|MAIN SYMPOSIUM SUBMISSIONS||August 1st, 2018 (23.59 Hawaii Standard Time)||Deadline for abstract submission|
|September 8th, 2018||Notification of acceptance for main symposium submissions|
|WORKSHOP AND TUTORIAL PROPOSALS||August 1st, 2018 (23.59 Hawaii Standard Time)||Deadline for workshop and tutorial proposals submission|
|August 8th, 2018||Workshops and tutorials acceptance notification|
|DATASET CHALLENGE SUBMISSIONS||September 1st, 2018 (23.59 Hawaii Standard Time)||Dataset challenge submission|
|September 15th, 2018||Dataset challenge notifications|
|DOCTORAL CONSORTIUM SUBMISSIONS||September 1st, 2018 (23.59 Hawaii Standard Time)||Doctoral consortium submission|
|September 15th, 2018||Doctoral consortium notification|
|TRAVEL GRANT APPLICATIONS||September 1st, 2018 (23.59 Hawaii Standard Time)||Deadline for travel grant applications (for all submission types)|
|September 8th, 2018||Travel grant notifications (main symposium and workshop/tutorials)|
|September 15th, 2018||Travel grant notifications (dataset challenge and doctoral consortium)|
|SYMPOSIUM DATES||December 5th, 2018||Pre-symposium day (workshops/tutorials/doctoral consortium/dataset challenge)|
|December 6th-7th, 2018||Main symposium|
This is the second in a series of three symposia that discuss societal challenges in computational social sciences. This year, the focus will be on “Bias and Discrimination” (Cologne, 2018). The focus of last year was “Inequality and Imbalance” (London, 2017) and the next year’s symposium of this series will focus on “Polarization and Radicalization” (Zurich, 2019).
With these three events we provide a platform to address one of the most pressing challenges in today’s digital society: understanding the role that digital technologies, the Web, and the algorithms used therein play in the mediation and creation of inequalities, discrimination and polarization.
By addressing inequality as the topical issue for the symposium series we intend to explore how CSS can contribute to opening up new ways of thinking about, of measuring, detecting and coping with social inequality, discrimination, and polarization. We will discuss how divides and inequalities are proliferated in digital society, how social cleavages can be observed via web data, how the organizational structure of the web itself generates biases and inequality, and how, in contrast, algorithms and computational tools might help to reduce discrimination and inequality. We will also investigate how bias and unequal social structures foster political tension and polarization, including issues of radicalization and hate.
The Symposium series is funded by the Volkswagen Foundation.
The Euro CSS 2018 will be a three-day event consisting of:
You can register online via Eventbrite (click here) until November 21st, 2018. Paper/poster submission is not a requirement for attendance.
The registration fee is €50. It covers the participation fee and coffee breaks for the pre-symposium day (December 5th, 2018) as well as participation fee, coffee breaks and lunch for the two main symposium days (December 6th-7th, 2018). On the pre-symposium day lunch on own expenses will be available at the venue. To secure a place for the pre-symposium day, don’t forget to register early – a number of free registrations be given on a first come, first served basis.
Attendees can receive refunds up to 9 days before the event starts (November 26th, 2018). Cancellation must be made in writing by sending an email to firstname.lastname@example.org
|Luca Maria Aiello, NOKIA Bell Labs||Matteo Magnani, Uppsala University|
|Fred Amblard, University Toulouse 1 Capitole||Yelena Mejova, Qatar Computing Research Institute|
|Jisun An, Hamad Bin Khalifa University||Stasa Milojevic, Indiana University|
|Pablo Aragón, Universitat Pompeu Fabra||John Mohr, University of California, Santa Barbara|
|Martin Atzmueller, Tilburg University||Sophie Muetzel, University of Lucerne|
|Pablo Barberá, New York University||Sanna Ojanpera, University of Oxford|
|Andrea Baronchelli, City, University of London||Elisa Omodei, UNICEF|
|Cody Buntain, University of Maryland||Sarah Otner, Imperial College Business School|
|Michele Catasta, Stanford University||Symeon Papadopoulos, Information Technologies Institute|
|Fabio Celli, University of Trento||Christian Pentzold, Chemnitz University of Technology|
