Collocated with ICWSM'2019
AbstractThe 3rd edition of the RDSM workshop will particularly focus on online information disorder and its interplay with public opinion formation.
Social media is a valuable resource for mining all kind of information varying from opinions to factual information. However, social media houses issues that are serious threats to the society. Online information disorder and its power on shaping public opinion lead the category of those issues. Among the known aspects are the spread of false rumours, fake news or even social attacks such as hate speech or other forms of harmful social posts. In this workshop the aim is to bring together researchers and practitioners interested in social media mining and analysis to deal with the emerging issues of information disorder and manipulation of public opinion. The focus of the workshop will be on themes such as the detection of fake news, verification of rumours and the understanding of their impact on public opinion. Furthermore, we aim to put a great emphasis on the usefulness and trust aspects of automated solutions tackling the aforementioned themes.
Workshop Theme and TopicsThe aim of this workshop is to bring together researchers and practitioners interested in social media mining and analysis to deal with the emerging issues of veracity assessment, fake news detection and manipulation of public opinion. We invite researchers and practitioners to submit papers reporting results on these issues. Qualitative studies performing user studies on the challenges encountered with the use of social media, such as the veracity of information and fake news detection, as well as papers reporting new data sets are also welcome. Finally, we also welcome studies reporting the usefulness and trust of social media tools tackling the aforementioned problems.
Topics of interest include, but are not limited to:
- Detection and tracking of rumours.
- Rumour veracity classification.
- Fact-checking social media.
- Detection and analysis of disinformation, hoaxes and fake news.
- Stance detection in social media.
- Qualitative user studies assessing the use of social media.
- Bots detection in social media.
- Measuring public opinion through social media.
- Assessing the impact of social media in public opinion.
- Political analyses of social media.
- Real-time social media mining.
- NLP for social media analysis.
- Network analysis and diffusion of dis/misinformation.
- Usefulness and trust analysis of social media tools.
We will have 1-2 experts in the field delivering keynote speeches. We will then have a set of 8-10 presentations of peer-reviewed submissions, organised into 3 sessions by subject (the first two sessions about online information disorder and public opinion and the third session about the usefulness and trust aspects). After the session we also plan to have a group work (groups of size 4-5 attendances) where each group will sketch a social media tool for tackling e.g. rumour verification, fake news detection, etc. The emphasis of the sketch should be on aspects like usefulness and trust. This should take no longer than 120 minutes (sketching, presentation/discussion time). We will close the workshop with a summary and take home messages (max. 15 minutes). Attendance will be open to all interested participants.
We welcome both full papers (5-8 pages) to be presented as oral talks and short papers (2-4 pages) to be presented as posters and demos.
Workshop Schedule/Important Dates
- Submission deadline: March 25th 2019
- Notification of Acceptance: April 12th 2019
- Camera-Ready Versions Due: April 26th 2019
- Workshop date: June 11, 2019
- Long papers/Brief Research Report (max 8 pages + 2 references)
- Demos and poster (short papers) (max 4 pages + 2 references)
issue of Frontiers in Big Data.
submission site through https://www.frontiersin.org/research-topics/9706 (click on "Submit your manuscript").
Note, submitting authors should choose one of the specific track organizers as their preferred Editor.
committee. The accepted papers will appear in the proceedings published at
- Ahmet Aker, University of Duisburg-Essen, Germany; University of Sheffield, UK
- Arkaitz Zubiaga, Queen Mary University of London, UK
- Kalina Bontcheva, University of Sheffield, UK
- Maria Liakata, University of Warwick and Alan Turing Institute, UK
- Rob Procter, University of Warwick and Alan Turing Institute, UK
- Symeon Papadopoulos, Centre for Research and Technology Hellas, Greece
Programme Committee (Tentative)
- Nikolas Aletras, University of Sheffield, UK
- Jisun An, QCRI, Qatar
- Pablo Aragón, Eurecat, Spain
- Nicholas Diakopoulos, Northwestern University, USA
- Emilio Ferrara, University of Southern California, USA
- Bahareh Heravi, University College Dublin, Ireland
- Haewoon Kwak, QCRI, Qatar
- Vasileios Lampos, UCL, UK
- Piroska Lendvai, University of Göttingen, Germany
- Michal Lukasik, Google, Switzerland
- Matteo Magnini, Uppsala University, Sweden
- Miguel Martinez-Alvarez, Signal Media Ltd., UK
- Petya Osenova, Ontotext, Bulgaria
- Leysia Palen, University of Colorado Boulder, USA
- Sara Rosenthal, Columbia University, USA
- Damiano Spina, RMIT University, Australia
- Peter Tolmie, Universität Siegen, Germany
- Sumithra Velupillai, KTH Royal Institute of Technology, Sweden
- Andreas Vlachos, University of Sheffield, UK
- Bo Wang, Alan Turing Institute, UK
- Marcos Zampieri, University of Wolverhampton, UK
To be announced
And the EU co-funded horizon 2020 project that deals with algorithm-supported verification of digital content