March 2024 - Corpora

36th International Conference on Advanced Information Systems Engineering: Last Call for DC Papers
by Announce 01 Mar '24

01 Mar '24

*** Last Call for Doctoral Consortium Papers *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: 8th March, 2024 AoE ***) The CAiSE conference series has a proud track record of running an international Doctoral Consortium affiliated with the event. The CAiSE'24 Doctoral Consortium aims to attract PhD students working on foundations, techniques, tools and applications in the Information Systems Engineering field. At the Doctoral Consortium, the participating PhD students will have the opportunity to present their research and to get feedback from an audience of peers and senior faculty in a supportive environment. There will also be discussions tailored to the needs and interests of PhD students. The goals of the Doctoral Consortium are to ensure that participating PhD students: • receive constructive and personalized feedback and advice on their research program by dedicated Doctoral Consortium mentors, • provide an opportunity to meet, interact with and learn from established researchers and practitioners in the Information Systems Engineering community, • develop a supportive community of peer scholars and a spirit of collaborative research, • discuss broader opportunities and concerns related to a PhD study and post-PhD pathways. To be eligible for the Doctoral Consortium, the candidate must be a current PhD student within a recognized research institution. We welcome submissions of both late-stage PhD students (having at least 6 months of work after the conference and before their expected completion), and early-stage PhD students (with at least 6 months of work already performed prior to the submission date). WHY SUBMITTING TO THE CAiSE'24 DOCTORAL CONSORTIUM? The CAiSE'24 Doctoral Consortium will be attended by renowned academics from the Information Systems Engineering field who will actively participate as mentors for the PhD students accepted to the Doctoral Consortium. The participating PhD students will receive constructive reviews on their submission, as well as personalized guidance by Doctoral Consortium mentors regarding their research program and presentation at the Consortium event. Accepted papers will be published in the CEUR proceedings (https://ceur-ws.org/), which are indexed in DBLP. Participants of the CAiSE Doctoral Consortium will be subsequently eligible to submit their PhD thesis (after the degree is granted) for a CAiSE PhD Award. SUBMISSION PROCESS Submissions must be made electronically by the stated deadline via the EasyChair conference system at https://easychair.org/conferences/?conf=caise2024 . Each submission should contain (i) a recommendation letter from the student’s PhD advisor, and (ii) a paper describing the research plans and the current status of progress (see more details in the Paper Submission Guidelines section). Submissions must have a single author, but the name of the PhD advisors should be mentioned in the paper (usually in the Acknowledgments section). Submissions should concern original research. All submitted materials must be in English. Attendees must have sufficient proficiency in English for being allowed to participate in the academic discussions of the Consortium. Submissions of both early and late-stage PhD students are welcome. Submissions of early-stage PhD students should concentrate on the selection of the research methods to apply, the realization and contextualization of the relevant literature, the expected pitfalls and ways to mitigate them. Submissions of late-stage PhD students should also include preliminary research results and discuss to some extent conclusions and threats. The recommendation letter from the PhD advisor should include an assessment of the current status of the research, an expected date for the completion of the dissertation, a delineation of the anticipated benefits for the student's participation at the Consortium and details of any submissions associated with the research. PAPER CONTENT AND FORMAT The paper must: • clearly formulate the research questions investigated in the thesis, • identify a significant problem in the field of Information System Engineering, • outline the current status of the problem domain and related solutions, • describe the research methods that are applied or proposed and the expected artifacts, • outline the contributions of the applicant’s work to the problem domain and highlight their uniqueness, • present any preliminary results achieved so far (mainly relevant for late-stage PhD students), • conform to the CEURART template using the 1-column layout format (thus, NOT the Springer LNCS format and NOT in multiple column layouts); the most recent template (including Word and LaTeX) can be downloaded from http://ceur-ws.org/Vol-XXX/index.html, • contain up to 4,000 words (including everything, e.g., references, tables, figures). REVIEW PROCESS Each submission will be reviewed by two members of the Doctoral Consortium Mentoring Board. The main evaluation criteria are: relevance, originality, significance, technical soundness, accuracy, clarity and the expected benefits to the student from participating in the Doctoral Consortium. Acceptance is based on the review outcomes. ATTENDANCE AND REGISTRATION FEE The Doctoral Consortium is held in parallel with the main CAiSE conference on 5-7 June 2024. The presentations and decisions are expected to take place in person, so attendance in the entire Doctoral Consortium is required. To facilitate detailed feedback to the participants, attendance to the Doctoral Consortium is by invitation only, limited to the participants and the Mentoring Board. There is no separate registration fee for participants in the Doctoral Consortium. Participants should register to the main conference by selecting either the “Main conference” option or another option that includes the main conference. IMPORTANT DATES • Paper Submission: 8th March 2024 (AoE) • Notification of Acceptance: 19th April 2024 • Camera-ready Copy: 26th April 2024 • Doctoral Consortium: 5th-7th June 2024 QUESTIONS AND INQUIRIES Questions about eligibility and other inquiries can be sent to the CAiSE’24 Doctoral Consortium chairs at caise2024_dc(a)easychair.org . MENTORING BOARD • Raimundas Matulevičius, University of Tartu, Estonia • Massimo Mecella, Sapienza University of Rome, Italy • Barbara Pernici, Politecnico di Milano, Italy • Jolita Ralyte, University of Geneva, Switzerland • Hajo Reijers, Utrecht University, the Netherlands • Monique Snoeck, KU Leuven, Belgium • Barbara Weber, University of St. Gallen, Switzerland • Jelena Zdravkovic, Stockholm University, Sweden DOCTORAL CONSORTIUM CHAIRS • Iris Reinhartz-Berger, University of Haifa, Israel • Chiara Di Francescomarino, University of Trento, Italy • Aggeliki Tsohou, Ionian University, Greece