|Rense Corten, Utrecht University||Alessandro Provetti, Birkbeck, University of London|
|Michele Coscia, Harvard University||Hemant Purohit, George Mason University|
|Sebastian Deri, Cornell University||Cornelius Puschmann, Alexander von Humboldt Institute for Internet and Society|
|Victor M Eguiluz, Institute for Cross-Disciplinary Physics and Complex Systems (CSIC-UIB)||Miriam Redi, Yahoo|
|Emilio Ferrara, University of Southern California||Luca Rossi, IT University of Copenhagen|
|Vanessa Frias-Martinez, University of Maryland||Camille Roth, National Center for Scientific Research (CNRS)|
|David Garcia, ETH Zurich||Giancarlo Ruffo, University of Turin|
|Kiran Garimella, Ecole polytechnique fédérale de Lausanne (EPFL)||Rossano Schifanella, University of Turin|
|Mathieu Génois, GESIS – Leibniz Institute for the Social Sciences||Ingo Scholtes, ETH Zurich|
|Kristina Gligoric, Ecole polytechnique fédérale de Lausanne (EPFL)||Xiaoling Shu, University of California, Davis|
|Przemyslaw Grabowicz, Max Planck Institute for Software Systems (MPI-SWS)||Emma Spiro, University of Washington|
|Raphael H. Heiberger, University of Bremen||Sebastian Stier, GESIS – Leibniz Institute for the Social Sciences|
|Laura Hollink, Centrum Wiskunde & Informatica||Carmen Vaca Ruiz, Escuela Superior Politécnica del Litoral (ESPOL)|
|Geert-Jan Houben, Delft University of Technology||George Valkanas, National and Kapodistrian University of Athens|
|Andreas Kaltenbrunner, Eurecat||Dani Villatoro, IIIA, Spanish Council for Scientific Research|
|Kazuhiro Kazama, Wakayama University||Ingmar Weber, Qatar Computing Research Institute|
|Brian Keegan, University of Colorado Boulder||Robert West, Ecole polytechnique fédérale de Lausanne (EPFL)|
|Katharina Kinder-Kurlanda, GESIS – Leibniz Institute for the Social Sciences||Gregor Wiedemann, Leipzig University|
|Andreas Koch, University of Salzburg||Christo Wilson, Northeastern University|
|Srijan Kumar, Standford University||Arkaitz Zubiaga, University of Warwick|
|Anders Larsson, University of Oslo|
Please note that the schedule is subject to change.
Venue: Cologne Marriott Hotel8:30 – 9:30
Doctoral Consortium (Part I)
Workshop:Linguistic Temporal Trajectory Analysis – A Dynamic Approach to Text Data (Part I)
Workshop:1st Workshop on Reframing Research (RefResh 2018) (Part I)
Workshop: 1-Click Reproducibility: Lessons Learned and Best Practices in the Computational Social Sciences
Tutorial:Computational Argumentation: Computational Analysis of Argumentation in Natural Language Text
Doctoral Consortium (Part II)
Workshop: Linguistic Temporal Trajectory Analysis – A Dynamic Approach to Text Data (Part II)
Workshop: 1st Workshop on Reframing Research (RefResh 2018) (Part II)
Workshop: Biases in Social Computing Data and Technology
Workshop: Synchronous Online Experiments
Tutorial: textnets. An R Package for Automated Text Analysis Using Network Techniques
Venue: Die Wohngemeinschaft20:00
Venue: Maternushaus8:15 – 9:30
9:30 – 9:45
12:10 – 12:50
Venue: Maternushaus9:30 – 9:45
Workshop: 1st Workshop on Reframing Research (RefResh 2018) < Click for more details
Organized by Andrea Mannocci (Open University), Francesco Osborne (Open University) & Paolo Manghi (Istituto di Scienza e Tecnologie dell’Informazione (ISTI)
Workshop: Linguistic Temporal Trajectory Analysis – A Dynamic Approach to Text Data < Click for more details
Organized by Bennett Kleinberg (University College London & University of Amsterdam), Isabelle van der Vegt (University College
London) & Maximilian Mozes (Technical University of Munich Germany)
Tutorial: textnets. An R Package for Automated Text Analysis Using Network Techniques < Click for more details
Organized by Friedolin Merhout (Duke University), Taylor Brown (Duke University) & Marcus Mann (Duke University)
Tutorial: Computational Argumentation: Computational Analysis of Argumentation in Natural Language Text < Click for more details
Organized by Henning Wachsmuth (Paderborn University)
Workshop: 1-Click Reproducibility: Lessons Learned and Best Practices in the Computational Social Sciences
Organized by Arnim Bleier (GESIS – Leibniz-Institute for the Social Sciences)
Workshop: Synchronous Online Experiments
Organized by Stefano Balietti (Microsoft Research)
Workshop: Biases in Social Computing Data and Technology
