Conference Agenda

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Session Overview
Session
C 4: Demos: Showcasing new technical developments
Time:
Thursday, 19/Mar/2015:
14:00 - 15:30

Session Chair: Alexander Wenz, University of Essex
Location: Room 158
Fachhochschule Köln/ Cologne University of Applied Sciences
Claudiusstr. 1, 50678 Cologne

Presentations

nodeGame: a tool for real-time on-line behavioral experiments

Stefano Balietti

ETH Zurich, Switzerland

Relevance & Research Question: The last fifty years experimental research in economics, sociology, and social psychology has been conducted at university laboratories, with restricted subject pools, and limited numbers of participants per experimental session. This research has led to important scientific progress. However, the rapid development of Internet-related technologies makes it possible to overcome some important limitations of traditional experiments. This abstract introduces a methodological contribution, a software named nodeGame (http://nodegame.org).

Methods & Data: NodeGame is a free, open-source library developed at ETH Zürich, which allows to design and implement behavioral experiments directly in the browser window. It is now a 3-year old project, and it is still under active development. NodeGame is a programming library written HTML 5 JavaScript, with support for Web-Sockets. It allows to handle thousands of simultaneous participants connected to the same or different experiments. NodeGame is also cross-browser, and cross-device, meaning that the same experiment can run smoothly on desktop computers, as well as on mobile devices. Moreover, it integrates smoothly with on-line recruitment web sites, such as Amazon Mechanical Turk. NodeGame helps solving the most common problems in running experiment on-line: browser incompatibilities, lagged connections, disconnecting players, creating waiting rooms, etc. Moreover, in nodeGame it is easy to add artificial computer-controlled clients (bots) into running experiments, preventing losing session-data in case of prolonged disconnections, or to test artificial intelligence algorithms playing against humans.

Results: Public goods games with and without assortative matching, ultimatum games, and creativity tasks has been conducted successfully on-line and in the lab. The results of one or more experiments will be presented.

Added Value: Given the lower cost of on-line behavioral research, the added value of software like nodeGame is the possibility to conduct calibration of experimental parameters to an extent that is not possible in the lab, due to budgetary and time constraints. NodeGame introduces a number of methodological improvements for conducting on-line behavioral research. It represents a step in the direction of what some researchers have described as “The Future of Social Experimenting”: rapid hypothesis generation and testing with the integration of computer simulations and social experiments.
Balietti-nodeGame-209.pdf

Automatic analysis of open questions in market research

Johannes Hercher, Joao Filipe Baigger

Rogator AG, Germany

Relevance & Research Question: Rogator RogTCS is a system for semi-automatic identification, exploration and visualization of topics and sentiment in text collections mainly generated by open questions in surveys.

Methods & Data: The application combines a number of proven computational methods to an innovative, inductive approach. A key role is played by the automatic linguistic processing of the entries, the sentiment analysis, collocation identification, vector models of information retrieval, latent semantic indexing, text clustering methods, keyword analysis, and various visualization techniques. The typical text material processed by RogTCS consists of short textual answers and comments usually derived from open questions.

Results: The system has been designed to use as few language- and domain-specific resources as possible in order to enable the processing of of text in different languages, as well as to avoid the construction of ontologies, sentiment lexica, etc. Instead, it utilizes statistical methods that have been carefully tuned in order to give a faithful representation of the content of the input data, condensing them in topics and sentiments into a manageable amount of graphs, numerical indicators and tables.

Added Value: Rogator RogTCS, is intended for fast and cost-effective analysis of open questions in market research. RogTCS offers market researchers an alternative to the time-consuming and expensive manual coding of answers to open questions, which involves the creation and application of a specialized code plan for each question. RogTCS is designed to produce highly satisfactory results without any manual intervention, so that a rough analysis of a text collection can be generated within a few seconds. If necessary, the initial analysis can then be refined by users in an interactive, semi-automatic procedure. In theory, the application range can be expanded to the analysis of nearly any kind of electronic text collection that contains enough material for the statistical analysis. Possible applications, among others, include the analysis of Twitter tweets, online discussion boards, product reviews, or any other material obtained from diverse social media platforms.

