The 8th International Workshop on
Natural Language Processing for Social Media
In conjunction with TheWebConf 2020 @ April 20, 2020, Taipei, Taiwan.
In conjunction with ACL 2020 @ July 10, 2020, Seattle, Washington, USA.


  • Fix the time zone error: the time zone of SocialNLP@ACL is at UTC-7 (PDT time zone). (2020.07.08)
  • The program of SocialNLP@ACL is announced. Please visit our program. (2020.06.29)
  • The deadline of camera-ready version for SocialNLP@ACL 2020 is extended to May 25, 2020. (2020.05.12)
  • EmotionGIF Challenge 2020, the shared task of SocialNLP@ACL 2020, is announced!! (2020.05.12)

    With the proliferation of animated GIFs in social networks, their importance as a way to express affective states, including emotions, is growing. Given their expressiveness, GIFs offer a more nuanced and precise way to convey emotions.

    This year we present a novel challenge. Our dataset contain around 40,000 tweets and their GIF responses, labeled with the categories of the animated GIFs. The challenge: given unlabeled tweets, predict the category of a GIF response.

    Read more about the task!

    May 05, 2020: Registration Open, Data Available, Practice Phase Begins
    June 5, 2020: Evaluation Phase Begins (08:00 UTC)
    June 8, 2020: Evaluation Phase Ends (08:00 UTC)
    June 11, 2020: Evaluation Results Released
    June 18, 2020: Draft Technical Report Due
    June 22, 2020: Acceptance and Presentation Mode Notification
    June 29, 2020: Final Technical Report Due

  • The notification date of SocialNLP@ACL 2020 is extended to May 12, 2020. (2020.05.06)
  • The online Zoom link: (2020.04.19)
  • The online program of SocialNLP@TheWebConf is announced. Please visit our program. (2020.04.12)
  • The deadline of SocialNLP@ACL is extended to April 20, 2020. The corresponding notification is postponed to May 8, 2020. (2020.04.01)
  • Due to the pandemic of COVID-19, SocialNLP@TheWebConf is moved to online by releasing the pre-recorded videos (including the keynote talk and all paper presentations). We will announce here. (2020.04.01)
  • The notification date of SocialNLP@TheWebConf 2020 is extended to February 6, 2020. (2020.01.20)
  • The submission site of SocialNLP@ACL 2020 is updated. Please submit the paper via Softconf site. (2020.01.13)
  • The deadline of SocialNLP@TheWebConf is extended to January 3, 2020. (2019.12.13)
  • The submission site of SocialNLP@TheWebConf 2020 is updated. Please submit the paper via Easychair. (2019.12.13)
  • SocialNLP 2020 webpage is online. (2019.11.20)

Workshop Description

With social media services' rise of popularity, including general-purpose Microblogs such as Facebook, Twitter, and Plurk, goal-oriented services such as Linkedln (for professional occupation), (a social bookmarking service), and Foursquare (a check-in service for mobile devices), and Web 2.0-based large-scale knowledgebase such as Wikipedia and common-sense corpus, now researchers can assess heterogeneous information of the target human/object that includes not only text content but also meta-data, or even the social relationships among persons.

Furthermore, the content on social media and Web 2.0 platforms is different from that on others in terms of style, tone, purpose, etc. For instance, posts on twitter are limited in size, thus can contain jargons, emoticons, or abbreviations which usually do not follow formal grammar. It is not suitable to apply existing natural language techniques on such content because they are not tailored to do so. For instance, standard summarization techniques might not be suitable for Plurk posts that are relatively short and contain responses from multiple friends; and sentiment dictionaries learned from news corpus might not be suitable for sentiment detection tasks on Microblogs.

As it is generally believed social media has become one of the major means for communication and content producing, while such trend is not likely to fade away, being able to process content from social media platforms does bring a lot of values in real-world applications. Furthermore, due to the change of the style to the content and the availability of heterogeneous resources (e.g. social relationship among people) one can obtain, novel NLP techniques that are designed specifically for such platform and can potentially integrate or learn information from different sources are highly demanded. Below we highlight some (non-exclusive) important themes in this direction.