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CLEF-2024 TextDetox Shared Task -- Call for Participation
by Daryna Dementieva 01 Mar '24

01 Mar '24

TextDetox CLEF-2024 We are glad to invite you to participate in the first of its kind multilingual Text Detoxification shared task! https://pan.webis.de/clef24/pan24-web/text-detoxification.html TL;DR Task formulation: transfer a text style from toxic to neutral (i.e. what a f**k is this about? -> what is this about?) 9 Languages: English, Spanish, Chinese, Hindi, Arabic, German, Russian, Ukrainian, and Amharic More details: Identification of toxicity in user texts is an active area of research. Today, social networks such as Facebook, Instagram are trying to address the problem of toxicity. However, they usually simply block such kinds of texts. We suggest a proactive reaction to toxicity from the user. Namely, we aim at presenting a neutral version of a user message which preserves meaningful content. We denote this task as text detoxification. In this competition, we suggest you create detoxification systems for 9 languages from several linguistic families. However, the availability of training corpora will differ between the languages. For English and Russian, the parallel corpora of several thousand toxic-detoxified pairs (as presented above) are available. So, you can fine-tune text generation models on them. For other languages, for the dev phase, no such corpora will be provided. The main challenge of this competition will be to perform an unsupervised and cross-lingual detoxification. You are very welcome to test all modern LLMs on text detoxification and safety with our data as well as experiment with different unsupervised approaches based on MLMs or other paraphrasing methods! The final leaderboard will be built on a manual evaluation of a test set subset performed via crowdsourcing at Toloka.ai platform. In the end, you will have an opportunity to write and then present a paper at CLEF 2024 (https://clef2024.imag.fr/) which will take place in Grenoble, France! Important Dates February 1, 2024: First data available and run submission opens. April 22, 2024: Registration closes. May 6, 2024: Run submission deadline and results out. May 31, 2024: Participants paper submission. July 8, 2024: Camera-ready participant papers submission. September 9-12, 2024: CLEF Conference in Grenoble and Touché Workshop. Best regards, The CLEF-2024 TextDetox Shared Task Organizers

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8th Workshop on Online Abuse and Harms @NAACL: Final CFP (Deadline extended)
by Yi-Ling Chung 01 Mar '24

