Due to the dynamic on-line content on the internet, which is open to changes (deletions, alterations etc.), moreover, unreliability of the accounts on the internet (social media, e-mails and so on) being open to network attacks such as Denial of Service, we cannot be sure of the creator of the content or modifications done on it. Therefore, it may not be very logical to count the on-line content associated with user accounts as "real", and as a "proof" for understanding and measuring effects in some cases. On the other hand, it is true that, by analyzing social media, we can get public opinion on some "hot-topics" after collecting some "publicly available" data.
However, in terms of detecting rumors, I do not think that it is the best option to study on-line content. Also, labeling issue is a problem, as some people who don't like some comments may want them to be labeled as "fake", whereas they may be true, in fact. So, this "rumor trick" can be used to attack "freedom of speech" and "democracy", where the opposing minority groups to any idea or party are silenced. Therefore, it may not be the best approach to classify any content as "rumor", without actually knowing about the details of it, for instance, the actual creator of the content. Ignoring any real comment or experience is also a kind of "support of fake news" if not done properly. All in all, we should care about these before conducting any scientific study on this matter.
Nihal Yağmur AYDIN
Research Engineer GREYC-CNRS-ENSICAEN Université de Caen Normandie Normandie Universitè
From: "Arkaitz Zubiaga" <a.zubiaga at qmul.ac.uk> To: "corpora" <corpora at uib.no> Sent: Monday, 6 April, 2020 16:44:33 Subject: [Corpora-List] CfP: COLING 2020 Workshop on Rumours and Deception in Social Media (RDSM)
****************************************************************************************** Third International Workshop on Rumours and Deception in Social Media (RDSM)
held in conjunction with COLING 2020 Barcelona, 13th December 2020 [ https://www.pheme.eu/rdsm2020/ | https://www.pheme.eu/rdsm2020/ ] ******************************************************************************************
UPDATE: Note that the workshop has been postponed to 13th December and therefore the submission deadline extended, in accordance with COLING 2020 being postponed.
++ Important Dates ++
Submission deadline: 20th July, 2020 Notification of Acceptance: 6th September, 2020 Camera-Ready Due: 21st September, 2020 Workshop date: 13th December, 2020
++ Overview ++
In the last decade, social media has become the platform par excellence for all kinds of online information exchange, such as: content creation, consumption and sharing; commenting on and engaging with content posted by others; organisation of events; reporting and tracking of real world events; rating and reviewing products; catching up with the latest developments in the news; etc. Among the best known platforms today are Facebook, Twitter, Sina Weibo, Reddit and Instagram. Besides individuals, the presence of companies, agencies, institutions and politicians has also increased in social media. One of their objectives is to engage with a broader audience, while also learning from them. For instance, companies are interested in finding out what customers think about their products in order to improve their services and perform targeted advertising. Given the scale of social media use, it is also being leveraged to perform predictions on a variety of issues such as political elections, referenda and stock markets.
Although social media seems to offer a way to address all kinds of problems, it also is a source of new problems, some of which are serious threat to society. One of the threats is the online information disorder and its manipulative power on public opinion. Information disorder has been categorised into three types: (1) misinformation, an honest mistake in information sharing, (2) disinformation, deliberate spreading of inaccurate information, and (3) malinformation, accurate information that is intended to harm others, such as leaks, cyberhate, etc. Its spread can play an important role in shaping public opinion and reactions to events, which the viral properties of social media may then amplify. The influence of online information disorder has been evident in recent political events such as Brexit and Trump’s election, where social media played a significant role in shaping public opinion and “fake news” and “post-truth” had an impact that is yet to be understood.
This is why we focused on our previous workshop editions on online information disorder and its interplay with public opinion formation. In our 3rd edition of the RDSM workshop we will continue focusing on these highly important issues. However, in addition we aim to introduce for the first time the topic proposed social media solutions tackling the aforementioned themes and thus to open up discussions around usefulness and trust of such solutions.
The 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 user studies on the challenges encountered in 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 on 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. * Benchmarking disinformation detection systems. * Open disinformation knowledge bases and datasets.
++ Submission Guidelines ++
We invite submissions of up to nine (9) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers. The COLING’2020 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. Deviations from the provided templates will result in rejections without review. Submit papers by the end of the deadline day (timezone is UTC-12) via our Softconf Submission Site: [ http://softconf.com/coling2020/RDSM/ | http://softconf.com/coling2020/RDSM/ ]
Download the LaTeX and MS Word templates here: [ https://coling2020.org/coling2020.zip | https://coling2020.org/coling2020.zip ]
Selected papers will be invited to submit extended versions to the following special issue: [ https://www.mdpi.com/journal/information/special_issues/tackling_misinformation_online | https://www.mdpi.com/journal/information/special_issues/tackling_misinformation_online ]
++ Organizing committee ++
- Ahmet Aker, University of Duisburg-Essen, [ mailto:a.aker at is.inf.uni-due.de | a.aker at is.inf.uni-due.de ] (main contact person) - Arkaitz Zubiaga, Queen Mary University of London, [ mailto:a.zubiaga at qmul.ac.uk | a.zubiaga at qmul.ac.uk ] - Kalina Bontcheva, University of Sheffield, [ mailto:k.bontcheva at sheffield.ac.uk | k.bontcheva at sheffield.ac.uk ] - Maria Liakata, Queen Mary University of London and the Alan Turing Institute, [ mailto:m.liakata at qmul.ac.uk | m.liakata at qmul.ac.uk ] - Rob Procter, University of Warwick and the Alan Turing Institute, [ mailto:rob.procter at warwick.ac.uk | rob.procter at warwick.ac.uk ] - Symeon Papadopoulos, Centre for Research and Technology Hellas, Greece [ mailto:papadop at iti.gr | papadop at iti.gr ]
++ Programme Committee ++
Pepa Atanasova, University of Copenhagen, Denmark Giannis Bekoulis, Ghent University, Belgium Costanza Conforti, University of Cambridge, UK Thierry Declerck, DFKI GmbH, Germany Leon Derczynski, IT University Copenhagen, Denmark Samhaa R. El-Beltagy, Newgiza University, Egypt Genevieve Gorrell, University of Sheffield, UK Elena Kochkina, University of Warwick, UK Dominik Kowald, Graz University of Technology, Austria Chengkai Li, The University of Texas at Arlington, USA Diana Maynard, University of Sheffield, UK Preslav Nakov, QCRI, Qatar Viviana Patti, University of Turin, Italy Georg Rehm, DFKI GmbH, Germany Paolo Rosso, Technical University of Valencia, Spain Carolina Scarton, University of Sheffield, UK Ravi Shekhar, Queen Mary University of London, UK Panayiotis Smeros, EPFL, Switzerland Antonela Tommasel, UNICEN, Argentina Adam Tsakalidis, Alan Turing Institute, UK Onur Varol, Northeastern University, USA Svitlana Volkova, Pacific Northwest National Laboratory, USA
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