Yes, it worked for me. Well, I highlighted the link, right click, "save link as..." to download the file.
There's no bonus. What they tell you you've earned at the end level is what you're getting. Like five bucks an hour, iirc?
x8 just posted a large batch. Title: Check Executive Data Requester: x8 Data [AW6OKFW9O4LL0] (TO) Description: Given an Executive's name, title, and company, check or find the data in our database. Reward: $0.05 Qualifications: HIT approval rate (%) is not less than 97 Link: https://www.mturk.com/mturk/preview?groupId=2KYZBAT2D5NQEOHTNYRJN5T0QVL26O [size=-2]Powered by non-amazonian script monkeys [/size]
Hey everyone, I just posted 1,400 HITs and they should really fly for everyone. They are pretty self explanatory and should lead to a fairly high hourly rate. Search "x8 Data" to find them, I really appreciate the help.
You might get an answer faster if you post here. http://mturkforum.com/showthread.php?6242-x8-Data-Company/page21
Try asking in his thread, though I did ask for you. http://mturkforum.com/showthread.php?6242-x8-Data-Company&p=158028#post158028
A nice couple of bucks from x8 to wrap up the data. I'm cool with that. I hope tomorrow gives me a little more to work with, but I'll take what I got today!
Here's an interesting article about the happiest and saddest places in the US according to twitter: http://www.cnn.com/2013/02/19/tech/social-media/twitter-happiness/index.html?hpt=hp_c1 The data is based off mTurk sentiment ratings. Here's the report: http://arxiv.org/pdf/1302.3299.pdf "To measure sentiment (hereafter happiness) in these areas from the corpus of words collected, we use the Language Assessment by Mechanical Turk (LabMT) word list (available online in the supplementary material of [11]), assembled by combining the 5,000 most frequent words occurring in each of four text sources: Google Books (English), music lyrics, the New York Times and Twitter. A total of roughly 10,000 of these individual words have been scored by users of Amazon’s Mechanical Turk service on a scale of 1 (sad) to 9 (happy), resulting in a measure of average happiness for each given word [23]." I just found it a bit interesting how the work we do on mTurk shows up in the "real world".