the conclusion you can you see this data described as modeled poker ethnicities and religions of this this derived this might think that when you go
online I use Facebook use all the services that advertisers are paying for you that's a common misperception really case what's really going on is that to the research majority of the
money made in this data broker market is made from risk management I so in a way you could say that is not not really sure if I'm not really marketed are paying for you it's a bank
it ensures that it's your employer if governments these kind of organisations are the ones who by these profiles the the most more than the other quarter the promise of big data is that you
can then manage risk Big Data is the idea that with data you gonna stand things and and manage them so what
we is innovation in this big data on the state economy is the democratization of the background check that's really the core of this this market now you can find out everything about everyone so yeah now in Europe uh in past only maps your bank could know your credit score but now you're greengrocer knows your psychological profiles and that's a new level of gas what's going on in the early in this model you visit is
also huge quantization research but FCC this model-free worth
150 billion dollars in 2015 so it's invisible is huge and hardly anyone knows about it but that's probably gonna
change may bring this to the 2nd part behavior
change we already see this the 1st
part is how we have behavioral changes having 3 systems that through outside influence and we've we've talked a lot about this as conference for example we see how
Facebook and advertisers try to that of Austin how China China's doing that trying to influence you Russia has really try to use Facebook to influence the elections and work of realized by cameras in the front of the same thing and you can have a debate on you know to what extent are they really influencing us but I think that's not actually read most interesting question what interest me most of all is how we're
doing it ourselves how we are
creating new forms of self-censorship and them are pro actively
anticipating the systems this was you realize that is really about risk management you start with this about banks and importers prank understand you a people start on that it'll go beyond picture
in my room this is all go beyond will become no of people find out this'll be
you know not getting a job for example FIL be about getting really expensive insurance so be about all these kinds of of problems and people are increasingly find out so for example in United States if
you the diarist might now use data Provo are now using data profiles to find out what issued audit so aristocracy to a girl and and she said all I recently tweeted bouts and they have read about iris if he really grab a phone to delete it was realized that you know this could now be used against her in a way the and that's a problem
of course all have other crazy examples that the big the audience of the measure the wider public is picking up on like also now if I were the 2nd find out if a gay or not and these things scare people in these things on our system have to understand so chilling effect as well as boil down to
for me more importantly the then and these inferences of these big companies and nation-states is how people themselves are experiencing chilling effects like you yourself have as well the that brings us back to social calling from a social
cooling is about these 2 things
combined as 1 hands this included reading ability of agents and in groups to you the hence the willingness of people themselves to change their own behavior to per actively engage with this finish there's 3
long-term consequence of what dive into the
1st is how it affects the individual the 2nd is how it affects society and if there is how it affects the market so that individual
here with raising that arising cultural self-censorship M. so every with an article that I
read a New York Times there where student saying well we're favor reserved to go to the that spring break acetylate you don't have to defend later so you don't do it was talking about stopping by doing crazy things you know letting go ahead fun this is 4 the next day it'll be of Facebook
so what's happening here that if you do have all kinds of freedoms have the freedom to look up things have the freedom to to say things but you're hesitant to use it and that's really insidious that has an effect on the wider
society and here we re societal value of
privacy because in society often minority
values later become majority failures an example is is we eat uh Wagner from are
from the Netherlands and there you see the no 1st somebody you just don't do and it's you know a bit of 0 but then no maybe the initial he tried as well and people try it and slowly on the surface of the society people change their minds about 2 things and after while like you know what we still worried about all the same pattern held that was of course with
way bigger things like this I'm a scientist was a view that I never intended to adjust myself the ratio of segregation and discrimination this is the same pattern is happening for all kinds of things that that change in society and that's what prices of form furnace why from born the people have the ability to look things up and to change the minds the dog bachelor without feeling so watch solitaire the 3rd thing is how
it impacts the market here we see very much a right of a culture of of risk avoidance and
