• Workshop program has been updated. Please refer to the Program section . (2024.05.13)

• The program@TheWebConf-2024 is announced. Please refer to the Program section .

• The submission deadline is extended to February 19, 2024. (2024.02.05) 

• SocialNLP 2024 webpage is online. (2023.12.18)

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 11th SocialNLP 2023 . 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 12th SocialNLP workshop in ACM The Web Conference (WWW) 2024 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

Date: May 24, 2024

Time Zone: Singapore Time (UTC+8)

** Each paper is with 13-minute presentation plus 2-minute QA. **

** Workshop proceedings can be accessed via this link **

09:55 - 10:00 Opening

10:00 - 10:15 Analysis of the Effect between the Information Type on SNSs and User Attributes during Disaster
Kosuke Wakasugi, Yu Suzuki and Akiyo Nadamoto

10:15 - 10:30 Contrastive Disentanglement for Authorship Attribution
Zhiqiang Hu, Thao Thanh Nguyen, Yujia Hu, Chia-Yu Hung, Ming Shan Hee, Chun Wei Seah and Roy Ka-Wei Lee

10:30 - 11:00 Coffee Break 

11:00 - 11:15 [Virtual Presentation] Deep Learning for Hate Speech Detection: A Personality-based Approach
Kyuhan Lee and Sudha Ram

11:15 - 11:30 [Virtual Presentation] Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model
Xi Cao, Nuo Qun, Quzong Gesang, Yulei Zhu and Trashi Nyima

11:30 - 11:45 [Virtual Presentation] Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis
Faseela Abdullakutty and Usman Naseem

11:45 - 12:00 SigBart: Enhanced Pre-training via Salient Content Representation Learning for Social Media Summarization
Sajad Sotudeh and Nazli Goharian

12:00 - 12:15 [Virtual Presentation] Understanding the Impact of COVID-19 on Online Eating Disorder Communities On Reddit
Md Al Amin and Lu Liu

12:15 - 12:20 Closing Remarks

12:30 - 13:30 Lunch

SocialNLP @ TheWebConf 2024

• Submission Site (via Easychair): https://easychair.org/conferences/?conf=thewebconf2024_workshops

• 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 2024 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 2024. 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: February 5, 2024  February 19, 2024 

• Author Notification: March 4, 2024  March 8, 2024

• Camera-Ready Submission: March 11, 2024

• Workshop Date: May 14, 2024

* 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 2023 in TheWebConf 2023 and AACL-IJCNLP 2023

• 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!