The International AAAI Conference on Web and Social Media (ICWSM) is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media. This overall theme includes research in new perspectives in social theories, as well as computational algorithms for analyzing social media. ICWSM is a singularly fitting venue for research that blends social science and computational approaches to answer important and challenging questions about human social behavior through social media while advancing computational tools for vast and unstructured data.
ICWSM, now in its fifteenth year, has become one of the premier venues for computational social science, and previous years of ICWSM have featured papers, posters, and demos that draw upon network science, machine learning, computational linguistics, sociology, communication, and political science. The uniqueness of the venue and the quality of submissions have contributed to a rapidly growing conference, and a competitive acceptance rate of approximately 20% for full-length research papers published in the proceedings by the Association for the Advancement of Artificial Intelligence (AAAI).
Building on the successes in previous years, in addition to the usual program of contributed talks, posters, and demos, ICWSM-2021 will also hold a dedicated day of workshops and tutorials on June 7th, 2021.
Social Science and Sociophysics Track
We will be continuing the 'social science and sociophysics' track at ICWSM-2021 following its successful debut in 2013. This option is for researchers in social science and sociophysics who wish to submit works without publication in the conference proceedings. While papers in this track will not be published, we expect these submissions to describe the same high-quality and complete work as the main track submissions. Papers accepted to this track will be presented either as full-length or poster presentations integrated with the conference, and their abstracts will be published in the conference proceedings. Papers submitted to this track will be reviewed through the same reviewing process as full papers.
Ella Haig, Kenny Joseph, and Afra Mashhadi
(ICWSM-2021 PC Chairs | firstname.lastname@example.org)
Poster papers must be no longer than 5 pages, with page 5 containing nothing but references, and demo descriptions must be no longer than 3 pages, with page 3 containing nothing but references, and all must be submitted by the deadlines given above.
Ella Haig, Kenny Joseph, and Afra Mashhadi
(ICWSM-2021 PC Chairs | email@example.com)
Dataset Paper Format:
Dataset paper submissions must comprise two parts: a dataset or group of datasets, and metadata describing the content, quality, structure, potential uses of the dataset(s), and methods employed for data collection. Descriptive statistics may be included in the metadata (more sophisticated analyses should be part of a regular paper submission).
Authors need to include a discussion about ethical considerations related to the collection and use of their datasets. Also, authors are encouraged to include a description of how they intend to make their datasets FAIR, and we would encourage authors to consider addressing the questions covered in the Datasheets for Datasets recommendations. Datasets and metadata must be published using a dataset sharing service (e.g. Zenodo, datorium, dataverse, or any other dataset sharing services that indexes your dataset and metadata and increases the re-findability of the data) that provides a DOI for the dataset, which should be included in the dataset paper submission. Dataset paper review will be single blind, and all datasets have to be identified and uploaded at the time of submission. Dataset paper submissions must be between 2-10 pages long and will be part of the full proceedings. All papers must follow AAAI formatting guidelines. For submission guidelines, please refer to the guidelines. We also request that authors submit a small sample of the dataset (maximum of 10MB) to aid the reviewers. This should be submitted as supplementary material on the Precision Conference system.
Duncan Hodges, Dong Nguyen, Savvas Zannettou
(ICWSM-2021 Data Chairs | firstname.lastname@example.org)
The ICWSM-2021 Committee invites proposals for Workshops Day at the 15th International AAAI Conference on Weblogs and Social Media (ICWSM-2021). The Workshops Day will be held on June 7th, 2021. Workshop participants will have the opportunity to meet and discuss issues with a selected focus -- providing an informal setting for active exchange among researchers and developers from a wide range of disciplines, including social science and computer science. Workshops are an excellent forum for exploring emerging approaches and task areas, bridging gaps between the social sciences and computing, and elucidating results of exploratory research.
Members of all segments of the social media research community are encouraged to submit proposals. To foster interaction and exchange of ideas, the workshops will be kept small, with up to 40 participants.