an example here is that in 1985 already doctors in New York were given discourse them what happened was that the doctors who um trying to help advanced stage cancer patients complex patients who tried to do the operation differ liberations but no score because these people are often diet all Doxygen little finger and then try to help the high score because well people did die so you see here that the systems that they bring all has a perverse
incentives they you know they they're they doing this for everybody to take risks and in some areas of society really like people to take risks like there and entrepeneurship nurses doctors so in whole party said this posting is some kind of trickle
down risk aversion where do you that the the weight of companies and governments want to manage risk that's the thing down to us and at the 4th want them to like us whatever job at want TeV inches and then we've pretty sad to think or maybe I should not do this it's a subtle effect
so how do we deal with this well
together I think this is a really big problem I think this is such a big problem that that it can be managed by just some some hackers saunas building something or by politicians making a lot this is a really a society-wide problem so I'll talk about all these
groups that that that should get into this the public politicians business and that's fine so the public I think we have to
talk about us and may be extended metaphor of the cloud is a mystery to see the stars behind a cloud I just 1 way to look at this and then after we could use
and like to use humor to explain this to a wider audience so for example um the last year and that was part of exhibits FIL
top exhibit about dubious devices
and on the device there was called taster status which was the coffee machine and if you call the based on your area
code so it is in a good area code you get nice coffee live in that area you going to get that stuff I'm
a little but and discover like often that you can use your things of utterance every like that now that approach we go a long way to go I mean if you look at the long you know how long it took for us understand global warming to really you know come to stage where most people understand what is in care about and it's acceptable Trump um well with data we got a long way to go really at the beginning of understanding this issue like this a 2nd group that has
to be wake up this is politicians and
this was and this really about the balance of power this is really about power and if you permit me I'll go into
big picture of it as a the and immediate there's
so this is a culture that isn't is a French philosopher and and he explained in his work something that I find really useful he
said you have to systems of control society and the 1 is the institutional 1 this on we all know that the did you the judicial system so you're free to the we want then you cross a line across a law then at please get you you go from a judge but a prison is a system we understand but he said there's not a system which is this social system this is the social
pressure system and this for a long time design but now officially we are able to do that so this this is way suboptimal behavior and then that gets measured and Josh and then you get something notched in the right direction a very important differences between these 2
systems the official system In a has ideas you're free citizen that make up your minds and you know well some system is like that's working all the time yeah the constantly does matter if you're guilty or innocent is always trying to push the system the that the social system is very much about punishment so if you break the rules to get punishment but people sometimes that and is called get punishment but the social system you something way more powerful which is the fear of exclusion we're social animals and really care to belong to a group and the difference is that it was very important additional systems accountable no democratically to us all the sources of the mode is really really visible like these evidence how their work where they'd is going is very hard to understand of course is exactly what China love so much about it right
there's no extend from the tank which can be summed up from the cloud so yeah that's that's great but also
helps me to understand what people have nothing to hide and we understand that because when people say I have nothing to hide with the saying is I have nothing to hide from the old system from the classic system from these 2 sources this thing I want to help the police I trust our government I trust our institutions this issue really a positive thing to say the thing is they don't really see the other part of the system how because the there are parts not in your control they're not them the checks and that's really a problem the
so the 1st thing that I think Mr. wake up as is business business have to see that this is not so much a problem perhaps but that it could be an
opportunity I think facility for metaphor here but fats if we give again come compare this issue to global warming say we need something like ecological food for data and but I don't
know what that's gonna look like how we can explain that we have to talk about fast food versus the fast data versus the blood you later we need a metaphor here Of course laws are also really
helpful and so we might get things like this and thank you was the working on this is funny that in the or
the theory of and we may get here but few
so lucky we see that in Europe for the the the pulses are awake and re trying to push this market having this really great so I think in the future will get to a moment where