Organized by Jana Diesner (University of Illinois)
Analysing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking
Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Elissa Redmiles, Meeyoung Cha and Krishna Gummadi
Analyzing Racist Discourse on Facebook
Irfan Chaudhry and Anatoliy Gruzd
Biases in Bibliometric Network Data and the Measurement of Triadic Closure
Jinseok Kim and Jana Diesner
Combining Facebook and Traditional Survey Data to Nowcast Migrant Stocks in the United States
Monica Alexander, Kivan Polimis and Emilio Zagheni
Demonstrating Real-time, Transparency of Paid-for Political Ads on Social Media during a Political Campaign – A Case Study of 2018 Irish Referendum on the Eight Amendment
Liz Carolan, Craig Dwyer, Diane Payne and Killian McLoughlin
Ethics is a Smokescreen. Why Socially Just AI Innovation Requires a Rethinking of Technology,
Data and Society Beyond Ethics
Examining the Influence of Pro-vaccine and Anti-vaccine Videos on YouTube
Yunju Song and Anatoliy Gruzd
Finding Gender Bias in Web-based, High-trust Interactions
Pasquale De Meo, Iacopo Pozzana, Ylli Prifti and Alessandro Provetti
Fooling with Facts: Studying Anchoring Bias through a Large-scale Online Experiment
Jannie Reher and Taha Yasseri
Gender Bias in Sharenting: Both Men and Women Mention Sons More Often Than Daughters on Social Media
Elizaveta Sivak and Ivan Smirnov
Gender, Resources, and Status: An Empirically Grounded Model of Status Construction Theory
Hosting the Comfortably Exotic: Cosmopolitan Aspirations in the Sharing Economy
Identifying the Narrative Styles of YouTube’s Vloggers
Maximilian Mozes, Isabelle van der Vegt and Bennett Kleinberg
Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Large-Scale
Filipe N. Ribeiro, Lucas Henrique, Fabricio Benevenuto, Abhijnan Chakraborty, Juhi Kulshrestha, Mahmoudreza Babaei and Krishna P. Gummadi
Perceptions of Information Bias and Inequity Among Black Wikipedians
Boryung Ju and Brenton Stewart
Predicting Political Behavior and Attitudes Using Digital Trace Data
Ruben Bach, Christoph Kern, Ashley Amaya, Florian Keusch, Frauke Kreuter, Jan Hecht and Jonathan Heinemann
Simulating Income Distribution Inequalities in Ride-sharing Services
Eszter Bokanyi and Aniko Hannak
The Politics of Social Media Images: Potentials and Biases of Image Recognition Algorithms
for Studying Congressional Behavior
Carsten Schwemmer, Emily Bello-Pardo, Carly Knight, Stan Oklobdzija, Iacopo Pozzana, Martijn Schoonvelde and Jeff Lockhart
The Role of Suspended Accounts in Political Discussion on Social Media: Analysis of the 2017 French, UK and German Elections
Silvia Majo-Vazquez, Mariluz Congosto, Tom Nicholls and Rasmus Nielsen
Understanding How News Outlets Target Audiences
Erick Elejalde, Leo Ferres and Rossano Schifanella
Understanding the Linguistic Trajectory of Far-right Abusive Language
Bennett Kleinberg, Isabelle van der Vegt and Paul Gill
Urban Mobility and Gender Through Mobile Phone Data
Ciro Cattuto, Laetitia Gauvin, Michele Tizzoni, Andre Panison, Simone Piagesi, Leo Ferres, Natalia Adler, Stefaan Verhulst and Andrew Young
Using Internet Search Data to Examine the Relationship between Anti-Muslim and Pro-ISIS Sentiment in U.S. counties
Friedolin Merhout, Christopher Bail and Peng Ding
Vectors Against Social Discrimination
Orestis Papakyriakopoulos, Fabienne Marco and Simon Hegelich
A Socio-computational Examination of Gender Bias in Science
Brett Buttliere, Seren Yenikent and Kseniia Zviagintseva
Algorithms, Fairness, and Race: Comparing Human Recidivism Risk Assessment with the COMPAS Algorithm
Arpita Biswas, Marta Kołczyńska, Saana Rantanen and Polina Rozenshtein
Analyzing the Starbucks Arrest Controversy on Twitter
Rick Galeano, Katrin Galeano, Billy Spann and Dr. Nitin Agarwal
Are Women Present, Absent or in Disguise? Analyzing Gender Bias in the Spanish Wikipedia
Julià Minguillón, Julio Meneses, Sergi Fàbregues, Eduard Aibar and Núria Ferran-Ferrer
Assessing the Bias of the New Facebook API
Justin Chun-Ting Ho
Beyond Cyber-hate: Micro-determinants of ‘Emotionality’ of Digitally Mediated Interactions
Sławomir Mandes and Maja Sawicka
Bias in Information Flows: A Formal Typology and Empirical Investigation of Platforms’ Power
Pascal Jürgens and Birgit Stark
Big Data and India: Does Aadhaar Violate Right to Privacy?