The format of workshops will be determined by their organizers. The two main criteria for the selection of the workshops will be the following:
Workshop organizers who want to publish the papers from their workshop (or significant portions of it) will have the opportunity to do so through workshop proceedings by the AAAI Press. For a list of last year's workshops see here.
Proposals for workshops should be no more than five (5) pages in length (10pt, single column, with reasonable margins), written in English, and should contain the following:
Please email your proposal in a single file to the workshop chairs at email@example.com before the deadline. For additional information please contact the workshop chairs at the same address.
(All deadlines are on 23:59:59 Anywhere on Earth)
Oana Balalau, Katherine Ognyanova, and Daniel Romero
(ICWSM-2021 Workshop Chairs | firstname.lastname@example.org)
ICWSM-2021 invites proposals for Tutorials Day at the 15th International AAAI Conference on Web and Social Media (ICWSM). ICWSM-2021 is seeking proposals for tutorials on topics related to the analysis and understanding of social phenomena in the following themes:
We welcome tutorials of various lengths (including 45 minutes, 90 minutes, or a half day). We are looking for contributions from experts in both the social and computational sciences, in industry, academia, and beyond. For a list of tutorials from previous years, we encourage you to visit the tutorials page for 2018, 2019 and 2020.
The format will be entirely determined by the tutorial organizers—i.e., you! Proposals will be selected for inclusion considering the following criteria:
Proposals of tutorials presented at past events are allowed, although novelty is a plus.
Proposals for tutorials should be no more than three pages in length. Please try to use AAAI Author Kit to format your submission; the author kit is available at http://www.aaai.org/Publications/Templates/AuthorKit19.zip. However, using the AAAI Author Kit is not strictly required. Proposal submissions should include the following information:
Proposals should be submitted in PDF to the submission email (email@example.com). Pre-submission questions can be sent to the tutorials chairs (Jisun An, Sauvik Das and Shaomei Wu) at the same address (firstname.lastname@example.org).
(All deadlines are on 23:59:59 Anywhere on Earth)
Jisun An, Sauvik Das, and Shaomei Wu
(ICWSM-2021 Tutorial Chairs | email@example.com)
ICWSM-2021 is hosting its second data challenge to bring together researchers from across disciplines to solve societally-relevant problems together as a community. This will be enabled by fostering collaboration and exchange of ideas in a structured setting.
For more details, please visit the ICWSM-2021 Data Challenge Website.
Ghita Mezzour, Kai Shu, and Gianluca Stringhini
(ICWSM-2021 Data Challenge Chairs | firstname.lastname@example.org)
Format: Papers must be in high resolution PDF format, formatted for US Letter (8.5" x 11") paper, using Type 1 or TrueType fonts. Full papers are recommended to be 8 pages and must be at most 10 pages long, including references and any appendix. Revision papers and final camera-ready full papers can be up to 12 pages. Poster papers must be no longer than 4 pages, and demo descriptions must be no longer than 2 pages, and all must be submitted by the deadlines given above, and formatted in AAAI two-column, camera-ready style. No source files (Word or LaTeX) are required at the time of submission for review; only the PDF file is permitted. Finally, the copyright slug may be omitted in the initial submission phase and no copyright form is required until a paper is accepted for publication.
Anonymity: ICWSM-2021 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. References to authors' own prior relevant work should be included, but should not specify that this is the authors' own work. Citations to the author's own work should be anonymized, if possible, or can be added later to the final camera-ready version for publication. It is up to the authors' discretion how much to further modify the body of the paper to preserve anonymity. The requirement for anonymity does not extend outside of the review process, e.g. the authors can decide how widely to distribute their papers over the Internet before the program committee meeting. Even in cases where the author's identity is known to a reviewer, the double-blind process will serve as a symbolic reminder of the importance of evaluating the submitted work on its own merits without regard to authors' reputation. Note that 2-page demo submissions and the dataset paper submissions, and only these, are exempt from the anonymization requirement as they often contain system URLs or URLs to data sharing services.
