December 2022 - Corpora

AI4EduRes'2023 Artificial Intelligence for Education Resources 10.1.23
by Eric Atwell 21 Dec '22

21 Dec '22

AI4EduRes'2023 10 January 2023 AI4EduRes.github.io<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai4edures…> Artificial Intelligence, Data Science and Text Analytics for Education Resources Welcome to our AI4EduRes'2022 Workshop on Artificial Intelligence for Education Resources Hosted by Noorhan Abbas, Abdullah Alsaleh and Eric Atwell, University of Leeds Supported by the Alan Turing Institute https://www.turing.ac.uk/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turin…> Online via Zoom - to join, see: https://AI4EduRes.github.io<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai4edures…> PROGRAMME 9:20 Noorhan Abbas, Abdullah Alsaleh and Eric Atwell (University of Leeds): Introduction 09.30 Keynote speaker – Antonio Martínez-Arboleda (University of Leeds) Open Educational Practice for Open Research in Student Education and beyond 10:15 Aisha Walker (University of Leeds) Dialogic Learning 10:30 William Teahan (Bangor University) Agent Inspired Design: The Game of Life but not as we know it 10:45 Coffee Break 11:00 Isabel Fischer, Lichuan Xiang, Aiqi Jiang, Yiran Xu, Zhewei Zhang and Joe Nandhakuma (University of Warwick) AI-generated Formative Essay and Dissertation Feedback 11:15 Abdullah Khered, Hao Zhang, Riza Batista-Navarro and Viktor Schlegel (University of Manchester). A Pipeline for Generating Fact-checking Explanations 11:30 Alex Coleman (University of Leeds) Reproducible Notebooks for Text Analytics 11:45 Lunch Break 13:00 Martin Callaghan (University of Leeds) Building Chatbots in the Cloud 14:00 Yijing Li (Kings College London) Airbnb Listings Analysis and Story Telling - Taking London and Westminster City Council as an example 15:00 Coffee Break 15:15 Alaa Alsaqer (King Faisal University and University of Leeds) How to create a coffee machine system with Python 15:30 Salwa Alahmari (University of Dammam and University of Leeds) Social Media Resources for Arabic Dialects and Variations 15:45 Abdullah Alsaleh (King Abdulaziz University and University of Leeds) Quran Verse Similarity Classification Task using Arabic Pre-trained Models 16:00 Ibtisam Alshammari (University of Hafr Al-Batin and University of Leeds) Using Arabic Named Entity Recognition Models 16:15 Noorhan Abbas, Abdullah Alsaleh and Eric Atwell: Workshop conclusions and future directions 16:30 CLOSE

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First Call for Participation- IWSLT 2023
by Atul K. Ojha 21 Dec '22

21 Dec '22

Apologies for cross-posting. ---------------------------------------- *The International Conference on Spoken Language Translation* ACL – 20th IWSLT 2023 *July 13-14, 2023 – Toronto, Canada* *http://iwslt.org <http://iwslt.org/>* The International Conference on Spoken Language Translation (IWSLT) is the premier annual conference for all aspects of Spoken Language Translation. Every year, the conference organizes and sponsors open evaluation campaigns around key challenges in simultaneous and consecutive translation, under real-time/low latency or offline conditions and under low-resource or multilingual constraints. System descriptions and results from participants’ systems and scientific papers related to key algorithmic advances and best practice are presented. IWSLT is the venue of the SIGSLTs, the Special Interest Group on Spoken Language Translation of ACL, ISCA and ELRA. With a track record of 19 years, IWSLT benchmarks and proceedings serve as reference for all researchers and practitioners working on speech translation and related fields. In 2023, IWSLT will be co-located with ACL 2023 and will be run as a hybrid meeting. Important Dates January 14, 2023: Release of shared task training and dev data April 24, 2023: Scientific paper submission deadline April 01-15, 2023: Evaluation period May 22, 2023: Notification of acceptance June 06, 2023: Camera-ready paper due July 12, 2023: Pre-recorded video due July 13-14, 2023: Conference Evaluation IWSLT 2023 features shared tasks <https://iwslt.org/2023/#shared-tasks> that address the following focus areas: - Speech translation of talks - Speech-to-speech translation of multi-source data: - Speech dubbing of multi-source data - Dialectal and Low-resource speech translation - Formality control for SLT Training and development data for each shared task will be prepared and released by the respective organizers (for further information on this initiative, please refer to the website). Participants will receive instructions about how to submit their runs. In addition, participants have the opportunity to present their work through a system paper that will be published in the ACL Proceedings. Conference IWSLT also invites submissions of scientific papers to be published in the ACL Proceedings and presented either in oral or poster format. The conference selects high-quality, original contributions on theoretical and practical issues of spoken language translation research, technologies and applications. Contact Please send an email to iwslt-evaluation-campaign(a)googlegroups.com if you have any questions related to the shared tasks. Thanks, Marcello, Alex, Jan, Sebastian, Elizabeth, Atul (IWSLT organisers)