Classifying Incivility in User Comments
Anke Stoll and Marc Ziegele
Gender Bias in Academic Publishing: Assessing the Gender Gap in Computational Social Science
Gender Related Participation Differences in Parliament: ‘To what extent do the speeches of women and men in the German Bundestag differ regarding to frequency, topic and gender neutrality?’
Gina-Gabriela Görner and Josef Holnburger
Geographical Trends in Research Conferences: Closed Clubs or Open Houses?
Andrea Mannocci, Francesco Osborne and Enrico Motta
Hate on the Internet
Natalie Alkiviadou and Andreas Andreou
How Political Actions Affect Wikipedia: The Case of the Turkish Wikipedia Ban
Seren Yenikent and Joachim Kimmerle
Impact of Recruiters’ Ideology on Gender, Caste, and Religion Based Discrimination in Online Job Process
Faiz Ahamad and Saista Perween
It’s All About Context: Selective Exposure and Fragmentation in the Swiss Political Twittersphere
Mapping out Violence Against Women and Girls (VAWG) on Twitter: The Case of India
Priya Kumar, Anatoliy Gruzd and Philip Mai
Media Bias Towards African-Americans Before and After the Charlottesville Rally – A Word Embeddings Approach
Julia Leschke, Manasa Rath and Carsten Schwemmer
Media-related Biases Before the 2018 Presidential Elections in Russia: A Comparison of Public
Agenda Issues Owned by V. Putin and A. Navalny
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views
Elisabeth Lex, Mario Wagner and Dominik Kowald
Model-centric Explanation as a Tool to Combat Algorithmic Bias. Perspective of the European Law
On the Interplay of Political Affiliations, Social Media Consumption and Devaluation of Minorities
Birte Schiffhauer and Madlen Preuß
Political Perceptions of Us vs. Them and the Influence of Digital Media Usage
Laura Burbach, Martina Ziefle and André Calero Valdez
Raising Awareness Among HR Stakeholders Against Discrimination in HR Analytics
Ride with Me – Ethnic Discrimination, Social Markets and the Sharing Economy
Jasper Tjaden, Carsten Schwemmer and Menusch Khadjavi
Separating the Wheat from the Chaff: Perceived Encounters and Confidence of Detecting Misinformation in Europe
Kadri Rootalu, Krista Lepik and Ragne Kõuts
Social and Contextual Biases in Tweeting. An Approach Based on Geographical Inference
Social Contagion in Ethnic Abusive Wearing During Periods of Increased Terrorist Activity
Christoph Spörlein, Elmar Schlueter and Pamina Noack
Studying Confirmation Bias in Hashtag Usage on Twitter
Dominik Kowald and Elisabeth Lex
Systematic Literature Review on Bias in Algorithmic Filtering
Aliya Iskenderova and Emese Domahidi
Testing Focus Theory on Online Data: The Case of Sentiment Analysis
Johannes Zschache and Martin Potthast
The (not so) Dynamic Nature of Political Partisanship: Insights from Italian Elections
Luca Rossi and Fabio Giglietto
The Determinants of Reputation Effects in C2C Online Markets: A Meta-analysis
Ruohuang Jiao, Wojtek Przepiorka and Vincent Buskens
There Can be Only One Truth: Ideological Segregation and Online News Communities in Ukraine
Mykola Makhortykh and Aleksandra Urman
Training Non-discriminatory Models
Przemyslaw Grabowicz and Luis Lafuerza
Uncovering Bias and Discrimination in Training Corpora for Machine Learning
Susan Leavy, Gerardine Meaney and Derek Greene
Useful and not so Useful Definitions of Discrimination by Human and Non-Human Algorithms
Voicing the Mute: Digital Culture and Dalit Activism in India
In the evening of December 5th, 2018, we welcome you to join us at the first Euro CSS Science Slam, a fun event with interesting science talks. The event will take place in Die Wohngemeinschaft. More details will be coming soon.