Organizing the SocialNLP workshop in TheWebConf 2020 and ACL 2020 is three-fold. First, social media analytics is the research topic which is closely related to natural language processing. But with the challenges mentioned above, we resort to the AI community and attempt to find the role of AI/NLP/WWW techniques in SocialNLP. In recent NLP-related conferences, no matter to tell from the number of submissions or participants, it is apparent that sentiment analysis and the social media analytics are certainly two of the main research topics. Second, social media data is essentially generated and collected from online social services, which have accumulated a large number of user-generated social data, i.e., big social data. Processing such big social data with linguistic knowledge and NLP techniques has encountered many important research problems. Through SocialNLP, the cutting edge technology will be introduced to AI researchers, where they might find some inspirations and useful information. Moreover, as SocialNLP has an aim to make data available to the research community and will provide a platform for researchers to share datasets, AI researchers and NLP researchers can get familiar with the data from each other and access them easily. Third, user-generated content in social media is mainly in the form of text. Theories and techniques on artificial intelligence and natural language processing are desired for semantic understanding, accurate search, and efficient processing of social media contents. From the perspective of application, novel online applications involving social media analytics and sentiment analysis, such as emergency management, social recommendation, user behavior analysis, user social community analysis and future prediction, are topics that NLP and AI researchers have paid attention to. In short, hosting SocialNLP workshop in TheWebConf and ACL will provide mutually-reinforced benefits for researchers in areas of AI 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.

Topics of Interest

Topics of interests for the workshop include, but are 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
  • Improving Speech Recognition using Social Media Content
  • Multilingual and Language specific Information Retrieval on Social Web

Natural language processing on Web 2.0

  • 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 content
  • Trust and Privacy analysis in social contexts
  • Community detection using blogs 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 retrieval, extraction, classification, tracking and summarization
  • Domain specific sentiment analysis and model adaptation Emotion 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 on social platform

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

Models and Tools Development for SocialNLP

  • Biologically-inspired opinion mining
  • Social-network motivated methods or tools for natural language processing
  • Advanced topic model for social media
  • Learning to rank for social media
  • Clustering and Classification tools for Social Media
  • Content-based and social-based Recommendation
  • Multi-lingual machine translation on Microblog

Paper Submission

SocialNLP @ TheWebConf 2020 SocialNLP @ ACL 2020
Page Limit Regular Paper: 8 pages
DATA Paper: 5 pages
(both includes references)
Regular Paper: 8 pages
DATA Paper: 4 pages
(both allow additional 2 pages for references)
Paper Template ACM Format (sigconf)
ACL Style Files
Submission Site Easychair Submission Site Softconf Submission site

SocialNLP review is double-blind. Therefore, please anonymize your submission: do not put the au-thor(s) names or affiliation(s) at the start of the paper, and do not include funding or other acknowl-edgments in papers submitted for review. In addition to regular paper, 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’ re-sponsibility to avoid revealing their identities.

Papers submitted to this workshop must not have been accepted for publication elsewhere or be under review for another workshop, conference or journal. Papers should be written in English. Each submis-sion will be evaluated by at least 3 program committee members. For SocialNLP@WWW-2020, the workshop proceedings will be published in ACM Digital Library. For SocialNLP@ACL-2020, the workshop proceedings will be published in ACL Anthology.

To pursue high quality submission, we will have a best paper award of SocialNLP 2020 for both venues. 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).