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Call for Participants: Make a Difference in the AI Economy - Join the HitAI Program Committee
by Fabio Massimo Zanzotto 21 Dec '22

21 Dec '22

Dear all, Artificial Intelligence (AI) is ready for the next giant leap: An AI that constantly repays knowledge producers ( <https://sites.google.com/view/hitai> HitAI) The time is now. Artists, programmers, and many others are asking for it. Today AI economy is a giant with feet of clay since it is based on the unfair exploitation of human resources: knowledge is often used without repaying knowledge producers. Resilient industrial sectors have to consider fairness in the use of all resources to ensure their permanence over time. We are organizing a workshop. Are you interested? Fill out this form: https://forms.gle/ZMKEH4o5K6PjPaJE7 Best regards, Fabio Massimo

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Postdoctoral Research Fellow in Text Mining
by Bea Alex 20 Dec '22

20 Dec '22

Postdoctoral Research Fellow in Text Mining at the University of Edinburgh We are looking for a Postdoctoral Research Fellow to help annotate and analyse a large corpus of bilingual folklore narratives (Irish and Scottish Gaelic) computationally using various text-mining techniques. These will include phylogenetics, topic modelling, clustering, sequence alignment and neural word embeddings. The post holder will join an interdisciplinary and international research team working on the project "Decoding Hidden Heritages in Gaelic Traditional Narrative with Text-Mining and Phylogenetics”. Fixed Term: 1 March 2023 – 30 June 2024 Deadline: 10/01/2023, 17:00 For more information see the full job description here<https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>. -------------------------------------------------------------- Dr. Beatrice Alex Senior Lecturer and Chancellor’s Fellow University of Edinburgh The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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First CfP: Linguistic Annotation Workshop (LAW) @ ACL 2023
by Friedrich Annemarie (CR/AIR3 GS/PJ-TOP98) 20 Dec '22