We welcome submissions in the intersection of the social sciences and the computer sciences, including (a) new approaches for understanding social phenomena and addressing societal challenges, (b) improving methods for computational social science, (c) and understanding the influence of the Web and digital technologies on society.
For the 2nd Symposium we are especially interested in:
Other related topics are explicitly welcome.
Extended abstracts should be submitted in English in pdf format to the EasyChair submission system:
Submissions should be abstracts of approx. 2-3 pages (up to 1000 words plus references and figures) summarizing the work to be presented. We encourage researchers to also submit abstracts of work that has already been published and/or submit work in progress. Please give a sufficiently detailed description of your work and your methods so we can adequately assess its relevance. Please consider that reviewers will be from an interdisciplinary community.
Each extended abstract will be reviewed by a Program Committee composed of experts in computational social science. Accepted submissions will be non-archival, i.e. there are no proceedings. Submissions will mostly be evaluated based on relevance and the potential to stimulate interesting discussions.
Submissions may be accepted as talks or posters.
Workshops will give the opportunity to meet and discuss issues with a selected focus, providing an excellent forum for exploring emerging approaches and task areas and bridging the gaps between the social science and technology fields.
Tutorials will be an opportunity for cross-disciplinary engagement and a deeper understanding of new tools, techniques, and research methodologies. Tutorials should provide either an in-depth look at an emerging technique or software package or a broad summary of an important direction in the field.
Members of all segments of the social media research community are encouraged to submit proposals. To foster interaction and exchange of ideas, the workshops will be kept small, with 30 participants maximum.
Workshops and tutorials proposal submission deadline: August 1st, 2018
Workshops and tutorials acceptance notification: August 8th, 2018
Workshops and tutorials day: December 5th, 2018
Please submit your workshop or tutorial proposal by sending a PDF file via email to email@example.com
Proposals for workshops and tutorials should be no more than three (3) pages in length (10pt, single column, with reasonable margins), written in English, and should contain the following:
Workshops and tutorials will be selected based on the following criteria:
This year the symposium will also feature a doctoral consortium, which will take place on the pre-symposium day December 5th, 2018.
PhD candidates from all disciplines that work on topics related to computational social science are welcome. We are delighted to have two distinguished researchers acting as mentors during the event: Sandra González-Bailón and Jürgen Pfeffer.
If you are interested in connecting with other PhD candidates in the field and receiving feedback on your PhD topic, please consider applying for the doctoral consortium by submitting a description of your work. Based on the submissions we will select participants to present their work in the consortium meeting and to participate in discussions and mentoring sessions. We are interested in all topics that fit into computational social science, the topic does not have to be directly related to this year’s symposium theme “bias and discrimination”.
Applications should be submitted via Easychair: https://easychair.org/conferences/?conf=csssymposium18
They should be PDF files of up to approx. 1000 words, including the following information:
Deadline for submissions is September 1st, 2018.
Participants presenting in the doctoral consortium can also apply for travel grants. The number of grants as well as the amount per grant is limited. Please see more detailed information here.
For the first Dataset Challenge as part of our European Symposium on Societal Challenges in CSS, we invite researchers and practitioners from the spectrum of Social and Computational Sciences to approach a common dataset. The aim of this challenge is to encourage creative engagement with data from pluralistic perspectives in order to foster dialogue across disciplines. We envision that this challenge will lead to fruitful, in-depth discussions during the symposium, as participants will have a shared basis through interaction with the dataset(s), but varying ideas of where to go with it.
The research questions and methods applied to the dataset(s) can be drawn from the broad spectrum of computational social science. They should ideally be related to this year’s symposium topic “bias and discrimination” and approach new ways of learning about bias, be it by putting forward new research designs and questions, or by applying state-of-the-art methods to identify data patterns that can inform theory building. Topics of interest include but are not limited to:
We ask participants of the dataset challenge to be creative in their approach to the data.
The work presented at the symposium can be early stage, but should be methodically sound and provide either preliminary insights into an interesting research question or first inductively-reached conclusions of systematic patterns of bias in the dataset. These can also be on a meta-level or may be designated to positioning the work in broader theoretical contexts, e.g., about biases in the data collection. We especially invite inventive combinations with other datasets (e.g., digital trace data, survey data, multimedia data, multilingual data, data from other case studies).
Submissions selected by our review committee will be presented in a special dataset challenge session at the pre-symposium day (December 5th, 2018). After the presentations, participants (and audience members) are invited to engage in discourse about the presented approaches and possible future work and collaborations.