01 Mar '24

*** Final Call for Papers (Deadline extended to March 17th) *** We invite paper submissions to the 8th Workshop on Online Abuse and Harms (WOAH), which will take place on June 20/21 at NAACL 2024. Website: https://www.workshopononlineabuse.com/cfp.html Join our WOAH community Slack channel<https://hatespeechdet-47d7560.slack.com/join/shared_invite/zt-2a8d96j4z-gkN…>! Important Dates Submission due: March 17, 2024 ARR reviewed submission due: April 7, 2024 Notification of acceptance: April 14, 2024 Camera-ready papers due: April 24, 2024 Workshop: June 20/21, 2024 Overview Digital technologies have brought many benefits for society, transforming how people connect, communicate and interact with each other. However, they have also enabled abusive and harmful content such as hate speech and harassment to reach large audiences, and for their negative effects to be amplified. The sheer amount of content shared online means that abuse and harm can only be tackled at scale with the help of computational tools. However, detecting and moderating online abuse and harms is a difficult task, with many technical, social, legal and ethical challenges. The Workshop on Online Abuse and Harms invites paper submissions from a wide range of fields, including natural language processing, machine learning, computational social sciences, law, politics, psychology, sociology and cultural studies. We explicitly encourage interdisciplinary submissions, technical as well as non-technical submissions, and submissions that focus on under-resourced languages. We also invite non-archival submissions and civil society reports. The topics covered by WOAH include, but are not limited to: * New models or methods for detecting abusive and harmful online content, including misinformation; * Biases and limitations of existing detection models or datasets for abusive and harmful online content, particularly those in commercial use; * New datasets and taxonomies for online abuse and harms; * New evaluation metrics and procedures for the detection of harmful content; * Dynamics of online abuse and harms, as well as their impact on different communities * Social, legal, and ethical implications of detecting, monitoring and moderating online abuse In addition, we invite submissions related to the theme for this eighth edition of WOAH, which will be online harms in the age of large language models. Highly capable Large Language Models (LLMs) are now widely deployed and easily accessible by millions across the globe. Without proper safeguards, these LLMs will readily follow malicious instructions and generate toxic content. Even the safest LLMs can be exploited by bad actors for harmful purposes. With this theme, we invite submissions that explore the implications of LLMs for the creation, dissemination and detection of harmful online content. We are interested in how to stop LLMs from following malicious instructions and generating toxic content, but also how they could be used to improve content moderation and enable countermeasures like personalised counterspeech. To support our theme, we have invited an interdisciplinary line-up of high-profile speakers across academia, industry and public policy. Submission Submission is electronic, using the Softconf START conference management system. Submission link: https://softconf.com/naacl2024/WOAH2024/manager/scmd.cgi?scmd=submitPaperCu… The workshop will accept three types of papers. * Academic Papers (long and short): Long papers of up to 8 pages, excluding references, and short papers of up to 4 pages, excluding references. Unlimited pages for references and appendices. Accepted papers will be given an additional page of content to address reviewer comments. Previously published papers cannot be accepted. * Non-Archival Submissions: Up to 2 pages, excluding references, to summarise and showcase in-progress work and work published elsewhere. * Civil Society Reports: Non-archival submissions, with a minimum of 2 pages and no upper limit. Can include work published elsewhere. Format and styling All submissions must use the official ACL two-column format, using the supplied official style files. The templates can be downloaded in Style Files and Formatting<https://github.com/acl-org/acl-style-files>. Please send any questions about the workshop to organizers(a)workshopononlineabuse.com<mailto:organizers@workshopononlineabuse.com> Organisers Paul Röttger, Bocconi University Yi-Ling Chung, The Alan Turing Institute Debora Nozza, Bocconi University Aida Mostafazadeh Davani, Google Research Agostina Calabrese, University of Edinburgh Flor Miriam Plaza-del-Arco, Bocconi University Zeerak Talat, MBZUAI The Alan Turing Institute is a limited liability company, registered in England with registered number 09512457. Our registered office is at British Library, 96 Euston Road, London, England, NW1 2DB. We are also a charity registered in England with charity number 1162533. This email and any attachments are confidential and may be legally privileged. If you have received it in error, you are on notice of its status. If you have received this message in error, please send it back to us, and immediately and permanently delete it. 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[Final CfP] Deadline Extension - Workshop on Linked Data in Linguistics @ LREC-COLING 2024
by Patricia Martín Chozas 01 Mar '24