Language: All submissions must be in English.
Revisions: Papers that were previously submitted to ICWSM and received a "Revise and Resubmit " decision should be accompanied by a copy of the previous reviews and an author response statement. The response statement may be in any format, but many reviewers appreciate a response that begins with an overall summary and then includes a table, with each row containing a reviewer comment in the left cell, and author's response in the right cell. The response cell may explain why no changes were made, or may describe changes and direct the reviewer to a particular page, section, or figure, where the revised content appears. At the discretion of the Senior PC member handling the paper, the revised version may be sent back to some or all of the original reviewers for comment and evaluation, and may also be sent to additional reviewers.
Researchers who wish to submit full papers without publication in the conference proceedings, may designate their submission as 'social sciences and sociophysics (not for publication)'. Submissions must adhere to the formatting and content guidelines above. They will be reviewed according to the same process and criteria as all other full paper submissions. While we will not accept previously published papers, papers submitted as social sciences and sociophysics (not for publication) may be under review concurrently at a journal. Papers accepted to this track will be full presentations, integrated with the conference, but will be published only as abstracts in the ICWSM conference proceedings.
Submissions originally designated as not for publication cannot be converted at the end to publication in the ICWSM conference proceedings, because that would provide a mechanism enabling simultaneous consideration of the same paper for publication in two venues. Researchers who do wish to publish their papers in the ICWSM proceedings should submit to the regular track. All submitted papers, whether targeted for publication or not, will be judged according to the same acceptance criteria.
ICWSM-2021 will not accept any paper that, at the time of submission, is under review for or has already been published or accepted for publication in a journal or conference. This restriction does not apply to submissions for non-archival workshops.
If duplicate submissions are identified during the review process then:
Authors will be contacted about how to register for the conference. General registration for this year’s virtual conference will open soon. Stay tuned!
All accepted papers and extended abstracts will be published in the conference proceedings, except for those submitted to the 'social sciences and sociophysics (not for publication)'; only abstracts will be published for those. Though initial submissions of full papers must not exceed ten (10) pages, full papers accepted for publication will be allocated up to twelve (12) pages in the conference proceedings to facilitate to address comments raised by the reviewers. Authors will be required to transfer copyright to AAAI.
ICWSM provides a service for hosting datasets pertaining to research presented at the conference. Authors of accepted papers will be encouraged to share the datasets on which their papers are based, while adhering to the terms and conditions of the data provider. Of these datasets, one will be selected for an award which will be based on the quality, scope, and timeliness of each dataset. More information will be available on our website.
This year, ICWSM will be a fully online virtual conference held between June 7-10, 2021. Whilst the conference was initially planned as a dual virtual/in person conference, given the current status of the pandemic we have decided that in order to ensure the safety of our attendees, switching to an online-only conference is the right choice.
A virtual conference also allows ICWSM-2021 to be more accessible, inclusive, and equitable for the computational social science community worldwide.
We appreciate your patience whilst our organizers work to finalize the details of the virtual conference and we will provide regular updates in due course.
ICWSM and AAAI are pleased to announce the availability of a number of scholarships to help support attendance of underrepresented groups and regions at ICWSM-2021. These scholarships were made possible through the engagement with, and kind contribution of, our sponsors. These ICWSM-2021 grants provide complimentary technical program registration for persons from groups and regions traditionally underrepresented at ICWSM and in the field of Computational Social Science research.
There are no conditions for accepting the grant. We only would ask that you attend the event and enjoy the sessions. We would, of course, also be happy if you decide to join our ICWSM and Computational Social Science community. If you would like to participate in any activities engagement before or during the conference, feel free to let us know this in your application.
To apply for this ICWSM-2021 Grant Program, please complete the online application at the link below no later than April 30, 2021.
Notifications will be sent by May 7, and complimentary registrations will be issued through AAAI.
Inquiries may be directed to email@example.com.