A jury will select the best presentation (including any created resources, such as secondary datasets or analysis code) to be awarded the very first Euro CSS Dataset Challenge Award of 500 Euros sponsored by EPJ Data Science.
Extended abstracts of work in progress or completed projects based on the suggested dataset(s) should be submitted in English in PDF format via the EasyChair submission system: https://easychair.org/conferences/?conf=csssymposium18
Submissions should be abstracts of approx. 2-3 pages (maximum up to 1000 words plus references and figures).
The abstract submissions will be evaluated based on originality and the potential to stimulate interesting discussions, but should also consider the feasibility of the proposed idea. Please consider that reviewers will be from an interdisciplinary community, therefore describe your ideas, approaches and potential complementary datasets in sufficient detail.
Deadline for submissions to the dataset challenge is September 1st, 2018. The final work will be presented at the symposium.
Please see the additional information for how to apply to travel grants here.
The following datasets all relate to the topic of political communication in Germany, particularly around the German federal election which took place in September 2017. Participants of the challenge should make use of one or more of the main datasets listed below and are encouraged to combine them or compare them among each other. Additional datasets listed further below may also be used, as well as any other datasets of the participants’ choice (qualitative, quantitative, textual, multimedia, etc.).
(participants must choose at least one of these – or combine them with other datasets)
1. Algorithmwatch’s donated search results dataset for the German Federal Elections 2017
How similar are the results of Google searches for the names of political parties and candidates for different users? What role does personalisation play in these differences?
The Datenspende: BTW17 is a crowdsourced project which is a cooperation of AlgorithmWatch with media regulatory authorities of the German state and other partners.
Through a browser plugin, users donate their search result data to the project. The plugin conducts searches (on Google Web search and Google News search) for a fixed set of search terms (described below) through the browser of each participant and returns the first page of search results back to AlgorithmWatch’s servers. In addition to the search results, the approximate location of the user (city-level), the time of the query and whether the user is logged into their Google account or not (but no personally identifiable information) is also logged.
More than 4000 participants have donated more than 5 million search results in the period around the German federal elections of 2017. Anonymized search results data has been made publicly available.
The search terms comprise of candidate names or party names / abbreviations. The exact list of search terms (two types):
‘Angela Merkel’, ‘Martin Schulz’, ‘Christian Lindner’, ‘Katrin Goering-Eckardt’, ‘Cem Özdemir’, ‘Sahra Wagenknecht’, ‘Dietmar Bartsch’, ‘Alice Weidel’, ‘Alexander Gauland’
‘CDU’, ‘CSU’, ‘SPD’, ‘FDP’, ‘Bündnis 90 / Die Grünen’, ‘Die Linke, ‘AFD’
Data and its format
The search data for each day can be downloaded as a 7z-packed file from https://datenspende.algorithmwatch.org/data.html.
It is formatted as json objects consisting of two parts:
(i) Search queries made at day X: Each query includes information about the type of search (web or news), location, login status, language, search term, timestamp and the result hash.
(ii) List of search results: Multiple queries could lead to the same list of search results being shown to the users. Therefore the result hash in the query (described above) identifies the exact list of search results shown to the users.
More information about the data formats can be found at: https://datenspende.algorithmwatch.org/data.html
First publications on the data are listed here: https://datenspende.algorithmwatch.org/en/index.html#ergebnisse
2. Abgeordnetenwatch.de – All members of German parliaments and their votes + more
An API is provided to query several aspects of politicians’ and parties’ metadata in the German Bundestag (BT) and the German state parliaments. While the time range varies, BT votes are available from 2005 and for most state parliaments at least for the last couple of years. Information is available about all elected officials in these parliaments, their metadata and their voting behavior in all the polls.
The general description of the possible API calls can be found at:
http://translate.google.com/translate?js=n&sl=de&tl=destination_language&u=https://www.abgeordnetenwatch.de/api (EN w/ Gtranslate).
Below we outline some of the important details and options for the different API calls (some of which are not explained exhaustively on the website):
https://www.abgeordnetenwatch.de/api/parliaments.json (.xml also possible) provides a good entry point as it gets information about all parliaments – per legislature – and allows to get all that parliament’s deputies, candidates, constituencies, polls and committees in separate calls either by name or uuid (See individual “parliaments” and then “datasets” entries under the json root node). Importantly, note that all calls for these lists have also subset methods (defined in the “meta” header”) that lets you dive deeper into the data.
https://www.abgeordnetenwatch.de/api/parliament/bundestag/polls.json for instance retrieves all polls in the BT with metadata (such as a “topics” field, which comes from a fixed category vocabulary) and votes per party, which can be expanded to votes per individal member via the …polls.json?subsets=votes call.
