SocialNLP 2023
The 11th International Workshop on Natural Language Processing for Social Media
In conjunction with IJCNLP-AACL 2023 @ November 1, 2023
In conjunction with ACM TheWebConf 2023 @ April 30, 2023
The 11th International Workshop on Natural Language Processing for Social Media
In conjunction with IJCNLP-AACL 2023 @ November 1, 2023
In conjunction with ACM TheWebConf 2023 @ April 30, 2023
The proceedings of SocialNLP@AACL-2023 can be accessed via this link.
The program@AACL-2023 is announced. Please refer to the Program section .
Workshop date of SocialNLP@AACL is November 1, 2023.
The submission deadline of SocialNLP@AACL is extended to September 12, 2023. September 20, 2023
@AACL SoftConf submission site is updated: https://softconf.com/ijcnlp2023/WorkshopSocialNLP2023
SocialNLP 2023 will also be held at IJCNLP-AACL 2023. (2023.7.25)
Link to join the workshop @TheWebConf-2023 virtually (also for virtual presentation): https://nckucc.webex.com/meet/z10508029 .
The program@TheWebConf-2023 is announced. Please refer to the Program section .
The workshop@TheWebConf-2023 location will be at University of Texas Gates Dell Complex- Room # 1.304
Workshop@TheWebConf-2023 date will be April 30, 2023.
Submission deadline of SocialNLP@@TheWebConf-2023 is extended to February 15, 2023.
@TheWebConf Easychair submission site is updated: https://easychair.org/my/conference?conf=thewebconf2023iwpd
SocialNLP 2023 webpage is online. (2022.12.21)
With the rapid growing of social networks and Web 2.0 services (e.g. Facebook and Twitter), being able to process data come from such platforms has gained much attention in recent years. SocialNLP is a new inter-disciplinary area of natural language processing (NLP) and social computing. We consider three plausible directions of SocialNLP: (1) addressing issues in social computing using NLP techniques; (2) solving NLP problems using information from social networks or social media; and (3) handling new problems related to both social computing and natural language processing.
Several challenges are foreseeable in SocialNLP. First, the message lengths on social media services are usually short (e.g. 140 characters per tweet in Twitter) and thus it is difficult to apply traditional NLP approaches directly. Second, social media contains heterogeneous social information (e.g. tags, friends, followers, endorsements, profiles, and retweets) that should be considered together with the contents for better quality of analysis. Finally, microblogs and the social media contents always involve the interactions among multiple persons with slangs and jargons, and usually require special techniques to distill reasonable information and discover useful knowledge.
To encourage research in the area of SocialNLP, we have organized a SocialNLP SIG-group in AFNLP since 2012 and made it first a yearly now twice a year based workshop series. The latest SocialNLP workshop website is available at 10th SocialNLP 2022 . Through this workshop, we provide a platform for research outcome presentations and head-to-head discussions in the research area of SocialNLP, with the hope to combine the insight and experience of prominent researchers from both NLP and social computing fields to jointly contribute to this area.
We aim at organizing the 11th SocialNLP workshop in ACM The Web Conference (WWW) 2023 and IJCNLP-AACL 2023 due to the following rationales. First, social media analysis and sentiment analysis are two research topics that are closely related to natural language processing based on various web contents. Moreover, their development highly depends on NLP techniques due to textual data. In recent WWW and *CL conference series, no matter to tell from the number of submissions or participants, it is apparent that NLP and social media analysis are certainly two of the biggest research communities. Therefore, we believe that the SocialNLP workshop can draw much interest and attract many audiences from potential academic or industrial participants of WWW and *CL. Second, social media data is essentially generated and collected from online social services, which have accumulated a large number of user-generated social data. Processing such large-scale social data with linguistic knowledge and NLP techniques has encountered many important research problems. Hence NLP researchers might find some inspirations and useful information from the SocialNLP workshop. Third, user-generated data in social media is mainly in the form of text. Theories and techniques on Web information retrieval and natural language processing are desired for semantic understanding, accurate search, and efficient processing of social media content. From the perspective of application, novel online applications involving social media analysis and sentiment analysis, such as emergency management, social recommendation, user behavior analysis, user social community analysis and future prediction are topics that NLP researchers have paid attention to. In short, hosting SocialNLP workshop in WWW and IJCNLP will provide mutually-reinforced benefits for researchers in areas of Web techniques, natural language processing and social media analytics. We believe collecting thoughts and comments of these researchers will also bring up many great ideas and opportunities for future research collaborations.
Seeing the high impact of Covid-19 pandemic and the conferences where researchers have less opportunities to share their experience and communicate with colleagues, we are thinking about what we can do to help mitigate what it did to us and bring the researchers in the community together. As such, we include the topics related to social media and Covid.