ICWSM-2021 Scholarship Application form: https://aaaiforms.wufoo.com/forms/wkmljyn0999ygr/
ICWSM and AAAI are pleased to announce the availability of a small fund to help support student attendance at ICWSM-2021. ICWSM-2021 student grants provide complimentary technical program registration for students who are full-time undergraduate or graduate students at colleges and universities; have an accepted paper in the conference program or are participating in another way (workshops, demos, engagement with the organising committee); and submit applications by April 23, 2021. In the event that applications exceed the number of available grant places, we will aim to have a reasonable balance between students who have an accepted technical paper and those who are actively participating in the conference in some way.
As part of the requirements for accepting a grant, students will be asked to assist ICWSM organizers before and during the conference for a few hours. This may involve helping to arrange or host activities, and support in the planning and execution of conference-related tasks.
To apply for the ICWSM-2021 Student Grant Program, please complete the online application at the link below no later than April 23, 2021. Notifications will be sent by April 27, and complimentary registrations will be issued through AAAI.
Inquiries may be directed to firstname.lastname@example.org.
ICWSM-2021 Student Volunteer Application form: https://aaaiforms.wufoo.com/forms/w18de92s1iuamko/
Online registration is available at https://aaaiconf.cventevents.com/icwsm21
The ICWSM-2021 technical conference registration fee includes admission to the Workshop/Tutorial Day, keynote addresses, technical sessions, poster sessions, and other virtual events.
** IMPORTANT NOTE: ICWSM is pleased to offer residents of South America and Africa a 50% discount on their registration fee. To request a discount code prior to registration, please write to email@example.com. Be sure to provide your full affiliation and address when requesting a discount.
Early registration: May 7, 2021
Late registration: May 28, 2021
Regular AAAI Member: Early, $150 | Late, $170
Student AAAI Member: Early, $75 | Late, $95
Nonmember: Early, $175 | Late, $195
Student Nonmember: Early, $100 | Late, $120
Includes discounted conference registration, plus a one-year online new or renewed membership in AAAI.
Regular Silver: Early, $249 | Late, $269
Student Silver: Early, $124 | Late, $144
Workshop Information: https://www.icwsm.org/2021/index.html#workshops_schedule
Tutorial Information: https://www.icwsm.org/2021/index.html#tutorials_schedule
ICWSM-21 workshops and tutorials will be held June 7, just prior to the technical conference. Technical registrants may sign up for any combination of workshops and/or tutorials on June 7 as part of their technical registration. For those wishing to attend only the Workshop/Tutorial Day, a Workshop/Tutorial Day Only registration is offered. PARTICIPANTS SHOULD NOT SIGN UP FOR CONCURRENT EVENTS, so please consult the schedule carefully before making your selections
Workshop/Tutorial Day Only Fee
To register online, please complete the form at (https://aaaiconf.cventevents.com/icwsm21). Students will be required to submit proof of student status during the registration process.
The deadline for refund requests is June 3, 2021. All refund requests must be made in writing to AAAI at firstname.lastname@example.org. A $50.00 processing fee will be assessed for all refunds.