20 Dec '22

First Call for Papers The 17th Linguistic Annotation Workshop (LAW-XVII)<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsigann.gi…> LAW-XVII will be the 17th annual meeting endorsed by the ACL Special Interest Group for Annotation (SIGANN). It will take place in July 2023 at ACL in Toronto, Canada. Linguistic annotation of natural language corpora is the backbone of supervised methods in both statistical and neural natural language processing. Annotated corpora are also a major supporting source of information for unsupervised methods, multitask learning, and evaluation of both NLP tools and theories about language within and outside of linguistics. The LAW-XVII will provide a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation/evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised "human in the loop" methods of annotation, crowd-sourcing approaches, and more. The LAW will also provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. Special Theme The special theme of LAW-XVII is "Ethics and Annotation." In addition to LAW's general topics, we specifically invite submissions on the following topics: * Aspects of ethics related to annotation work: How do we treat annotators? How do we ensure that they feel good about the work that they are doing? Are there dangers related to psychological health? * Aspects of ethics related to bias. * Ethics in crowd-sourcing annotation scenarios. * Annotation of information regarding ethics in text. * Any other topics related to the special theme. Submissions We welcome submissions of long and short papers, posters, and demonstrations relating to the special theme or any aspect of linguistic annotation, including: * Annotation procedures * Innovative automated and manual strategies for annotation * Machine learning and knowledge-based methods for automation of corpus annotation * Creation, maintenance, and interactive exploration of annotation structures and annotated data * Annotation evaluation * Inter-annotator agreement and other evaluation metrics and strategies * Qualitative evaluation of linguistic representations * Innovative means to evaluate annotation quality * Annotation access and use * Representation formats/structures for annotations of different phenomena, especially annotations at multiple levels, and means to explore/manipulate them * Linguistic considerations for merging annotations of distinct phenomena * Annotation schemes, guidelines and standards * New and innovative annotation schemes, comparison of annotation schemes * Methodologies and resources for annotation scheme development * Best practices for annotation procedures and/or development and documentation of annotation schemes * Interoperability of annotation formats and/or frameworks among different systems as well as different tasks, frameworks, modalities, and languages * Results from the application and evaluation of standards for linguistic annotation * Annotation software and frameworks * Development, evaluation and/or innovative use of annotation software frameworks Submissions should report original and unpublished research on topics of interest to the workshop. We also invite substantiated position papers, in particular with regard to our special theme. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Long/short paper submissions must use the official ACL style templates<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.co…>. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. References do not count against these limits. Note: The supplementary material does not count towards page limit and should not be included in paper, but should be submitted separately using the appropriate field on the submission website. All submissions must be in PDF format. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors' names and affiliations or self-references that reveal the authors' identity--e.g., "We previously showed (Smith, 1991) ..." should be replaced with citations such as "Smith (1991) previously showed ...". Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop co-chairs (law-2023-chairs(a)googlegroups.com<mailto:law-2023-chairs@googlegroups.com>). Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. We follow previous and current ACL policy to establish an anonymity period (from submission to author notification) during which non-anonymous posting of preprints is not allowed. Also included in that policy are instructions to reviewers to not rate papers down for not citing recent preprints. Authors are asked to cite published versions of papers instead of preprint versions when possible. The submission site will be announced shortly. If you have any questions, please feel free to contact the program co-chairs at law-2023-chairs(a)googlegroups.com<mailto:law-2023-chairs@googlegroups.com> or check the workshop website (https://sigann.github.io/LAW-XVII-2023/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsigann.gi…>) for updates. Dates (All submission deadlines are 11:59 p.m. UTC-12:00 "anywhere on Earth") Anonymity period starts: 7th March 2023 Preliminary submission of long and short papers: 7th April 2023 Submission, notification, and camera-ready dates to be announced in January 2023 Workshop: 13th or 14th July, 2023 (TBD) Workshop Organizers Annemarie Friedrich (Program Co-Chair) Jakob Prange (Program Co-Chair) Amir Zeldes (ACL SIGANN President) Ines Rehbein (ACL SIGANN Secretary) Program Committee Omri Abend (Hebrew University of Jerusalem) Melanie Andresen (University of Stuttgart) Aditya Bhargava (University of Toronto) Claire Bonial (Army Research Laboratory) Marie Candito (Université Paris Cité) Emmanuele Chersoni (The Hong Kong Polytechnic University ) Christian Chiarcos (University of Cologne) Kathryn Conger (University of Colorado Boulder ) Stefanie Dipper (Ruhr University Bochum) Lucia Donatelli (Saarland University) Jonathan Dunn (University of Canterbury) Federico Fancellu (3M Health Information Services) Pablo Faria (University of Campinas) Nizar Habash (New York University Abu Dhabi) Udo Hahn (Friedrich Schiller University Jena) Andrea Horbach (University of Hagen) Chu-Ren Huang (Hong Kong Polytechnic University) Nancy Ide (Brandeis University) Sandra Kuebler (Indiana University) Ekaterina Lapshinova-Koltunski (University of Hildesheim) Els Lefever (LT3, Ghent University) Lori Levin (Carnegie Mellon University) Katja Markert (Heidelberg University) Marie-Catherine de Marneffe (FNRS - UCLouvain - The Ohio State University) Adam Meyers (New York University) Philippe Muller (IRIT, University of Toulouse) Anna Nedoluzhko (Charles University) Simon Ostermann (German Research Centre for Artificial Intelligence (DFKI)) Alexis Palmer (University of Colorado Boulder) Antonio Pareja-Lora (SIC, UCM/OEG, UPM) Miriam R. L. Petruck (International Computer Science Institute) Barbara Plank (Ludwig Maximilian University of Munich) Massimo Poesio (Queen Mary University of London) Sameer Pradhan (LDC, Cemantix) James Pustejovsky (Brandeis University) Ines Rehbein (Mannheim University) Michael Roth (University of Stuttgart) Josef Ruppenhofer (Leibniz Institute for the German Language) Nathan Schneider (Georgetown University) Djamé Seddah (Inria Paris) Manfred Stede (University of Potsdam) Joel Tetreault (Dataminr, Inc.) Katrin Tomanek (Open Table) Bonnie Webber (University of Edinburgh) Michael Wiegand (University of Klagenfurt) Andreas Witt (Leibniz Institute for the German Language) Fei Xia (University of Washington) Nianwen Xue (Brandeis University) Amir Zeldes (Georgetown University) Deniz Zeyrek (Middle East Technical University) Heike Zinsmeister (University of Hamburg)