We focus on the strength of natural language processing techniques in social media content analysis, especially in the Web environment. The topics of SocialNLP technical papers include (but not limited to):
Content analysis on Social Media
Concept-level sentiment analysis
Summarization of posts/replies on social media
Name entity Recognition on Social media
Relationship extraction on social media
Entity resolution for social media
Search, Indexing, and Evaluation on Social Web
Multilingual Information Retrieval on Social Web
Natural language processing on the Web
Folksonomy and Social Tagging
Trend analysis on Wikipedia
Trustworthiness analysis on Wikipedia
Human computing for social-media corpus generation
Social structure and position analysis using Microblog
Trust and Privacy analysis in social contexts
Community detection using blog or Microblog content
Sentiment and Opinion Analysis on Social Media
Big social data analysis
Lexical semantic resources, corpora and annotations of social media for sentiment analysis
Opinion classification, tracking and summarization
Domain specific sentiment analysis
Sarcasm, convincing language, and deception detection
Sentiment analysis for automatic public opinion poll and surveys of user satisfaction
Improvement of NLP tasks using subjectivity and/or sentiment analysis on social platform
Sentiment analysis and human computer interface on social platform
Real-world sentiment applications and systems
Disaster Management Using Social Media
Modeling global events or human activities based on social media texts
Identification and geo-location of social media content
Social-based web platform for disaster management
Disaster or disease prediction and forecasting
Resource allocation using social media
Monitoring emergency responses among social crowds
Analyzing the diffusion of emergent information
Exploiting social media for crisis response and search and rescue activities
Covid-19 on social media
Information Disorder on Social Media
Fake news detection on short texts
Cyberbullying detection
Hate speech detection
Clickbait detection
Malicious account detection
Robust misinformation detection
Flight again machine-generated fake messages
Multi-modal fake message detection
Spread prediction of disinformation
Explainable AI for information disorder
** Workshop proceedings can be accessed via this link. **
13:50 - 14:00 Opening
Chair: Lun-Wei Ku, Academia Sinica
14:00 - 14:50 Keynote Speech: Social NLP for Low-resource Languages
David Adelani, University College London, UK
14:50 - 15:30 Session: Sentiment and Emotion
14:50 - 15:10 Temporal Tides of Emotional Resonance: A Novel Approach toIdentify Mental Health on Social Media
Usman Naseem , Surendrabikram Thapa, Qi Zhang, Junaid Rashid , Liang Hu, Mehwish Nasim
15:10 - 15:30 Efficient Sentiment Analysis: A Resource-Aware Evaluation ofFeature Extraction Techniques, Ensembling, and Deep LearningModels
Mahammed Kamruzzaman and Gene Kim
15:30 - 16:00 Coffee Break
16:00 - 17:20 Session: Aspects Related to Social Media
16:00 - 16:20 OffMix-3L: A Novel Code-Mixed Test Dataset in Bangla-English-Hindi for Offensive Language Identification
Dhiman Goswami, Md Nishat Raihan, Antara Mahmud, Antonios Anastasopoulos, Marcos Zampieri
16:20 - 16:40 An Emotion-Enriched and Psycholinguistics Features-BasedApproach for Rumor Detection on Online Social Media
Asimul Haque and Muhammad Abulaish
16:40 - 17:00 The Future of Meat: Sentiment Analysis of Food Tweets
マティス リクター and Maija Kāle
17:00 - 17:20 Boosting Adverse Drug Event Normalization on Social Media:General-Purpose Model Initialization and Biomedical SemanticText Similarity Benefit Zero-Shot Linking in Informal Contexts
François Remy, Simone Scaboro, Beatrice Portelli
17:20 - 17:30 Closing Remarks
** Each paper is with 10-minute presentation plus 2-minute QA. **
** Link to join the workshop virtually: https://nckucc.webex.com/meet/z10508029 **
10:00 - 10:12 LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models
Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner and Michael Bendersky
10:12 - 10:24 A Cross-Modal Study of Pain Across Communities in the United States
Arnav Aggarwal, Sunny Rai, Salvataore Giorgi, Shreya Havaldar, Garrick Sherman, Juhi Mittal and Sharath Chandra Guntuku
10:30 - 11:00 Refreshment Break
@ AT&T Hotel and Conference Center Zlotnik Ballroom Foyer
11:00 - 11:12 Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media
Usman Naseem, Jinman Kim, Matloob Khushi and Adam Dunn
11:12 - 11:24 Cultural Differences in Signed Ego Networks on Twitter: An Investigatory Analysis
Jack Tacchi, Chiara Boldrini, Andrea Passarella and Marco Conti
11:24 - 11:36 Claim Extraction and Dynamic Stance Detection in COVID-19 Tweets
Noushin Salek Faramarzi, Fateme Hashemi Chaleshtori, Hossein Shirazi, Indrakshi Ray and Ritwik Banerjee
11:36 - 11:48 Self-supervised Pre-training and Semi-supervised Learning for Extractive Dialog Summarization
Yingying Zhuang, Jiecheng Song, Narayanan Sadagopan and Anurag Beniwal
11:48 - 12:00 Forecasting COVID-19 Vaccination Rates using Social Media Data
Xintian Li and Aron Culotta
12:00 - 12:12 I'm out of breath from laughing! I think? - A dataset of COVID-19 Humor and its toxic variants
Neha Reddy Bogireddy, Smriti Suresh and Sunny Rai
12:12 - 12:24 Stance Inference in Twitter through Graph Convolutional Collaborative Filtering Networks with Minimal Supervision
Zhiwei Zhou and Erick Elejalde
12:24 - 12:30 Closing Remarks
12:30 - 13:30 Lunch
@ AT&T Hotel and Conference Center Zlotnik Ballroom Foyer
SocialNLP @ AACL 2023:
Submission Site (via SoftConf): https://softconf.com/ijcnlp2023/WorkshopSocialNLP2023
Page Length: Regular Paper: 8 pages, DATA Paper: 4 pages (both allow additional 2 pages for references)
Template: Both regular and data papers must follow the ACL 2023 two-column format, using the supplied official style files. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review.