Lia Bozarth, Ceren Budak
Diogo Pacheco, Pik-Mai Hui, Christopher Torres-Lugo, Bao Tran Truong, Alessandro Flammini, Filippo Menczer
Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth
Hyung Ju Hwang, Seungwon Jeong, Taehyun Kim, Hyomin Shin
David Wadden, Tal August, Qisheng Li, Tim Althoff
David Solans, Christopher Tauchmann, Karolin Kappler, Carlos Castillo, Hans-Hendrik Huber, Aideen Farrell, Kristian Kersting
Juhi Kulshrestha, Marcos Oliveira, Orkut Karaçalık, Denis Bonnay, Claudia Wagner
Hao Sha, Mohammad Al Hasan, George Mohler
William Theisen, Joel Brogan, Pamela Bilo Thomas, Daniel Moreira, Pascal Phoa, Tim Weninger, Walter Scheirer
Dominic Seyler, Shulong Tan, Dingcheng Li, Jingyuan Zhang, Ping Li
Michele Coscia, Michael Szell
Günce Su Yılmaz, Mainack Mondal, Fiona Gasaway, Blase Ur
Anna Guimarães, Gerhard Weikum
Allan Sales, Albin Zehe, Leandro Balby Marinho, Adriano Veloso, Andreas Hotho, Janna Omeliyanenko
Afra Mashhadi, Samantha G. Winder, Emilia H. Lia, Spencer A. Wood
Xavier Ferrer, Tom van Nuenen, Jose M. Such, Natalia Criado
Mattia Samory, Indira Sen, Julian Kohne, Fabian Flöck, Claudia Wagner
Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla
M. Janina Sarol, Ly Dinh, Jana Diesner
Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard Dragut
Manoel Horta Ribeiro, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Summer Long, Stephanie Greenberg, Savvas Zannettou
Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis
Ruibo Liu, Lili Wang, Chenyan Jia, Soroush Vosoughi
Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
Amila Silva, Pei-Chi Lo, Ee Peng Lim
Ammar Rashed, Mucahid Kutlu, Kareem Darwish, Tamer Elsayed, Cansın Bayrak
Kristen M. Altenburger, Johan Ugander
Stepan Zakharov, Omri Hadar, Tovit Hakak, Dina Grossman, Yifat Ben-David Kolikant, Oren Tsur
William Cai, Johan Ugander
Eyal Arviv, Simo Hanouna, Oren Tsur
Robert Netzorg, Lauren Arnett, Augustin Chaintreau, Eugene Wu
Zijian An, Kenneth Joseph
Sanja Šćepanović, Luca Maria Aiello, Ke Zhou, Sagar Joglekar, Daniele Quercia
Fengli Xu, Guozhen Zhang, Yuan Yuan, Hongjia Huang, Diyi Yang, Depeng Jin, Yong Li
Derek Lim, Austin R. Benson
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James Foulds, Yangqiu Song, Shimei Pan
Srijan Kumar, Chongyang Bai, Venkatramanan Siva Subrahmanian, Jure Leskovec
Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Eric Ragan, Shuiwang Ji, Xia Hu
Niklas Hopfgartner, Tiago Santos, Michael Auer, Mark Griffiths, Denis Helic
Kiran Garimella, Tim Smith, Rebecca Weiss, Robert West
Seunghyun Kim, Afsaneh Razi, Gianluca Stringhini, Pamela J. Wisniewski, Munmun De Choudhury
Ayan Kumar Bhowmick, Soumajit Pramanik, Sayan Pathak, Bivas Mitra
Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng
Manoel Horta Ribeiro, Kristina Gligorić, Maxime Peyrard, Florian Lemmerich, Markus Strohmaier, Robert West
Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte
Siqi Wu, Paul Resnick
Orestis Papakyriakopoulos, Ethan Zuckerman
Maxwell Weinzierl, Suellen Hopfer, Sanda M. Harabagiu
Jason Shuo Zhang, Brian Keegan, Qin Lv, Chenhao Tan
Galen Weld, Maria Glenski, Tim Althoff
Navid Rekabsaz, Robert West, James Henderson, Allan Hanbury
Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos
Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal, Sangeeta Mahapatra, Shounak Set, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis
Ashwin Rajadesingan, Ceren Budak, Paul Resnick
Yuping Wang, Fatemeh Tahmasbi, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, David Magerman, Savvas Zannettou, Gianluca Stringhini
Alice Wang, Aasish Pappu, Henriette Cramer
Isaac Johnson, Florian Lemmerich, Diego Sáez-Trumper, Robert West, Markus Strohmaier, Leila Zia
Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti, Stefano Cresci, Maurizio Tesconi
TaeYoung Kang, Jaeung Sim
Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, Wei Wang
Ayan Sengupta, William Scott Paka, Suman Roy, Gaurav Ranjan, Tanmoy Chakraborty
