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Analyze Your HN Posts with Watson User Modeling

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21–30 of 56 posts

Re: Analyze Your HN Posts with Watson User Modeling

#24
post #8

This is very cool. Although I don't know how accurate this is, if calibrated and tuned to yield a certain degree of accuracy it will have a variety of use cases. For example -- When interviewing someone, being able to run their github username (if known of course) to analyze their commit messages, comments, discussions. Or even their hn, reddit, twitter user names (if the usernames are linked with their first names,…

>>It will potentially help to identify candidates that are downright rude, arrogant etc.

This sounds very dangerous to me. I assume when recruiters and/or lead engineers decide to reach out to me via LinkedIn, they did their homework on me. I purposely link to enough stuff for them to realize "smtddr" is my handle. The same blog & youtube channel in my HN profile is also in my LinkedIn. But I expect a human to look, not some computer judging me. I can totally see people getting lazy and just doing stuff like only filtering for people who rate 80% on openness or something. Then everyone will start grooming their posts simply to get positive results... then someone will create a social website that claims to block those scanners so people can say whatever they want.

It just forces people underground and the filters won't work anymore since at that point you might as well assume everyone is gaming the system.

(fwiw, I'm also against standardized tests. Anything that forces a whole group of people to start grooming themselves for a very specific measurement kills diversity, imho. Since the very term "standardized" kinda goes against the concept of diverse... and people become lazy and just rely on such tests to make or break the deal)

Re: Analyze Your HN Posts with Watson User Modeling

#27
post #10

Is there any insight as to how this works? I got an Openness rating of 97% and a Harmony rating of 100%, both of which I know are not true. (I also received a Love rating of 1% under my Needs, although that's pretty accurate.)

I also get rather high Openess and harmony scores, though I'm particularly amused that Hedonism is scored. How can I be 72% sympathetic and 47% coopoerative but not agreeable? The IBM documentation doesn't really say anything about how these numbers are calculated

I don't even have scores for stability and practicality. Hmmm.

Re: Analyze Your HN Posts with Watson User Modeling

#28
post #25

Gregariousness 8% Given my name I found that funny Also I know it's wildly inaccurate on several characteristics, but maybe my persona here is like that! Interesting.

Yeah, I think it's worth keeping in mind it's scoring you based on your comments on a particular kind of site which tends towards certain kinds of interactions.

Re: Analyze Your HN Posts with Watson User Modeling

#29
post #8

This is very cool. Although I don't know how accurate this is, if calibrated and tuned to yield a certain degree of accuracy it will have a variety of use cases. For example -- When interviewing someone, being able to run their github username (if known of course) to analyze their commit messages, comments, discussions. Or even their hn, reddit, twitter user names (if the usernames are linked with their first names,…

You can test the accuracy yourself: http://www.outofservice.com/bigfive/ . It's a good idea to take that test before looking at OP's results.

Re: Analyze Your HN Posts with Watson User Modeling

#30
post #22

Would love to see something like this for reddit, where I'm a more active poster on a wider variety of issues.

something like this? http://www.redditinvestigator.com/

Interesting! I like the fun guessed data. I am from Canada, game of choice is ping pong, nor do I have children.

"""

Probably from: Canada

Support OWS: Probably no or doesn't care.

Children: I do not think so...

Gamer: Only pong probably...

Like trees: Must be in a really good mood.

Behavior: Candidate as replace for Good Guy Greg

"""

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