01 Mar '24

[Apologies for cross-posting]The 9th Workshop on Linked Data in Linguistics: Resources, Applications, Best PracticesFinal Call for Papers Workshop colocated with *LREC-COLING 2024*, Date: *May 25, 2024* Venue: Torino, Italy and online Submissions due: *March 8, 2024* For up to date info, check: https://ldl2024.linguistic-lod.org/ The Linked Data in Linguistics (LDL) workshop series has established itself as the premier venue for discussing the application of Semantic Web technologies to the fields of linguistics, digital lexicography, and digital humanities (DH). While recent years have witnessed a steady growth in adoption of the technology in these areas, its uptake in other relevant domains, most notably in the case of natural language processing (NLP), continues to lag behind. This year, aside from embracing the full bandwidth of applications of LLOD technologies and the closely related area of knowledge graphs in linguistics, we welcome contributions addressing the application of LLOD technologies to NLP applications, as well as those dealing with emerging hot topics of future bridges between structured (linguistic) knowledge and neural methods. In addition, this year’s edition of the workshop will be a venue for in-depth discussions on community standards and best practices, and, above all, those related to the work of the W3C community groups OntoLex [1], LD4LT [2] and BPMLOD [3]. To this end, it will include featured talks on the latest achievements, developments, and perspectives of these W3C Community Groups. [1] Ontology-Lexica Community Group [2] Linked Data in Language Technology Community Group [3] Best Practices in Multilingual Linked Open Data *Topics of interest* We invite presentations of algorithms, methodologies, experiments, tools, use cases, descriptions of ongoing or planned research projects as well as position papers that describe the creation, publication or application of linked linguistic data collections and their linking with other resources. Descriptions of such data, and in particular, its uses in research (linguistics, lexicology, digital humanities) and technology (NLP, e-lexicography, localization) are also welcome. The following is a non-exhaustive list of relevant topics: 1) Building, managing and linking language resources - Lexicons and Lexical Data, including Dictionaries and Lexicographic Resources - Annotations and Annotated Corpora - Entity Linking 2) Technologies, challenges and best practices for language technology and language resources on the web: - Interoperability - Sustainability - FAIRness 3) Structured data in language technology: - Knowledge Graphs - Machine Learning - Multilingual Technologies - Language Knowledge Injection in LLMs 4) Show cases, case studies and applications by different communities of practice: - Multimodality - Corpus Linguistics - Lexicography - Digital Humanities 5) Current directions and critical reflection. Position papers on: - Ethical, legal, technological aspects of structured data in the age of LLMs - The role of LLOD in promoting low-resource languages - Extensions of RDF and graph formalisms We invite both long (8 pages and 2 pages of references) and short papers (4 pages and 2 pages of references) representing original research, innovative approaches and resource descriptions. Short papers may also represent project descriptions. These do not have to be implemented but discuss to what extent and for which purposes Linguistic Linked Open Data is reused or created. Projects that are still in their early stages and seek advice from the broader Linguistic Linked Data community are welcome, especially if they include underrepresented fields of study. Papers should be formatted according to the LREC-COLING guidelines, please see https://lrec-coling-2024.org/authors-kit/. Please note that the review process will be *single-blind*. *Identify, Describe and Share your LRs!* When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). *Important Dates* - Submission Date: March 1, 2024 *March 8, 2024* - Notification of Acceptance: March 22, 2024 - Camera-Ready: April 2, 2024 - Workshop: May 25, 2024 *Workshop Organizers* - Christian Chiarcos (University of Augsburg, Germany) - Katerina Gkirtzou (Athena Research Center, Greece) - Maxim Ionov (University of Cologne, Germany) - Fahad Khan (Consiglio Nazionale delle Ricerche, Italy) - John P. McCrae, (University of Galway, Ireland) - Elena Montiel Ponsoda (Universidad Politécnica de Madrid, Spain) - Patricia Martín Chozas (Universidad Politécnica de Madrid, Spain) Please get in contact via ldl2024(a)linguistic-lod.org. *Program Committee* - Sina Ahmadi (George Mason University, USA) - Verginica Barbu Mititelu (Research Institute for Artificial Intelligence of the Romanian Academy, Romania) - Paul Buitelaar (Insight, Ireland) - Sara Carvalho (University of Aveiro, Portugal) - Rute Costa (NOVA FCSH/NOVA CLUNL, Portugal) - Milan Dojchinovski (Czech Technical University, Czech Republic) - Agata Filipowska (Uniwersytet Ekonomiczny w Poznaniu, Poland) - Francesca Frontini (CNR-ILC, Italy) - Frances Gillis Webber (University of Cape Town, South Africa) - Voula Giouli (Athena Research Center, Greece) - Dagmar Gromann (University of Vienna, Austria) - Yoshihiko Hayashi (Waseda University, Japan) - Alik Kirillovich (Higher School of Economics, Russia) - Penny Labropoulou (Athena Research Center, Greece) - Chaya Liebeskind (Jerusalem College of Technology, Israel) - David Lindemann (University of the Basque Country, Spain) - Francesco Mambrini (Università Cattolica del Sacro Cuore, Italy) - Monica Monachini (CNR-ILC, Italy) - Steven Moran (Université de Neuchâtel, Switzerland) - Diego Moussallem (Paderborn University, Germany) - Roberto Navigli (“La Sapienza” Università di Roma, Italy) - Petya Osenova (IICT-BAS, Bulgaria) - Ana Ostroški Anić (Institute of Croatian Language and Linguistics, Croatia) - Giulia Pedonese (CNR-ILC, Italy) - Sigita Rackevičienė (Mykolas Romeris University, Lithuania) - Felix Sasaki (SAP, Germany) - Andrea Schalley (Karlstad University, Sweden) - Gilles Sérasset (University Grenoble Alpes, France) - Milena Slavcheva (IICT-BAS, Bulgaria) - Blerina Spahiu (Bicocca University, Italy) - Ranka Stanković (University of Belgrade, Serbia) - Armando Stellato (University of Rome, Italy) - Federica Vezzani (University of Padua, Italy) *Patricia Martín Chozas - Postdoctoral Researcher* * Ontology Engineering Group* Artificial Intelligence Department ETSI Informáticos - Universidad Politécnica de Madrid Phone: (+34) 910673091