Detailed information about individual politicans can also be retrieved, for instance via https://www.abgeordnetenwatch.de/api/parliament/bundestag/profile/jens-spahn/profile.json
Apart from official parliamentary process data there is also additional data on questions asked by users to politicians on the platform abgeordnetenwatch.de itself, which in many cases have been answered by the politicians themselves.
3. Social media content generated by German politicians during the German federal election 2017 (BTW17)
This dataset contains results from the social media monitoring for the German federal election campaign 2017. The project collected the tweets of political candidates, organizations and other gatekeepers, as well as the engagement of users with these contents in the form of retweets and @-mentions. In addition, all messages on Twitter containing at least one keyword denoting central political topics were also collected. All data was publicly available at the time of data collection. The dataset covers the time period between July and October 2017.
This dataset contains 22,123,230 tweet IDs linked to 2517 politician and 444 organization profiles. Full texts and metadata for these tweet IDs can be retrieved via the Twitter API. This can for example be done with this tool, requiring only moderate technical expertise: https://github.com/DocNow/hydrator. Additionally, we can provide the full (mostly German) text and metadata for a random subset of 50,000 tweets upon request. While there are also 434 Facebook profile links in the dataset, text content of posts are unfortunately not available from us at this time.
A detailed description of the collection process can be found here: https://dbk.gesis.org/dbksearch/download.asp?db=E&id=63766
And the dataset can be found here: https://dbk.gesis.org/dbksearch/sdesc2.asp?no=6926
For German politicians in the Bundestag, http://everypolitician.org/germany/bundestag/download.html offers CSV lists per legislature period plus metadata, including
– biographical data
– social media profile links (Twitter, FB, Youtube,…)
– external identifiers (Wikidata/Wikipedia, gnd, viaf, …) Wikidata for instance has more structured information about these politicians, including links to their respective Wikipedia pages.
This initiative collects all talk topics and corresponding minutes from the Bundestag sessions 2013-2017 in easily accessible formats and even offers an API for easy access.
Description: http://translate.google.com/translate?js=n&sl=de&tl=destination_language&u=https://offenesparlament.de/daten/ (EN w/ Gtranslate)
has all the discussion points for different days in the Bundestag, with predefined categories for most points and these can be linked to the actual utterances of individual politicians via https://github.com/Datenschule/offenesparlament-data/tree/master/sessions. Politicians are also explicitly linked to Abgeordnetenwatch.de profiles. An API for most up-to-date data is also available and a Jupyter Notebook explaining the access can be found at: https://github.com/Datenschule/offenesparlament-data/blob/master/load_data.ipynb
Other potentially relevant datasets:
You are encouraged to use other datasets that you can combine with the main datasets provided. Additional datasets should optimally be available under an open license at the time of presenting at the event – or they should at least be recreatable with reasonable effort.
How to join these datasets
Linking the provided datasets can be most easily done via
Furthermore, other fields like “constituency” etc. offer rather straightforward linking opportunities as well.
For any questions related to technical aspects, data structure and especially German language that might come up with these datasets, please do not hesitate to contact us! We chose to put the focus on German political data because we think it is underexplored with CSS methods, at the same time holding very interesting potential insights into biases in political processes and communication. We are aware of the language barrier but are confident that most of the structured and even textual data can still be useful even to non-German-speakers.
Please feel free to use our Google Group / mailing list “CSSnet” for discussions about the dataset challenge, for looking for potential collaborations, or to ask questions to the community: https://groups.google.com/forum/#!forum/cssnet
Specific questions can also be sent to us directly at firstname.lastname@example.org.
A Science Slam is an epic scientific event where scientists compete with short talks on their research. It’s just like a poetry slam, but with science instead of poems. Slammers are completely free to do whatever they want on stage, everything is allowed including slides, games, the more creative, the better!
The only two rules are:
1) The topic of the slam has to be related to data science / computational social science or to social media, online data or digital behavioral data, and
2) Presentations should not take more than 8 minutes.
The EuroCSS Science Slam will take place in the evening of December 5th in Die Wohngemeinschaft (https://www.die-wohngemeinschaft.net/en/). To present, send an email to email@example.com with a short proposal of your topic for the slam and we will contact you.
We will choose the best slammer candidates, based on (i) the scientific quality, on (ii) the novelty of the topic, and on (iii) the potential for giving an engaging talk.