Ramit Sawhney, Harshit Joshi, Alicia Nobles, Rajiv Ratn Shah
Genki Kusano, Masafumi Oyamada
Jakapun Tachaiya, Joobin Gharibshah, Kevin E. Esterling, Michalis Faloutsos
Minje Choi, Ceren Budak, Daniel M. Romero, David Jurgens
Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos
Qi Yang, Weinan Wang, Lucas Pierce, Rajan Vaish, Xiaolin Shi, Neil Shah
Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty
Joshua Uyheng, Kathleen M. Carley
Shishir Adhikari, Akshay Uppal, Robin Mermelstein, Tanya Berger-Wolf, Elena Zheleva
Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov
Tunazzina Islam, Dan Goldwasser
Veniamin Veselovsky, Isaac Waller, Ashton Anderson
Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova
Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
Ethan Haworth, Ted Grover, Justin Langston, Ankush Patel, Joseph West, Alex C. Williams
Kiran Garimella, Robert West
Ting-Wei Hsu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
Amar Budhiraja, Ankur Sharma, Rahul Agrawal, Monojit Choudhury, Joyojeet Pal
Salvatore Giorgi, Sharath Chandra Guntuku, Johannes C. Eichstaedt, Claire Pajot, H. Andrew Schwartz, Lyle H. Ungar
Anton Abilov, Yiqing Hua, Hana Matatov, Ofra Amir, Mor Naaman
Rodolfo Vieira Valentim, Giovanni Comarela, Souneil Park, Diego Sáez-Trumper
Anushree Gupta, Denny George, Kruttika Nadig, Tarunima Prabhakar
Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov
Manoel Horta Ribeiro, Robert West
Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli
Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer
Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli
Hridoy Sankar Dutta, Udit Arora, Tanmoy Chakraborty
Matthew R. DeVerna, Francesco Pierri, Bao Tran Truong, John Bollenbacher, David Axelrod, Niklas Loynes, Christopher Torres-Lugo, Kai-Cheng Yang, Filippo Menczer, John Bryden
Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, Andrè Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet
Ceren Budak, Ashley Muddiman, Yujin Kim, Caroline C. Murray, Natalie J. Stroud
Keith Cortis, Brian Davis
Blyth Crawford, Florence Keen, Guillermo Suarez-Tangil
Hal Roberts, Rahul Bhargava, Linas Valiukas, Dennis Jen, Momin M. Malik, Cindy Sherman Bishop, Emily B. Ndulue, Aashka Dave, Justin Clark, Bruce Etling, Robert Faris, Anushka Shah, Jasmin Rubinovitz, Alexis Hope, Catherine D'Ignazio, Fernando Bermejo, Yochai Benkler, Ethan Zuckerman
Max Aliapoulios, Emmi Bevensee, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou
Junjie Huang, Huawei Shen, Xueqi Cheng
Elaheh Momeni, Constantin Fraenkel, Patrick Kiss, Andreas Burgmann
Sanjaya Wijeratne, Jennifer Lee, Horacio Saggion, and Amit Sheth
Ugur Kursuncu, Yelena Mejova, Megan Squire, Jeremy Blackburn, and Amit Sheth
Indira Sen, Katrin Weller, and Fabian Floeck
Kathleen McKeown, Tarek Abdelzaher, Adriana Iamnitchi, and George Mohler
Yelena Mejova, Kyriaki Kalimeri, Daniela Paolotti, Rumi Chunara
Maurice Jakesch, Manon Revel, and Ziv Epstein
Panayiotis Smeros, Jeremie Rappaz, Marya Bazzi, Elena Kochkina, Maria Liakata, and Karl Aberer
Ebrahim Bagheri, Diana Inkpen, Christopher C. Yang, and Fattane Zarrinkalam
Social media sites such as Twitter and Facebook have connected billions of people and given the opportunity to the users to share their ideas and opinions instantly. That being said, there are several ill consequences as well such as online harassment, trolling, cyber-bullying, fake news, and hate speech. Out of these, hate speech presents a unique challenge as it is deep engraved into our society and is often linked with offline violence. Social media platforms rely on local moderators to identify hate speech and take necessary action, but with a prolific increase in such content over social media many are turning toward automated hate speech detection and mitigation systems. This shift brings several challenges on the plate, and hence, is an important avenue to explore for the computation social science community.