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Postdoctoral researcher in Speech Recognition and Language Modelling
by Kurimo Mikko 20 Dec '22

20 Dec '22

Short version: The speech recognition group at Aalto University, Finland, focuses on new machine learning methods in automatic speech recognition and language modelling. I'm now looking for a postdoc for 1-4 years to start in spring 2023. The position requires a relevant doctoral degree in CS or EE and skills for doing excellent research in an (English-speaking) group. The application, CV, list of publications, references and requests for further information should be sent by email to Prof. Mikko Kurimo (mikko.kurimo at aalto.fi). The DL for applications is February 15, but we will process the applications as soon as we receive them, even before the DL. Mikko Kurimo Head of the research group —---------------------------------------------------------------------------------------------------- Long version: Postdoctoral researcher in Speech Recognition and Language Modelling The speech recognition group at Aalto University, Finland, focuses on new machine learning methods in automatic speech recognition (ASR) and language modelling. The group started to develop state-of-the-art unlimited vocabulary ASR systems already in the 1980's and 90’s led by Academician Prof. Kohonen. Since 2000 led by Prof. Mikko Kurimo, the group has done pioneering work in unlimited vocabulary language modelling using unsupervised subword units. One of the top achievements is winning the 3rd Multi-Genre Broadcast ASR challenge, where the top research groups in the field were challenged to build a recognizer for an under-resourced language using machine learning methods. Since that the group has also been ranked high in Interpeech children ASR and ComParE paralinguistics challenges. Recently, the group prepared and released two new large-scale open speech datasets for training and benchmarking ASR systems: nearly 4000 hrs of transcribed audiovisual data on Parliament sessions 2008-2020 and another nearly 4000 hrs of spontaneous speech from over 250 000 voluntary donations by Finnish speakers: https://www.kielipankki.fi/donate-speech/ and https://www.kielipankki.fi/corpora/fi-parliament-asr/ The speech recognition group led by Prof. Kurimo consists of 2 research fellows and 9 PhD students that bring together expertise from speech and language processing, deep learning and toolkits such as Kaldi, PyTorch and SpeechBrain. We are working on a wide variety of topics, ranging from purely research focused to applications where the systems can be into real-world use cases. We operate in a well-connected academic environment using excellent GPU and CPU computing facilities (including access to Europe’s fastest supercomputer LUMI) and have well equipped office space at Aalto University Otaniemi campus that is only 10 minutes subway connection away from downtown Helsinki. We are now looking for a postdoc for 1-3 years to start in spring 2023 on any of these projects: - large-scale ASR for Finnish based on a combination of unsupervised pre-training for transformers, supervised training with up to 5000 hours of transcribed speech data on general topics and fine-tuning with a small amount task-specific speech data and language models - multimodal ASR using attention to multiple modalities and time spans - ASR for games and second language learning and assessment The position requires a relevant doctoral degree in CS or EE, skills for doing excellent research in an (English-speaking) group, and outstanding research experience in at least one of the research themes and programming at one of the toolkits mentioned above. The candidate is expected to perform high-quality research and participate in the supervision of talented MSc and PhD students. The application, CV, list of publications, references and requests for further information should be sent by email to Prof. Mikko Kurimo (mikko.kurimo at aalto.fi). The DL for applications is February 15, but we will process the applications as soon as we receive them, even before the DL. Aalto University is a new university created in 2010 from the merger of the Helsinki University of Technology, Helsinki School of Economics and the University of Art and Design Helsinki. The University’s cornerstones are its strengths in education and research, with 20,000 basic degree and graduate students. In addition to a decent salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The Helsinki Metropolitan area forms a world-class information technology hub, attracting leading scientists and researchers in various fields of ICT and related disciplines. Moreover, as the birthplace of Linux, and the home base of Nokia Bell Labs, F-Secure, Rovio, Supercell, Slush (the biggest annual startup event in Europe) and numerous other technologies and innovations, Helsinki is fast becoming one of the leading technology startup hubs in Europe. See more e.g. at http://www.investinfinland.fi/. As a living and working environment, Finland consistently ranks high in quality of life, and Helsinki, the capital of Finland, is regularly ranked as one of the most livable cities in the world. See more at https://finland.fi