Program @ TheWebConf 2020

Date: April 20 morning
Zoom link:

SocialNLP @ TheWebConf 2020
09:00-10:00 [Keynote Speech] Robust and Scalable Conversational AI
Yun-Nung (Vivian) Chen, Assistant Professor,
Department of Computer Science and Information Engineering at National Taiwan University (NTU)
Even conversational systems have attracted a lot of attention recently, the current systems sometimes fail due to the errors from different components. This talk presents two research directions: 1) we first focus on learning language embeddings specifically for practical scenarios such as more noisy inputs during inference, and 2) secondly we propose a novel learning framework for natural language understanding and generation on top of duality for better scalability. Both directions enhance the generalizability and scalability of conversational systems, showing the potential of guiding future research areas.
Yun-Nung (Vivian) Chen is currently an assistant professor in the Department of Computer Science & Information Engineering at National Taiwan University. She earned her Ph.D. degree from Carnegie Mellon University, where her research interests focus on spoken dialogue systems, language understanding, natural language processing, and multimodality. She received Google Faculty Research Awards, MOST Young Scholar Fellowship, FAOS Young Scholar Innovation Award, Student Best Paper Awards, and the Distinguished Master Thesis Award. Prior to joining National Taiwan University, she worked in the Deep Learning Technology Center at Microsoft Research Redmond.

Paper Session
[20 Minutes] Cross-domain Ontology Construction and Alignment from Online Product Reviews
Qian Geng; Siyu Deng; Danping Jia; Jian Jin

[20 Minutes] Adversarial Examples in Online APP Review System: A Large-scale Analysis and Detection
Jianyu Wang; Rui Wen; Chunming Wu

[20 Minutes] Automatic Labelling of Tweets for Crisis Response Using Distant Supervision
Reem Alrashdi; Simon O'Keefe

[20 Minutes] Semantic Textual Similarity of Sentences with Emojis
Alok Debnath; Nikhil Pinnaparaju; Isabelle Augenstein

Program @ ACL 2020

Date: July 10
Time Zone: UTC -7 (PDT)

SocialNLP @ ACL 2020
09:05-09:10 Opening
09:10-10:10 [Keynote Speech] Managing Information and Debunking Misinformation in the Time of Covid-19
Pascale Fung, Professor,
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology
10:30-10:50 Coffee Break
Technical Session 1
[20 Minutes] Enhancing Bias Detection in Political News Using Pragmatic Presupposition
Lalitha Kameswari, Dama Sravani and Radhika Mamidi
[20 Minutes] Demoting Racial Bias in Hate Speech Detection
Mengzhou Xia, Anjalie Field and Yulia Tsvetkov
Data Session
[20 Minutes] NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities
Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripa Ghosh and Saptarshi Ghosh
[20 Minutes] BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection
Jihyung Moon, Won Ik Cho and Junbum Lee
[20 Minutes] Stance Prediction for Contemporary Issues: Data and Experiments
Marjan Hosseinia, Eduard Dragut and Arjun Mukherjee
12:30-14:00 Lunch Break
14:00-15:00 EmotionGIF Challenge 2020
15:00-15:30 Coffee Break
Technical Session 2
[20 Minutes] Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline
David Helbig, Enrica Troiano and Roman Klinger
[20 Minutes] Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
Shengbin Jia, Ling Ding, Xiaojun Chen, Shijia E and Yang Xiang
[20 Minutes] Multi-Task Supervised Pretraining for Neural Domain Adaptation
Sara Meftah, Nasredine Semmar, Mohamed-Ayoub Tahiri, Youssef Tamaazousti, Hassane Essafi and Fatiha Sadat
16:30-16:35 Closing Remark

Important Dates

SocialNLP @ TheWebConf 2020 SocialNLP @ ACL 2020
Submission Deadline December 16, 2019
Extended to January 3, 2020
April 6, 2020
Extended to April 20, 2020
Author Notification January 20, 2020
Extended to February 6, 2020
May 4, 2020
Extended to May 8, 2020
Extended to May 12, 2020
Camera-ready Submission February 17, 2020 May 18, 2020
Extended to May 25, 2020
Workshop Date April 20, 2020 July 10, 2020