In this translation style tutorial, we present an exposition of hate speech detection and mitigation in three steps. First, we shall describe the current state of research in the hate speech domain, focusing on different detection and mitigation systems that have developed over time. Next, we shall highlight the challenges that these systems might carry like bias and lack of transparency. The final section will concretize the path ahead, providing clear guidelines for the community working on hate speech and related areas. We shall outline the open challenges and research directions for interested researchers.
Here, we plan to cover the following topics, i) How is hate speech affecting different platforms? ii) Existing dataset, iii) Text-based hate speech systems, iv) User-based hate speech systems, v) How we can mitigate or slow down the process of spread of hate speech, vi) What are the challenges still present in the domain, e.g.: Explainability and bias, Multimodal and multilingual challenges etc, in the tutorial.
For more details, please visit the tutorial website here.
Punyajoy Saha is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interests lie in the nexus of social computing and natural language processing. He is currently involved in developing mitigation algorithms for hate speech in social media. His works are published at major conferences like The Web Conference, AAAI, ECML-PKDD and ICWSM. More details here.
Binny Mathew is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in computational social science and natural language processing. He is currently interested in solving issues surrounding hate speech in online social media and providing solutions to counter them. His works are published in leading conferences such as The Web Conference, ICWSM, ECML-PKDD, and WebSci. More details here.
Mithun Das is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interests lie in computational social science and natural language processing. More details here.
Pawan Goyal is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in natural language processing and text mining. More details here.
Kiran Garimella is the first IDSS postdoctoral fellow to receive a Hammer Fellowship, pioneers research into the spread of rumours and misinformation on closed platforms such as WhatsApp, a popular encrypted messaging service with millions of users worldwide. Kiran aims to develop technical solutions to such problems by building tools that can collect and analyze massive social media datasets. More details here.
Animesh Mukherjee is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). His research interest lies in natural language processing, information retrieval and AI and ethics. More details here.
This tutorial bridges social media research methods with concepts in ethics and privacy. Researchers studying the web and social media find themselves immersed in a domain where data flows freely and is often considered “public,” but that data is also potentially bound by contextual norms and expectations. While many research communities have engaged with the ethics of data collection, sharing, and retention practices, these debates are often less-visible to parts of the data and computational social science communities. In this tutorial, we will engage the concept of contextual integrity to provide space for the community to discuss how ethical risks emerge when engaging with “public” data, and offer practical methods for addressing this risk. This tutorial will bridge ongoing conversations in research ethics about practices of data collection and retention with emerging practices of data and computational social science researchers. Participants will gain practical methods for identifying, tracking, and mitigating ethical harms related to the collection and use of “public” data in web and social media research.
Casey Fiesler is an assistant professor in Information Science at University of Colorado Boulder, where she researches largely in the areas of technology ethics and governance, particularly in the context of social computing.
Katharina Kinder-Kurlanda is Professor of Human Sciences of the Digital at the Digital Age Research Center (D!ARC) at the Alpen-Adria-Universität Klagenfurt in Austria. Her research interests are emerging epistemological concepts for social media and big data; data ethics; privacy, data protection & security; algorithms; casual games; and the Internet of Things.
Jacob Metcalf is a researcher at Data & Society. He studies how data ethics practices are emerging in environments that have not previously grappled with research ethics, such as industry, IRBs, and civil society organizations.
Emmanuel Moss is a researcher with Data & Society and a doctoral candidate in cultural anthropology at the CUNY Graduate Center. He conducts ethnographic research on issues of fairness and accountability in AI systems.
Katie Shilton is an associate professor in Information Studies at University of Maryland. Her research focuses on ethics and policy for the design of information technologies, systems, and collections.
