Saturday, June 18, 2016

Best Reviewer Award

And, here's the certificate! Nice and pixely.

Nat Poor, Best Paper Reviewer!

Wednesday, June 15, 2016

Recent Travel

I've been to Germany for ICWSM 2016, then Paris, then Hong Kong, then Japan for ICA 2016. You can see some of my travel photos in Instagram. 4 weeks on the road.

ICA 2016, Fukuoka, Japan

Had a great and busy time at ICA 2016: one paper, one panel presentation, moderated a session, and won an award! (Google is being impossible with photos and tables as usual. So much for interfaces.)

I was lucky enough to be invited to speak on the new Computational Methods panel, for the CM interest group. I tried to give the crowd an exhortation to engaging with such methods, because we as social scientists have a lot to offer computational analyses. You can see the slides in SlideShare, but I don't spell it all out in the slides when I present. My presentation got a nice tweet too!

Presenting on the Computational Methods panel.
As part of the Games Division pre-conference in Tokyo at Nihon University (I love the neighborhood there, the Ekoda stop on the Seibu-Ikebukuro line), we all went to Akihabara, and of course we saw and did cool things, like engage in deep discourse with Mario, the working-class Italian-Japanese plumber.

"You don't think quantitative and qualitative methods
are complementary? Explain!"

I also was lucky enough to run into Sanrio's Gudetama in Hong Kong and then again in Japan.


I also won the very first "Best Reviewer Award" for the ICA Games Division, which is a great honor and we need more motivations like this, as reviews are an important part of the quality of the discipline.

Awards for organizing, best papers, and best reviewer!

CityU Hong Kong Summer School

Had a great time teaching a class and also an impromptu session on Gephi at the City University of Hong Kong's Summer School in Social Science Research! It's in the Department of Media and Communication, and run by my friend Dr. Marko Skoric. The main instructor was Dr. Wouter van Atteveldt, who is awesome and has great hats as you can see.

I also was fortunate enough to attend CityU's Workshop on Computational Approaches to Big Data in the Social Sciences and Humanities, which was great and had lots of great speakers.

Me, showing some great students a few things about Gephi.

The three of us in front of the department sign.

Tuesday, April 19, 2016

When Companies Fail The Data

Recently, I have encountered three examples of how giant data gathering companies have completely failed to use that data in any sensible way. The companies are Facebook, Amazon, and Pandora.

Facebook served me an ad that said Sylvester Stallone had died without actually using any direct "passed away" words or phrases (since he hadn't). This is offensive, it's a lie, and I am not a particular fan of Stallone's films although Rocky is a classic (but Cop Land, are you kidding me?).

Amazon continues to insist I might want Amazon Student, despite my explaining to them over a year ago that I am not a student (and my account is 16 years old). 

Pandora continues to serve me ads in Spanish (which I do speak but I'm not fluent) and for cars (I don't own a car). I even told a tech support person this and he said there was nothing he could do about it.

These examples all point to the issue of not using the data you have and not taking direct information (data) from the user when the user gives it to you (which is much easier than trying to infer it, if indeed the user is truthful). 

The Facebook ad is hugely problematic. The conclusions are that:
  1. The people at Facebook do not care about the accuracy of the ads they serve.
  2. The people at Facebook do not care if the ads they serve are purely for emotional manipulation.
  3. The people at Facebook are not using the 11 years of data they have on me to realize that I would not like this ad because:
    1. I do not like advertisements that lie.
    2. I do not like advertisements that manipulate.
    3. I am not a fan of Sylvester Stallone.
They have the data. They aren't using it.

That Amazon thinks I am student, even though I've told them I am not and even though they can see my account has been buying stuff for 16 years, is bizarre. I told a tech support person that I am not a student. Yet, the algorithm they maintain apparently is not given this information at all and continues to annoy me with an extra page when I am trying to check out (yes, a good problem to have). 

They have the data. They aren't using it.

