Sentiment Quiz Announces Winners and Tackles New Research Challenges

In mid-July we launched Sentiment Quiz, an application for Facebook Platform in the tradition of games with a purpose. In the meantime, more than 1400 users installed the game and about 300 users are active each month. Sentiment Quiz aims to motivate people to evaluate the sentiment of terms and sentences in an entertaining way, incorporating a number of game design principles into the application. Users enjoy the experience of completing useful tasks. We store the users' evaluations and use them to generate so called "tagged dictionaries", which are a common component of Natural Language Processing (NLP).

In the first phase, users evaluated sentences from the archive of the US Election 2008 Web Monitor project. The sentences were filtered to contain a reference to a single candidate for the recent US presidential election. Users were then asked to evaluate if the sentences expressed sentiment towards the mentioned candidate. In total we collected about 63,000 evaluations on more than 4,000 sentences. A sample of about 1,000 sentences builds the basis for further research within our NLP group.

With the end of the presidential election campaign, we finished this first phase of Sentiment Quiz and use the opportunity to announce the winners while relaunching the game with new tasks and features. The following winners and prizes were drawn from each month's Top 3 players.

1. Camilla Neppl Huber (Planet Earth DVD Series)
2. Birgit Klammer (Environmental Online Communication)
3. Fiorella Vidoli (Book on Costa Rican National Park)
4. Herti Schuster (Tropical Station La Gamba Certificate)

Congratulations, and a big thank you to all Sentiment Quiz players and their continuous support.

In the second phase, Sentiment Quiz continues with a new challenge: Building tagged dictionaries for multiple languages. We extended the game to support German, Spanish, French, Italian, Portuguese and Russian (in addition to English). We hope to attract more players worldwide this way. At the moment more than 35,000 different terms and definitions for the various languages are waiting to be evaluated! So, if you haven't done so already, this is your opportunity to try out the game and help us annotate these terms!