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CFP - SIGIR 2024 Workshop on eCommerce
by Surya Kallumadi 01 Mar '24

01 Mar '24

Call For Papers - SIGIR eCom'24 - https://sigir-ecom.github.io/ The SIGIR Workshop on eCommerce will serve as a platform for publication and discussion of Information Retrieval, NLP and Vision research relative to their applications in the domain of eCommerce. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to product search and recommendation in eCommerce. The deadline for paper submission is April 25, 2024 (11:59 P.M. AoE) The special theme of this year's workshop is eCommerce Search in the Age of Generative AI and LLMs. The workshop will also include a data challenge. This year we will collaborate with TREC on a product search data challenge ( https://trec-product-search.github.io/index.html). The overarching goal is to study how end-to-end retrieval systems can be built and evaluated given a large set of products. The data challenge provides a corpus of products and a set of user intents (queries): the goal is to find the product that suits the user’s needs. SIGIR eCom is a full day workshop taking place on Thursday, July 18, 2024 in conjunction with SIGIR 2024. SIGIR eCom'24 will be an in-person workshop. ________________ Important Dates: Paper submission deadline - April 25, 2024 (11:59 P.M. AoE) Notification of acceptance - May 23, 2024 Camera Ready Version of Papers Due - June 24, 2024 SIGIR eCom Full day Workshop - July 18, 2024 We invite quality research contributions, position and opinion papers addressing relevant challenges in the domain of eCommerce. We invite submission of both papers and posters. All submitted papers and posters will be single-blind and will be peer reviewed by an international program committee of researchers of high repute. Accepted submissions will be presented at the workshop. Topics: Topics of interest include, but are not limited to: - eCommerce search in the age of Generative AI and LLMs (2024 special theme) - Ranking and Whole Page Relevance - Optimization for IR and business metrics - Diversity in product search and recommendations - Relevance models for multi-faceted entities - Relevance vs. revenue - Deterministic sorts (e.g. price low to high) - Temporal dynamics and seasonality - Query and Document Understanding - Query intent, query suggestions, and auto-completion - Strategies for resolving low or zero recall queries - Converting across modalities (e.g., text, structured data, images) - Categorization and facets - Reviews and sentiment analysis - Recommendation and Personalization - Personalization & contextualization, including the use of personal facets such as age, gender, location - Privacy, bias and ethics in eCommerce IR - Blending recommendations and search results - Representations and Data - Semantic representation of products, queries, and customers - Construction and use of knowledge graphs for eCommerce - IR Fundamentals for eCommerce - Unified and universal search and recommendations - Cross-lingual search and machine translation - Indexing and search in rapidly changing environments (e.g., auction sites) - Experimentation techniques including AB testing and multi-armed bandits - Visual Search in ecommerce - Large-scale Visual Search Challenges and Solutions - Multimodal Search and combining visual and textual information - Combining Vision and language models - Explainable AI for Visual Search - Other challenges - Trust, transparency, and fairness in eCommerce - UX for eCommerce - The role of search in trust and security for marketplaces - Question answering and chatbots for eCommerce Data/Resource Track: In order to promote academic research in the eCommerce domain, we plan to accept a small number of high quality dataset contributions. These submissions should be accompanied by a clear and detailed description of the dataset, some potential questions and applications that arise from it. Preliminary empirical investigations conveying any insight about the data will increase the quality of the submission. Submission Instructions: All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. The workshop follows a single-blind reviewing process, i.e. author names must be on the papers. We do not accept anonymized submissions. At least one of the authors of each accepted paper must register for the workshop and present the paper. All submissions must be in PDF formatted according to the latest CEUR single column format; the short (8-page) and long (15-page) limits are extended to account for this. For instructions and LaTeX/Overleaf/docx templates, see: https://ceur-ws.org/HOWTOSUBMIT.html#CEURART Read up to and including the “License footnote in paper PDFs” section. Please Use Emphasizing Capitalized Style for Paper Titles. Submit your paper PDF through the SIGIR eCom’24 Easychair: https://easychair.org/conferences/?conf=sigirecom24 Long paper limit: 15 pages. References are not counted in the page limit. Short paper limit: 8 pages. References are not counted in the page limit. The deadline for paper submission is April 25, 2024 (11:59 P.M. AoE) https://sigir-ecom.github.io/

