Shadow Profiles on Social Networks
Data Skeptic13 Feb 2015

Shadow Profiles on Social Networks

Emre Sarigol joins me this week to discuss his paper Online Privacy as a Collective Phenomenon. This paper studies data collected from social networks and how the sharing behaviors of individuals can unintentionally reveal private information about other people, including those that have not even joined the social network! For the specific test discussed, the researchers were able to accurately predict the sexual orientation of individuals, even when this information was withheld during the training of their algorithm.

The research produces a surprisingly accurate predictor of this private piece of information, and was constructed only with publically available data from myspace.com found on archive.org. As Emre points out, this is a small shadow of the potential information available to modern social networks. For example, users that install the Facebook app on their mobile phones are (perhaps unknowningly) sharing all their phone contacts. Should a social network like Facebook choose to do so, this information could be aggregated to assemble "shadow profiles" containing rich data on users who may not even have an account.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(601)

deepjazz

deepjazz

Deepjazz is a project from Ji-Sung Kim, a computer science student at Princeton University. It is built using Theano, Keras, music21, and Evan Chow's project jazzml. Deepjazz is a computational music ...

29 Apr 201629min

[MINI] Auto-correlative functions and correlograms

[MINI] Auto-correlative functions and correlograms

When working with time series data, there are a number of important diagnostics one should consider to help understand more about the data. The auto-correlative function, plotted as a correlogram, hel...

22 Apr 201614min

Early Identification of Violent Criminal Gang Members

Early Identification of Violent Criminal Gang Members

This week I spoke with Elham Shaabani and Paulo Shakarian (@PauloShakASU) about their recent paper Early Identification of Violent Criminal Gang Members (also available onarXiv). In this paper, they u...

15 Apr 201627min

[MINI] Fractional Factorial Design

[MINI] Fractional Factorial Design

A dinner party at Data Skeptic HQ helps teach the uses of fractional factorial design for studying 2-way interactions.

8 Apr 201611min

Machine Learning Done Wrong

Machine Learning Done Wrong

Cheng-tao Chu (@chengtao_chu) joins us this week to discuss his perspective on common mistakes and pitfalls that are made when doing machine learning. This episode is filled with sage advice for begin...

1 Apr 201625min

Potholes

Potholes

Co-host Linh Da was in a biking accident after hitting a pothole. She sustained an injury that required stitches. This is the story of our quest to file a 311 complaint and track it through the City o...

25 Mar 201641min

[MINI] The Elbow Method

[MINI] The Elbow Method

Certain data mining algorithms (including k-means clustering and k-nearest neighbors) require a user defined parameter k. A user of these algorithms is required to select this value, which raises the ...

18 Mar 201615min

Too Good to be True

Too Good to be True

Today on Data Skeptic, Lachlan Gunn joins us to discuss his recent paper Too Good to be True. This paper highlights a somewhat paradoxical / counterintuitive fact about how unanimity is unexpected in...

11 Mar 201635min

Populært innen Vitenskap

fastlegen
tingenes-tilstand
jss
rss-zahid-ali-hjelper-deg
liberal-halvtime
sinnsyn
rekommandert
forskningno
villmarksliv
rss-paradigmepodden
vett-og-vitenskap-med-gaute-einevoll
rss-overskuddsliv
nordnorsk-historie
tidlose-historier
rss-inn-til-kjernen-med-sunniva-rose
dekodet-2
kvinnehelsepodden
grunnstoffene
fjellsportpodden
rss-nysgjerrige-norge