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“Digital Humanities” Faculty Position at Open University of Cyprus
by Loizos Michael 20 Dec '22

20 Dec '22

Dear colleagues, The Open University of Cyprus invites applications for the following position in the Faculty of Humanities and Social Sciences: * One (1) academic position at the rank of Lecturer and/or Assistant Professor in the area of “Digital Humanities”. Indicative areas include Natural Language Processing, language corpora, creation of digital databases, digital Lexicography, Information Technology in Education, with an emphasis on the teaching and learning of Greek, digital environments and tools for History, Archaeology, ?heatre, Cultural Studies, Greek Language and Literature, Digital Media, etc. More information here: https://www.ouc.ac.cy/index.php/en/university/vacancies/academic-personnel/… Regards, Loizos

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PhD position in NLP & Information Extraction at HHU Düsseldorf
by Laura Kallmeyer 20 Dec '22

20 Dec '22

Starting from May 2023, the Data & Knowledge Engineering group at Heinrich-Heine-University (HHU, Düsseldorf), affiliated with Knowledge Technologies for Social Sciences (KTS, https://www.gesis.org/en/kts) at GESIS (Cologne) and the Computational Linguistics department at HHU ( https://www.ling.hhu.de/bereiche-des-institutes/abteilung-fuer-computerling… ) are looking for a *PhD student– Information Extraction & Natural Language Processing* (Salary group 13 TV-L, working time 75%-100%, initially limited to 36 months with the possibility of further extension) In the context of the research project "NewOrder", we are investigating scientific online discourse in news & social media, in an interdisciplinary consortium involving researchers from Computer Science, Psychology, Political and Communication Science. Our research will be concerned with novel Natural Language Processing (NLP) methods for the analysis of scientific online discourse (e.g. on Twitter) addressing challenges arising from its informal nature and heterogeneity. For instance, references to scientific works (e.g. publications, studies, datasets), scientists or scientific organisations are often provided in informal and ambiguous ways. Other challenges include the dynamically evolving vocabulary posing challenges for reuse and adaptation of both pretrained language models as well as NLP models finetuned towards specific downstream tasks. Hence, detecting and disambiguating informal science discourse and associated claims remains a challenging problem. Your tasks will be: ******************* * Research in fields such as NLP, Machine Learning, Language Modeling and Representation learning, specifically with the aim to extract structured information from online discourse data * Develop NLP methods for (i) the detection, disambiguation and classification of sources of science-related information on social media, (ii) assessing the quality and credibility of sources and claims and (iii) investigating implicit language cues for cognitive states and source characteristics/traits * Writing, publishing and presenting project results * Collaboration with team members and project partners in an interdisciplinary consortium Your profile: ************** * University degree (diploma/MSc) in Computer Science, Computational Linguistics or related fields * Research interests in NLP, machine learning, data mining, large language models * Hands-on experience with Python and handling big datasets, ideally experience with Big Data Frameworks (e.g. Spark/Hadoop) * Knowledge of ML-Frameworks such as TensorFlow and PyTorch * Ability to communicate fluently in English mandatory, basic knowledge of the German language desirable What we offer: *************** * Flexible working hours and home office arrangements * A fast growing and international working environment with a lot of creative scientific freedom * Access to unique research data, (social) web archives and behavioral data * Support of collaborations with international research labs and experts through an extensive international exchange programme The PhD research will be supervised by Prof. Dr. Stefan Dietze (Scientific Director of KTS at GESIS and Professor for Data & Knowledge Engineering at HHU) & Prof. Dr. Laura Kallmeyer (Chair of Computational Linguistics department at HHU). For further information please contact Stefan Dietze (stefan.dietze(a)hhu.de) and/or Laura Kallmeyer (kallmeyer(a)phil.uni-duesseldorf.de). Interested? ************* Please apply by sending your complete application documents as a single PDF file to kallmeyer(a)phil.hhu.de by 20 January 2023. -- Prof. Dr. Laura Kallmeyer Institut für Linguistik Heinrich-Heine Universität Duesseldorf Universitaetsstr. 1 D-40225 Duesseldorf, Germany https://user.phil.hhu.de/kallmeyer/ Phone +49 (0)211 8113899

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CfP: WWW workshop on Online Social Networks in the Human-centric Metaverse
by Arkaitz Zubiaga 20 Dec '22