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CFP: DHOW: Diffusion of Harmful Content on Online Web Workshop
by Gautam Kishore Shahi 01 Mar '24

01 Mar '24

The 1st Workshop on DHOW: Diffusion of Harmful Content on Online Web Workshop The workshop will be conducted in a *hybrid* format to ensure maximum participation, accommodating attendees both *online* and in person. Submission deadline: extended to *March 22 2024 AOE* *Workshop site*: https://dhow-workshop.github.io/ *Co-located with WebSci 2024* https://websci24.org/ <https://lrec-coling-2024.org/> Stuttgart, Germany, 21-24 May 2024 *Important Dates* Submission deadline: extended to *March 22, 2024* Notification of acceptance: April 12, 2024 Camera-ready papers due: April 22, 2024 Workshop date: May 21, 2024 *Workshop Description* With the advancement of digital technologies and gadgets, online content is easily accessible. At the same time, harmful content also gets spread. There are different harmful content available on different platforms in multiple languages. The topic of harmful content is broad and covers multiple research directions. But from the user’s aspect, they are affected by them all. Often, it is studied individually, like misinformation and hate speech. Research has been done on one platform, monolingual, on a particular issue. It leads to harmful content spreaders switching platforms and languages to reach the user base. Harmful is not limited to social media but also news media. Spreader shares harmful content in posts, news articles, comments, and hyperlinks. So, there is a need to study the harmful content by combining cross-platform, language, multimodal data and topics. We will bring the research on harmful content under one umbrella so that research on different topics (hate speech, misinformation, disinformation, self-harm, offensive content, etc.) can bring some novel methods and recommendations for users, leveraging text analysis with image, audio, and video recognition to detect harmful content in diverse formats. The workshop will cover the ongoing issue of war or elections in 2024. We believe this workshop will provide a unique opportunity for researchers and practitioners to exchange ideas, share latest developments, and collaborate on addressing the challenges associated with harmful contents spread across the Web. We expect that the workshop will generate insights and discussions that will help advance the field of societal artificial intelligence (AI) for the development of safer internet. In addition to attracting high quality research contributions to the workshop, one of the aims of the workshop is to mobilise the researchers working on the related areas to form a community. *Submissions Topics* - Analysis of different types of harmful content(fake news, misinformation, hate speech) - Computational fact-checking - Role of Generative AI in Mitigating Harmful Content - Identifying harassment/bullying/hate speech, and misinformation/disinformation - Role of Explainable AI in Studying Harmful Content - Multi-modal harmful content (fake news, misinformation, hate speech) - Deepfake and its influence - Multi-lingual harmful content like Hate speech, Fake News, Bot, spam, troll detection *Submissions* - Submission Instructions: https://dhow-workshop.github.io/#call - Submission Link: https://easychair.org/conferences/?conf=dhow2024 * Workshop organizers* - Thomas Mandl (University of Hildesheim, Germany) - Haiming Liu (University of Southampton, United Kingdom) - Gautam Kishore Shahi (University of Duisburg-Essen, Germany) - Amit Kumar Jaiswal (University of Surrey, United Kingdom ) - Luis-Daniel Ibáñez (University of Southampton, United Kingdom) - Durgesh Nandini (University of Bayreuth, Germany) Organisers, DHOW 2024 Web: DHOW <https://websci24.org/workshops-and-tutorials/>

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2024

2023

2022

Corpora March 2024