The Science Slam is supported by HumTec (Human Technology Center), RWTH Aachen University.
The Marriott Hotel is a very modern and stylish location within walking distance to the Cologne Central Station, the Rhine and the Cologne Cathedral.
How to find the Cologne Marriott Hotel
The Marriott Hotel is located in the centre of Cologne near the Musical Dome.
Leave Cologne Central Station (“Köln Hauptbahnhof”) via the exit Breslauer Platz. On your right you will see the large blue Musical Dome. At the opposite roundabout just keep straight on and follow the street Johannisstraße. After a few meters you will see the Marriott Hotel on your right.
Maternushaus is a conference hotel located in the center of Cologne with two lecture halls, several bright and friendly seminar rooms, comprehensive technical infrastructure, plenty of exhibition space for posters, access for disabled visitors and inviting inner courtyards, which offers a singular atmosphere for hosting the symposium.
How to find Maternushaus
Maternushaus is a 10-minute walk from Cologne Central Station (“Köln Hauptbahnhof”). Take the exit at the Cathedral side and go right to the taxi stand. Walk down the street “Dompropst-Ketzer-Straße” and keep going. Turn right after the fourth crossing into “Börsenplatz”, and then follow the street signs directing you to “Maternushaus Kongress”.
Stations nearby: Appellhofplatz and Cologne Central Station (“Hbf Köln / Köln Hauptbahnhof”)
Die Wohngemeinschaft is a popular hostel with a CaféBar and creative spaces in Cologne.
How to find Die Wohngemeinschaft
You can reach Die Wohngemeinschaft by metro (U-Bahn). It is a 3-minute walk from the station “Moltkestraße” or 6-minute walk from the station “Rudolfplatz”. Alternatively, you can walk from the Cologne Marriott Hotel to Die Wohngemeinschaft for 30 minutes.
Cologne/Bonn Airport (CGN): Approximately 15 minutes to Cologne Central Station by train
Frankfurt am Main Airport (FRA): Approximately 60 minutes to Cologne Central Station by Intercity-Express (ICE)
Düsseldorf Airport (DUS): Approximately 40 min. to Cologne Central Station by train
Cologne has a well developed public transport network. For updated timetable information, please click here to check.
Bus, metro and tram tickets are sold on a regional zonal tariff basis. The city of Cologne, Cologne/Bonn Airport, Cologne Central Station, and Maternushaus are all located in zone 1b. A single ticket in zone 1b costs €2.80. However, if your journey is less than four stops you can buy a cheaper “KurzstreckenTicket” (Short Trip Ticket) for €1.90.
Tickets are available for one person or for groups of up to five, and for one or four journey(s), or as a day ticket. Other tickets (weekly/monthly pass) are available, but only valid from Monday to Sunday or from the first to the last day of the month – not when you first use the ticket. With the KölnCard, tourists can use public transport for 24 or 48 hours.
Ticket vending machines are available on buses, metro and trams, and at most stations. However, some machines only accept coins or EC cards. Tickets bought here are automatically validated. If you purchase your ticket at a sales outlet, please validate it as soon as you enter the vehicle by using the red validating machine.
For more on visiting Cologne. check the website of Cologne Tourism.
Due to the generous funding by Volkswagen Foundation we are able to offer a limited number of travel grants to researchers whose submissions are accepted for the symposium (presenters of talks or posters at the main symposium, workshop or tutorial organizers, participants of doctoral consortium and dataset challenge).
Travel grant recipients will be selected based on academic excellence, financial needs and diversity (e.g. gender, geographical and disciplinary diversity).
To apply for a travel grant please send an email with the subject “Travel Grant” to firstname.lastname@example.org including the following information: a) your submission number in EasyChair or the title of your submitted workshop/tutorial, b) your contact details, c) your motivation for the grant application and d) whether you will still attend the symposium without a travel grant.
Travel grants will be awarded as lump sums, the amount to be awarded will be based on the country of the awardee’s affiliation.
Grants will be paid out after the conference.
The grants aim to especially support attendees with limited travel resources and attendees from countries where computational social science is not yet well established. We acknowledge that there may be more meritorious applications than we will be able to award and support.
Deadline for travel grant applications is September 1st, 2018 (for all submission types). Late applications cannot be considered.
Letters of support can be requested by accepted European Symposium Series on Societal Challenges in Computational Social Science authors or registrants with a completed registration with payment. If you are attending the European Symposium and require a letter of support, please send the following information in an email with the subject “Visa Support” to email@example.com:
Cologne Marriott Hotel