20 Dec '22

CALL FOR PAPERS ACM OSNeHM 2023 First International workshop on Online Social Networks in the Human-centric Metaverse co-located with The Web Conference 2023 Austin, Texas, USA APRIL 30 - MAY 4, 2023 https://osnehm.iit.cnr.it/ ____________________________________________________________________ SCOPE AND OVERVIEW __________________ The cyber and physical worlds are increasingly becoming indistinguishable. This is fostered by enabling technologies such as IoT and pervasive networks, advanced data management and analytics techniques, and advanced platforms with massive diffusion, chiefly among them Online Social Networks. Whatever we do in one world has immediate consequences on the other world, thanks to a constant flow of data - and online analytics - between the two worlds. In this context, the vision of the Metaverse provides additional perspectives, augmenting human interactions with things and other humans across the two worlds. The role of the humans in this socio-technical complex system is key, and still largely unexplored. Quite interestingly, while new tools characteristic of the cyber-physical world - OSN among them - have been designed to largely extend human capabilities, the real interplay between these tools and human behaviours and cognitive constraints often result in unexpected results. Therefore, while humans are in principle at the center of the cyber-physical convergence and, thus -- in the perspective -- of the Metaverse, the interplay between both worlds and the technical solutions underpinning this convergence are hitherto largely unexplored and yet to be understood. This is a big gap our community should feel, in order to develop cyber-physical worlds (and the Metaverse) as a truly human-centric environment. OSNeHM’s main theme will be the role of Online Social Networks in such a human-centric cyber-physical convergence leading to the Metaverse. It will provide a forum for discussion on early yet principled approaches and results on all aspects related to this theme. A special emphasis will be devoted to the characterisation of the individual and social behaviour of humans, using OSN as “big data microscopes” for collecting and analysing big data via robust big data analytics. Papers discussing solutions focusing on the interplay between social and technical (online and offline) worlds will be high welcome. On the other hand, the workshop will welcome papers proposing novel technical solutions to support human-centric approaches to the evolution of OSN in the perspective of the Metaverse. Specific topics of interest include, but are not limited to, the following: * OSNeHM platforms, protocols and applications; * OSN and Metaverse services & applications; * Decentralised, mobile and location-based OSNeHM; * Trust, reputation, privacy and security in OSNeHM; * Dynamics of trends, information and opinion diffusion in OSNeHM; * Fake news, toxicity radicalization and disinformation in OSNeHM; * Detecting, modeling and tackling Online harms in OSNeHM; * Recommendations and advertising in OSNeHM; * Measurement, analysis and modeling of popular OSN (Facebook, Twitter, Instagram, Flickr, etc.), including decentralized ones (e.g., Mastodon, Pleroma, ...); * Data mining, and machine learning in OSNeHM systems; * Social media analysis and social analytics in the perspective of OSNeHM; * Information extraction and search in OSNeHM; * Complex-network analysis of OSNeHM; * Modeling of social behavior through OSN data; * Crowdsourcing and OSNeHM; * Multidisciplinary applications of OSNeHM (economics, medicine, society, politics, homeland security, psychology, etc.) PAPER FORMAT AND SUBMISSION INSTRUCTIONS ________________________________________ Papers that have been previously published or are under review for another journal, conference or workshop will not be considered for publication. Submitted papers should not exceed 12 pages in length (maximum 8 pages for the main paper content + maximum 2 pages for appendixes + maximum 2 pages for references). Papers must be submitted in PDF format according to the ACM template published in the ACM guidelines, selecting the generic “sigconf” sample. The PDF files must have all non-standard fonts embedded. Workshop papers must be self-contained and in English. Submissions that do not follow these guidelines may be rejected without review. Further, at least one author of each accepted workshop paper has to register for the main conference. Workshop attendance is only granted for registered participants. Accepted papers will be included in the workshop proceedings, which will be published as companion proceedings of The Web Conference, and indexed according to the main conference policy. Please follow the submission link at: https://easychair.org/conferences/submissions?a=29997356 and select the full name of the workshop in the submission list. AWARDS AND EDITORIAL FOLLOW-UPS _______________________________ We will consider assigning a best paper award. We will organise a special issue on the Elsevier Online Social Networks and Media (OSNEM) Journal https://www.journals.elsevier.com/online-social-networks-and-media/ soliciting submissions of extended versions of particularly promising papers. OSNEM is a recent yet very well-reputed (Q1 SJR) journal covering, among others, 100% of the workshop topics. IMPORTANT DATES (all deadlines are AoE) _______________ 23rd January 2023: Abstract submission deadline 6th February 2023: Workshop paper submission deadline 6th March 2023: Workshop paper (acceptance) notification 20th March 2023: Workshop papers camera-ready deadline 31st March 2023: Final program (with duration) provided to Workshop Track leads 1st or 2nd May 2023: Workshops at WWW2023 ORGANISING COMMITTEE ____________________ Workshop chairs: * Marco Conti, IIT-CNR, Italy * Andrea Passarella, IIT-CNR, Italy * Jussara M. Almeida, Universidade Federal de Minas Gerais, Brazil * Arkaitz Zubiaga, Queen Mary University of London, UK Technical Program Committee (TBC) For more information, please write to the workshop co-chairs at osnehm23 <at> iit <dot> cnr <dot> it

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Clickbait Spoiling at SemEval 2023: 2nd Call for Participation
by maik.froebe＠uni-jena.de 19 Dec '22

19 Dec '22

We invite you to participate in the SemEval 2023 shared task on clickbait spoiling. Clickbait spoiling means generating or extracting a short message for a clickbait post that spoils the clickbait by filling its curiosity gap. Learn more at https://clickbait.webis.de/ ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Now open: Registration January 10, 2023: Submission deadline February 2023: Participant paper submission March 2023: Peer review notification April 2023: Camera-ready participant papers submission Summer 2023: SemEval workshop (co-located with a major NLP conference) Best regards, PAN team

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