people say 0 I prefer Europeans more products for example I think that's a good thing I think this is really positive finally on it to all of us what
each of us can do I think here again there's a parallel
to global warming where at its core is not so much about new technology and all this is about a new mind-set new way of looking at the world then you
think with the stop saying that we have nothing to hide so the if I've learned anything in the past years on standing in researching pricey in this big trade data market is privacy is a right to be imperfect
I think there's pressure to be the perfect to be preference to were of privacy is a way of getting out of it the so this is how I would refrain privacy is not as being about which this and bicycle where but it's about you know the human rights to be imperfect discourse we arguement we are all in perfect sometimes
targeted all the conference people there well price is the phase you know it's like and flodden in
and got it is going to go away again that's crazy no you don't say women's rights are just a
phase we had for a while and gonna go get that and whatever was no displays way better is
arguing that don't care about right to privacy because if nothing to hide if no different than saying you don't give out free speech because you have nothing to say 1 eloquent system systematic what so a figure the yesterday to strive
for here is that we develop a more nuanced understanding of policy issues and even if a go away from the city that
data more data is better data on MIDI progress no it's not data is a trade off for some for individual more data might mean
less psychological security at less willingness to share less willing to try things for
that the country it might mean less autonomy for citizens A citizen need their own autonomy you need to know what's going on the need to be able to vote in their own autonomous way and the site was what they want and this is you say more data might lead to less creative they had less willingness to share new ideas to support with new ideas them this again that an issue there so In
conclusion social calling is a way of
understanding this issue the way of framing the issues that I think could be useful for us that could help us understand engage with these issues yes such a
cooling is an alarm it's alarmist is I'm trying to say this is the problem with the with but it's also
really about hope but I trust not threaten technology I trusted us in people that we can fix this once we understand the issue is a way that when we understood problem of global warming we start to deal with we do is gone it's slow progress or do that we can do the same thing with data will take a while but will get there the he finally this is
about Stata Center differ between shallow optimism and and deep optimism oftentimes technology sectors but I told you did know they were going to fix this by gradient pattern and we that's you know that I would be optimistic that shelters Atatürk's make optimism a true optimism recognizes that any signal comes the downside of it to recognize that that's that's that that's not a problem to it to point out the problems as a good thing it was and then promise you can deal with them and you come up with better solutions if we don't change in this mind set then we might create a world
fervor well behaved but perhaps also a little bit
you thank you
and and so that the things you of the word because it takes input you words be 1st microphone number 2 of the things that was really interesting talk of have a question I the world work accommodated that there is a project of cold in the by foundation called a solvent Foundation do you know about about of the regret perfect so to just to quickly explain these people wanna created by an identity layer that will be self sovereign which means people can reveal what they want about themselves only when they want but is 1 unique identity on the entire Internet so that could potentially be very liberating because you control your identity in individual data so on but at the same time it could be used to enable something like a personal schools reassuring earlier on so maybe think about and I wondered if you have an opinion on this is what I am the 1st thing I think about is that a separate explain and you see a lot of initiatives that try to be about i its control your own data that's really missing the point that is the lottery about your data it's about is derived it and of course can help to to manage what you share you know then can deriving from it but to realize he that awareness signal this is very much for me and an example of what nurse and ignores really good at like a we got a social problem that's Creative Technology at and I will fix it well when trying to explain is that this is such a big problem we cannot fix which is 1 group alone but the politicians that designers not energy this is something that we have to really get together you know from graph fix together because this is such a fundamental issue right the idea that risk is a problem we wanna manage risk is such so deeply ingrained in people such base fear is fundamental it's is everywhere so it's not enough for 1 group to try think that it's something that we have to compete with the together and so on OK there is the signal and you have a question from the internet think yes and what she was asking do you think there's a relationship between self-censorship an echo chambers in the sense that people become