Proceedings: ACL Anthology
SocialNLP @ TheWebConf 2023
Submission Site (via Easychair): https://easychair.org/my/conference?conf=thewebconf2023iwpd
Page Length: not exceed 12 pages in length
(maximum 8 pages for the main paper content + maximum 2 pages for appendixes + maximum 2 pages for references)
Template: ACM template published in the ACM guidelines, selecting the generic “sigconf” sample. Submissions must adhere to the ACM template and format . Please remember to add Concepts and Keywords. Please use the template in traditional double-column format to prepare your submissions. For example, word users may use Word Interim Template, and LaTeX users may use the “sample-sigconf” template. Overleaf users may want to use the ACM proceedings template available in Overleaf.
Proceedings: TheWebConf 2023 proceedings (companion volume)
Workshop papers that have been previously published or are under review for another journal, conference or workshop should not be considered for publication. Papers must be submitted in PDF format. 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, or do not view or print properly, will be rejected without review. Each submission will be evaluated by at least 3 program committee members.
SocialNLP review is double-blind. Therefore, please anonymize your submission: do not put the author(s) names or affiliation(s) at the start of the paper, and do not include funding or other acknowledgments in papers submitted for review. In addition to Regular Paper submission, we call for DATA PAPER this year. A data paper should include the details of the created dataset and an experiment illustrating how to use it. Authors should note it as a data paper using the author field and submit at least partial data as accompanied materials. The created dataset should be able to be downloaded or acquired through an application process freely. If the data paper is accepted, we will list the link for accessing the dataset in the SocialNLP website. Note that the review for data papers is also double-blind and it is authors' responsibility to avoid revealing their identities.
To pursue high quality submission, we will have a best paper award of SocialNLP 2023. The selection process will depend on not only the review comments/ratings, but also the quality of paper that is rated by paper authors. Selected, expanded versions of papers presented at the workshop will be published in two follow-on Special Issues of Springer Journal of Information Science and Engineering (JISE) and the International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP).
Submission Deadline: August 25, 2023 September 12, 2023 September 20, 2023
Author Notification: October 2, 2023 October 5, 2023
Camera-Ready Submission: October 15, 2023
Workshop Date: November 1, 2023
* All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.
Submission Deadline: February 6, 2023 February 15, 2023
Author Notification: March 6, 2023
Camera-Ready Submission: March 20, 2023
Workshop Date: April 30, 2023
* All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.
Myrthe Reuver, Free University of Amsterdam
Jenq-Haur Wang, National Taipei University of Technology
Sundong Kim, Institute for Basic Science
Sungkyu Park, Institute for Basic Science (IBS)
Kunwoo Park, Soongsil University
Min-Yuh Day, National Taipei University
Shih-Hung Wu, Dept. of CSIE, Chaoyang University of Technology
Wen-Lian Hsu, Academia Sinica
Kuan-Yu Chen, National Taiwan University of Science and Technology
Muheng Yan, University of Pittsburgh
Ingmar Weber, Qatar Computing Research Institute
Tsung-Ting Kuo, University of California San Diego
Liang-Chih Yu, Yuan Ze University
Zhiqiang Zhong, University of Luxembourg
Lung-Hao Lee, National Central University
Yung-Chun Chang, Taipei Medical University
Bruno Martins, IST and INESC-ID - Instituto Superior Tecnico, University of Lisbon
Danilo Croce, Dept. of Enterprise Engineering - Univ. of Roma Tor Vergata
Hen-Hsen Huang, Institute of Information Science, Academia Sinica
Kai Wei, Amazon
Lun-Wei Ku, Academia Sinica, Taiwan
Cheng-Te Li, National Cheng Kung University, Taiwan
SocialNLP 2022 in TheWebConf 2022 and NAACL 2022
SocialNLP 2021 in TheWebConf 2021 and NAACL 2021
SocialNLP 2020 in TheWebConf 2020 and ACL 2020
SocialNLP 2019 in IJCAI 2019
SocialNLP 2018 in WWW 2018 and ACL 2018
SocialNLP 2017 in EACL 2017 and IEEE BigData 2017
SocialNLP 2016 in IJCAI 2016 and EMNLP 2016
SocialNLP 2015 in WWW 2015 and NAACL 2015
SocialNLP 2014 in COLING 2014
SocialNLP 2013 in IJCNLP 2013
If you are considering submitting to the workshop and have questions regarding the workshop scope or need further information, please do not hesitate to send e-mail to lwku [AT] iis.sinica.edu.tw, chengte [AT] mail.ncku.edu.tw . Thanks!