Michael Zimmer is an associate professor in Computer Science at Marquette University. He is a privacy and data ethics scholar whose work focuses on digital privacy and surveillance, internet research ethics, and the broader social & ethical dimensions of emerging technologies.
In today's data-driven world, organizations derive insights from massive amounts of data through large scale statistical machine learning models. However, statistical techniques can be easy to fool with adversarial instances (a neural network can predict a non-extremist as an extremist by mere presence of the word Jihad), which raises question in Data Quality. In high stakes decision making problems, such as cyber social threats, it is highly sensitive to classify a non-extremist as an extremist and vice-versa. Data quality is good if the data possesses adequate domain coverage and the labels contain adequate semantics. For example, is the semantics of an extremist vs. non-extremist vis-a-vis the word Jihad captured in the label (adequate semantics in labels)? Also, are there enough non-extremists with the word Jihad in the training data from the perspective of religion, hate, or ideology? Thus semantic annotation of the data, beyond mere labels attached to data instances, can significantly improve the robustness of model outcomes and ensure that the model has learned from trustworthy, knowledge-guided data standards. It is important to note that the knowledge-guided standards help de-bias the data if specified correctly (contextualized de-biasing extremist behavior data from bias towards the word Jihad). Therefore, in addition to trust in the robustness of outcomes, knowledge guided data creation also enables fair and ethical practices during real-world deployment of machine learning in high stakes decision making. We denote such data as Explainable Data. In this tutorial of type course and case-studies, we detail how to construct Explainable Data using various expert resources and knowledge graphs. All the materials (resources and implementations) presented during the tutorial will be made available on: KIWO-ICWSM, a week before the tutorial. We plan a 90 minute tutorial (Intermediate Level) with 2 breaks (5 mins each).
For more details, please visit the tutorial website here.
Prof. Amit Sheth is an Educator, Researcher, and Entrepreneur. He is the founding director of the university-wide Artificial Intelligence Institute at the University of South Carolina (#AIISC). Previously , he was the LexisNexis Ohio Eminent Scholar and the executive director of Ohio Center of Excellence in Knowledge-enabled Computing. He is a Fellow of IEEE, AAAI, and AAAS. He has organized 75+ international events (general/program chair, organization committee chair), 65+ keynotes, given many well-attended tutorials and is among the well-cited computer scientists. He has founded three companies by licensing his university research outcomes, including the first Semantic Web company in 1999 that pioneered technology similar to what is found today in Google Semantic Search and Knowledge Graph. Several commercial products and deployed systems have resulted from his research.
Kaushik Roy is a Ph.D. student at AIISC. He completed his master's in computer science at Indiana University Bloomington and has worked at UT Dallas’s starling lab. His research interests include statistical relational artificial intelligence, sequential decision making, knowledge graphs, and reinforcement Learning. His work is published in reputed conferences in IEEE, KR, AAAI.
Manas Gaur is currently a Ph.D. Student in Artificial Intelligence Institute at the University of South Carolina. He has been Data Science and AI for Social Good Fellow with the University of Chicago and Dataminr Inc. His interdisciplinary research funded by NIH and NSF operationalizes the use of Knowledge Graphs, Natural Language Understanding, and Machine Learning to solve social good problems in the domain of Mental Health, Cyber Social Harms, and Crisis Response. His work has appeared in premier AI and Data Science conferences (CIKM, WWW, AAAI, CSCW), journals in science (PLOS One, Springer-Nature, IEEE Internet Computing), and healthcare-specific meetings (NIMH MHSR, AMIA).
Usha Lokala is a Ph.D. student at AIISC. Her research interests include ontology engineering, knowledge graphs and natural language processing. Her work has been published in reputed conferences and Journals (IEEE, Drug and Alcohol Dependence, WWW, CPDD). Her work on public health addictions won second prize in Opioid Challenge at SBP BRiMS 2018, a computational social science conference.
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