Program Committee

  • Sabine Bergler, Concordia University
  • Berlin Chen, National Taiwan Normal University
  • Hsin-Hsi Chen, National Taiwan University
  • Hai Leong Chieu, DSO National Laboratories
  • Monojit Choudhury, Microsoft Research
  • Freddy Chua, Singapore Management University
  • Nigel Collier, University of Cambridge
  • Danilo Croce, University of Roma, Tor Vergata
  • Lei Cui, Microsoft Research
  • Ronan Cummins, University of Cambridge
  • Pradipto Das, Rakuten USA
  • Min-Yuh Day, Tamkang University, Taiwan
  • Ann Devitt, Trinity College Dublin
  • Eduard Dragut, Temple University
  • Koji Eguchi, Kobe University
  • Michael Elhadad, Ben-Gurion University
  • Wei Gao, Victoria University of Wellington
  • Spandana Gella, University of Edinburgh
  • Marco Guerini, Fondazione Bruno Kessler
  • Weiwei Guo, LinkedIn
  • William Hamilton, Stanford University
  • Graeme Hirst, University of Toronto
  • Wen-Lian Hsu, Academia Sinica
  • Diana Inkpen, University of Ottawa
  • David Jurgens, Stanford University
  • Pallika Kanani, Oracle Labs
  • Soo-Min Kim, Amazon
  • Roman Klinger, University of Stuttgart
  • June-Jei Kuo, National Chung Hsing University
  • Tsung-Ting Kuo, University of California, San Diego
  • Cheng-Te Li, National Cheng Kung University
  • Chuan-Jie Lin, National Taiwan Ocean University
  • Shou-De Lin, National Taiwan University
  • Yiqun Liu, Tsinghua University
  • Zhiyuan Liu, Tsinghua University
  • Bin Lu, Google Inc.
  • Zhunchen Luo, China Defense Science and
  • Technology Information Center
  • Bruno Martins, University of Lisbon
  • Yelena Mejova, Qatar Computing Research Institute
  • Rada Mihalcea, University of Michigan
  • Manuel Montes-y-Gómez, INAOE, Mexico
  • Dong Nguyen, University of Twente
  • Haris Papageorgiou, ATHENA Research and Innovation Center
  • Souneil Park, Telefonica Research
  • Michael Paul, University of Colorado Boulder
  • Georgios Petasis, NCSR "Demokritos"
  • Stephen Pulman, Oxford University
  • Sravana Reddy, Wellesley College
  • Paolo Rosso, Universitat Politècnica de València
  • Derek Ruths, McGill University
  • Saurav Sahay, Intel Labs
  • Hassan Saif, The Open University
  • Scott Nowson, PwC Middle East, Dubai, United Arab Emirates
  • Yohei Seki, University of Tsukuba
  • Mário J. Silva, Universidade de Lisboa
  • Yanchuan Sim, Institute for Infocomm Research
  • Jan Snajder, University of Zagreb
  • Jannik Strötgen, Max Planck Institute for Informatics
  • Xavier Tannier, Université Paris-Sud, LIMSI, CNRS
  • Mike Thelwall, University of Wolverhampton
  • Ming-Feng Tsai, National Chengchi University
  • Paola Velardi, Università di Roma
  • Marc Verhagen, Brandeis University Svitlana Volkova, PNNL
  • Xiaojun Wan, Peking University
  • Hsin-Min Wang, Academia Sinica
  • Jenq-Haur Wang, National Taipei University of Technology
  • William Yang Wang, UC Santa Barbara
  • Ingmar Weber, Qatar Computing Research Institute, HBKU
  • Robert West, École Polytechnique Fédérale de Lausanne
  • Kam-Fai Wong, The Chinese University of Hong Kong
  • Shih-Hung Wu, Chaoyang University of Technology
  • Ruifeng Xu, Harbin Institute of Technology
  • Yi Yang, Georgia Tech
  • Liang-Chih Yu, Yuan Ze University
  • Zhe Zhang, IBM Watson
  • Hua-Ping Zhang, Beijing Institute of Technology
  • Ming Zhou, Microsoft Research Asia
  • Deyu Zhou, Southeast University


Past SocialNLP


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 both lwku [AT] and chengte [AT] Thanks!