afraid to challenge you all believe and thus isolate themselves in groups with the same ideology so that's that's a that's a really began to and as if the up as the milling thin surface and and recklessly he responded he said what you really have to look for is this much is repetition economy but also the attention economy and how they're linked so for a while been looking for that link and a slope the say their and their deadly is a link and the important understand ones here is that I'm not saying that everybody will come really well behaved and 3 bookworm people the the thing is that what this situation straight is overall becoming theater players all playing and more more Keyser West more time and for some people that might mean that there you know the the most people will be more the conservative a more careful so they will go read all outstanding all enjoy states showed with the people as well and I think those people could really benefit and that the attention economy could really you know give them a lot of attention through that's something there's a better link there but I could go on more but the thing it's for now and again we're short term will take up sorry 1 more question number 1 so I think the audience you're talking about is the audience you're talking to here and is already were very aware but I'm asking for like tactics for your tips to spread your message and to talk to people that are in this facing our I don't care do they can serve like what's what's your approach let go in a practical way how do you actually do this yeah and so I'm really glad to be here because I am I as I am inert but I'm also a philosopher or thinker you and and that means that for me when I work with is not as a knows words and ideas I think those that try to show can be really powerful like a word can be a really powerful way to frame debates or engage people so and I haven't found yet away to to push all the side I was major that I can tell you 1 sentence what privacy is and why it matters but have to give a whole talk before that might bite is a right to be imperfect but in order to understand that you have to understand the rise the reputation economy and how it affects your chances in life the funny thing is that that will happen by cell that people become more aware that they will run into these problems they will not get a job or a might get other issues and then they will start to see the problem and so my question much to help you understand it but to help them understand it before they run into the wall right that's how it usually cited moment deals with technology problems like a little girl we always problem over and I will try to fix it I believe you can really see these problems come way earlier and I think humanity's from from is really helpful that and trying to you know like those are really really clearly explaining what the problem is in 1995 and so yeah that the thing that I I don't have a short way of explaining you know of why privacy matters that think it'll become easier time as people start to really feel these pressures it sorry thank you very much for the questions I think we all should go out and spread the message of this talk is over I'm awful sorry and when you could you please that you both forms you cups and what you're doing is effectively reduced and that few would be to be here
that the end of the and the and the thank you at but eked capacity and weak to
Datenmissbrauch
Kryptologie
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Lie-Gruppe
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Facebook
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Gamecontroller
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CAM
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ATM
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Gesetz <Physik>
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Physikalisches System
Figurierte Zahl
Datenmissbrauch
Phasenumwandlung
Web Site
Computersicherheit
Computersicherheit
Systemaufruf
Bit
Minimierung
Mathematisierung
Mustersprache
UML
Gradient
Punkt
Rahmenproblem
Momentenproblem
Gruppenkeim
Zellularer Automat
Zahlenbereich
Term
Datenmissbrauch
Eins
Internetworking
Bildschirmmaske
Flächentheorie
Prozess <Informatik>
Nichtunterscheidbarkeit
Videospiel
Fundamentalsatz der Algebra
Datenmissbrauch
Graph
Binder <Informatik>
Kontextbezogenes System
Ein-Ausgabe
Energiedichte
Druckverlauf
COM
Rechter Winkel
Gamecontroller
Wort <Informatik>
Ordnung <Mathematik>
Message-Passing
Aggregatzustand
Hypermedia
Medianwert
Systemprogrammierung

Metadaten

Formale Metadaten

Titel Social Cooling - big data’s unintended side effect
Untertitel How the reputation economy is creating data-driven conformity
Serientitel 34th Chaos Communication Congress
Autor Schep, Tijmen
Lizenz CC-Namensnennung 4.0 International:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/34945
Herausgeber Chaos Computer Club e.V.
Erscheinungsjahr 2017
Sprache Englisch

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract What does it mean to be free in a world where surveillance is the dominant business model? Behind the scenes databrokers are turning our data into thousands of scores. This digital reputation is increasingly influencing our chances to find a job, a loan or even a date. Researchers are pointing out that, as people become aware of this reputation economy, it is generating a culture where self-censorship and risk aversion are the new normal.
Schlagwörter Ethics, Society & Politics

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