A Near Real-Time Application for Twitter Data Analysis

Zinayida Petrushyna1, Alexandra Chueva2, Ralf Klamma3, Joachim Lanfermann4

1RWTH Aachen University, Germany; 2RWTH Aachen University, Germany, e-dynamics GmbH, Aachen, Germany; 3RWTH Aachen University, Germany; 4e-dynamics GmbH

Relevance and Research Question: Twitter is a source of huge amount of interesting and relevant data about nearly any topic in the world. Though democracy of publishing enables advertisers, spammers and chatters to soil information in Twitter. However, data analysis required for retrieving useful information from tweets is time-consuming. Therefore we have designed a software architecture that is able to provide near real-time data analysis solution.

Methods and Data: We base our architecture on a distributed real-time computational framework Apache Storm. The data are stored in the NoSQL document-oriented database Mongo DB that receives tweets from the Twitter Search API and the Twitter Streaming API. Tweets are analyzed according to given metrics in a near real-time manner. We visualize results applying d3.js JavaScript library.

Results: We design and develop a near real-time application for Twitter data analysis. After that we test our application on number of conferences and get promising results. For example, 500 tweets are analyzed in 2 minutes. Under analysis we understand text mining of a tweet content, ranking of a tweet according to its impact on the audience and its storage to MongoDB.

Added Value: The proposed software architecture can be used for data analysis of various Social Media data. It is especially useful for companies to build cloud-based solutions for monitoring and analyzing a big amount of Social Media data related to companies at a near real-time.

Petrushyna-A Near Real-Time Application for Twitter Data Analysis-160.pdf

The design for an advanced, multi-country, web-based survey and coding tool for occupations in ISCO-08

Kea Tijdens

University of Amsterdam, Netherlands, The

Relevance & Research Question: This paper discusses the design for an advanced, multi-country, web-based occupational survey and coding tool for ISCO-08. This includes the coding of open text questions as well as the use of closed format questions using look-up tables with text string matching or search trees.

Methods & Data: For an auto-coder applying machine learning algorithms a large volume, multilingual training set is required. This database falls apart into two components, one with individual level data, consisting of merged and harmonized survey data from as many surveys as available, including the raw text data. The second is an occupation level database and consists of coding indexes, occupation databases of, job titles and job descriptions.

Results: The explorative review of the possibilities to build such a survey and coding tool is positive. Autocoders have been applied in Germany and the USA (see Bethmann et al 2014; Cheeseman 2014). Web surveys have been using look-up databases for self-identification of occupations (Tijdens 2014). Some survey holders have already expressed their willingness to put their raw text plus codes at the disposal of the project. Multilingual occupational databases are available, and job titles and job descriptions will be collected from job boards. The project aims to cover 35 languages in 99 countries.

Added Value: A web-based survey and coding tool for so many countries and languages is currently not available. In addition the tool will be used for coding of industries in NACE2.0, educationand fields of education in ISCED_2011, and aims to apply social stratification indicators. This paper builds on work done on behalf of a proposal for such a tool, submitted for funding to the European Union’s Horizon2020 program. If funded, this tool will meet the demand of survey holders for cross-country harmonized, fast, high-quality and cost-effective surveying and coding of occupations.
Tijdens-The design for an advanced, multi-country, web-based survey and coding tool for occupations-184.pdf

Getting closer to the moment of truth with qualitative online and mobile diaries

Zacharias de Groote

Liveloop GmbH, Germany

Relevance & Research Question: Systematic diary approaches enable researchers to gain a better understanding of the lifeworld of research participants. Today, new methodological and technical developments promise to provide new opportunities to get closer to the moment of truth in online qualitative research projects.

Methods and Data: We will showcase a working demo of a qualitative online-mobile diary with a combination of one-time and recurring tasks, enhanced with picture uploads, user generated video recordings, creative exercises and individual webcam interviews.

Results: The practical example of a combined online and mobile diary provided will demonstrate how a research diary benefits from the flexibility and potential of most recent digital qualitative methods and technological advancements.

Added Value: The newly developed software showcased provides researchers with new opportunities to engage their target audiences in ethnographical, customer experience and usability projects – enabling them to dig deeper into the who, where, what and when with online and mobile diary approaches.


 
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