I grew up listening to FM radio, so I'm used to radio with ads. I so far use the free version of Pandora which has ads, and I think that's fine (people should get paid). However, I am not fluent in Spanish, so Spanish language ads are wasted on me (it's a waste of money to those advertisers) and also I don't own a car, but I get ads for car service stuff (I don't even remember what, but the problem is the same). So, since I think it would actually be nice to be served appropriate ads, and that those companies are getting their money's worth, I text-chatted with a Pandora text person. He said he had no way to mark my account indicating that I do not speak Spanish.

And yes, I know the image is an ad for Flonase, not for cars, it just happens to have a car--I use it here because it's in Spanish (although I am more complaining about the audio ads, images clearly work better here).

Again, they have the data. They aren't using it.

For me, these are good problems to have. I have internet access and can buy books (although if it's new I'll try to get it from my local non-chain bookstore -- yes I am serious). But all of these issues are annoying, not just because inappropriate content is being served to me, but that the companies should know better than to do that, and in all cases, they either have enough information on me, or I try to give it to them, and they still can't do it. And that's the distressing part: in this age of total information, some of the biggest information companies still don't know how to use data.

Thursday, April 14, 2016

For A Decent CSV Spreadsheet App

All I want is a decent spreadsheet app that does not insist on mangling my CSV files, which often have ID numbers in them which I might want to be viewed as text and not numbers. Apple's Numbers is maddening (you have to export to CSV, extra steps, and it has a relatively low row limit, 65,535 I believe) and Microsoft's Excel is a little better but I'll use it as an example here of What You See Is Not What You Get.

I am doing some work on cities and (county-level) FIPS codes (so, in the US, FIPS codes are Federal level identifiers useful for a lot of things, they identify counties). Some cities are large and lie in more than one county. Some of the data I have deals with cities, and the income data is on the county level, so I need to map from cities to county FIPS.

Excel did not make this easy.

The file I grabbed off the net to help me map cities to FIPS (counties) quite correctly listed all the appropriate FIPS codes for each city. I needed to narrow this down to one (Wikipedia helped a lot, the geopolitical Wikipedians are nitpickers).

FIPS codes for counties have two parts, two leading digits for the state and then three digits for the county. So all FIPS codes that start with 36, for instance, are counties in New York state.

The format from my source file looked like this:

Raleigh, NC:    37063,183
Birmingham, AL: 01073,117
New York, NY:   36005,047,061,081,085

(I am pretty sure those 5 numbers for NYC are the 5 boroughs, I know Brooklyn is its own county, Kings county.)

Excel, however, would show the following in the main view, interpreting these IDs as numbers--errors are in the parentheses, A, B, and C:
Raleigh, NC:    37,063,183 (A)
Birmingham, AL: 1,073,117 (A,B)
New York, NY:   36,005,047,061,081,000 (A,C)

  1. Added a comma that isn't there.
  2. Dropped leading zero.
  3. Rounded rightside digits.
So there are at least three issues there, but the most difficult one is that it put a comma in after the two digits for the state, initially making me think that indeed the source file had a comma after the state component of the FIPS code. It did not. Parsing the file did not work.

That was all extremely infuriating, and reminded me of Microsoft's Clippy, where the coders thought they always knew better than you. Granted, a lot of apps and even programming language packages try to be smart and guess formats, and yes this can be useful. But if there are leading zeros and commas in odd places (or not) and it's a CSV (text) file, there could be a default "read CSV as text". Of course it seems that neither of these two programs have been coded to play nice with CSV files.

As such, they are not overly useful data science tools.

Tuesday, April 5, 2016

Case Study in Data Ethics at Data & Society

I am pleased to announce that a case study on data ethics, by myself and co-author Dr. Roei Davidson, has been published at Data & Society! Titled "The Ethics of Using Hacked Data: Patreon’s Data Hack and Academic Data Standards", we look at issues around using hacked data (or not).

Basically, no.

But I wanted to. See the paper for details! (It's free and concise, don't worry.)