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.
Disciplines
Computational approaches to social media research including:Topics Include (But Not Limited To)
Example Data Sources (Web and Social Media)
Call For Submissions
Full Papers
Submission deadlines before ICWSM-2021:1st Full-paper Deadline: May 15, 2020 (by 23:59 PM Anywhere on Earth) (New submissions, and R&Rs from Jan 2020 submissions) [Notifications: July 15, 2020]2nd Full-paper Deadline: September 15, 2020 (by 23:59 PM Anywhere on Earth) (New submissions, and R&Rs from Jan & May 2020 submissions) [Notifications: Nov 15, 2020]3rd Full-paper Deadline: January 15, 2021 (by 23:59 PM Anywhere on Earth) (New submissions, and R&Rs from Sep 2020 submissions) [Notifications: Mar 15, 2021]
Submission deadlines before ICWSM-2022:
- 1st Full-paper Deadline: May 15, 2021 (by 23:59 PM Anywhere on Earth) (New submissions, and R&Rs from Jan 2021 submissions) [Notifications: July 15, 2021]
- 2nd Full-paper Deadline: September 15, 2021 (by 23:59 PM Anywhere on Earth) (New submissions, and R&Rs from May 2021 submissions) [Notifications: Nov 15, 2021]
- 3rd Full-paper Deadline: January 15, 2022 (by 23:59 PM Anywhere on Earth) (New submissions, and R&Rs from Sep 2021 submissions) [Notifications: Mar 15, 2022]
Submission Information:
Full Paper Submission Site
Society: AAAI. Conference/Journal: ICWSM 21. Track: ICWSM 21 Jan Submissions.
The 2021 reviewing process will be similar to that of the 2020 process. Papers to be considered for publication in the ICWSM proceedings, and presentation at the ICWSM-2021 conference, must be submitted by one of the three submission deadlines listed above. Authors who receive the "Accept" recommendation will have the opportunity to respond to reviewer suggestions by making minor edits when preparing the camera-ready version. Authors who receive the "Revise and Resubmit" recommendation will have the opportunity to address reviewer suggestions and resubmit an improved manuscript in the next submission deadline. Authors who receive "Revise and Resubmit" in January 2021 will likely be presenting during the 2022 conference if their papers get accepted during the next submission round. Papers accepted to this track will be presented as full-length presentations at the ICWSM-2021 conference, and they will be published as journal articles in the ICWSM proceedings. For the full submission guidelines, please see here.
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 | pc.chairs@icwsm.org)
Posters and Demos
- Poster and Demos Abstract Submission: Not required.
Posters and Demos Paper Submission Deadline: January 15, 2021 (by 23:59 Anywhere on Earth)
Submission Information:
Posters, Demos, and Datasets Site
Society: AAAI. Conference/Journal: ICWSM 21. Track: ICWSM 21 Posters, Demos, and Datasets.
Poster/Demo Format:
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.
The reviewing process for posters and demos will follow the same pattern as in previous years. Submissions will either be accepted or rejected. Authors of accepted submissions will have the opportunity to respond to reviewer suggestions by making minor edits when preparing the camera-ready version. Poster and demo papers will not have a revise and resubmit phase. For submission guidelines, please refer to the guidelines.
Ella Haig, Kenny Joseph, and Afra Mashhadi
(ICWSM-2021 PC Chairs | pc.chairs@icwsm.org)
Datasets
- Dataset Abstract Submission: Not required.
Dataset Paper Submission Deadline: January 15, 2021 (by 23:59 Anywhere on Earth)
Submission Information:
Posters, Demos, and Datasets Site
Society: AAAI. Conference/Journal: ICWSM 21. Track: ICWSM 21 Posters, Demos, and Datasets.
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 | datasets@icwsm.org)
Workshops
Workshop Submission Deadline: January 22, 2021 (by 23:59 Anywhere on Earth)- Submission Email: workshops@icwsm.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.
Workshop proposal content
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 workshops@icwsm.org before the deadline. For additional information please contact the workshop chairs at the same address.
Important Dates
(All deadlines are on 23:59:59 Anywhere on Earth)
- Workshop proposal submission deadline: January 22, 2021
- Workshop acceptance notification: January 30, 2021
- Workshop papers submission: March 27, 2021
- Workshop paper acceptance notification: April 10, 2021
- Workshop final camera-ready paper due: April 17, 2021
- ICWSM-2021 Workshops Day: June 7, 2021
Oana Balalau, Katherine Ognyanova, and Daniel Romero
(ICWSM-2021 Workshop Chairs | workshops@icwsm.org)
Tutorials
Tutorial Submission Deadline: January 22nd, 2021 (by 23:59 PM Anywhere on Earth)- Submission Email: tutorials@icwsm.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.
Acceptance criteria
The format will be entirely determined by the tutorial organizers—i.e., you! Proposals will be selected for inclusion considering the following criteria:
- Cross-pollination potential. Tutorials that attract an interdisciplinary audience will be given preference. The proposals should highlight, when applicable, the tutorial potential to transfer knowledge from one discipline/area to another.
- Interactivity. We will favor tutorials that aim to include hands-on experiences, collaborative approaches, and interactivity.
Proposals of tutorials presented at past events are allowed, although novelty is a plus.
Tutorial proposal content and format
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:
- Tutorial title, type, and summary. A short description (200 words) of the main objective of the tutorial to be published on the main ICWSM website. Please indicate the type of tutorial you are proposing: course, translation, or case study.
- Names, affiliations, emails, and personal websites of the tutorial organizers. A main contact author should be specified. A typical proposal should include no more than three presenters (more people can be involved in the organization).
- Duration. A short timeline description of how you plan to break down the material over 45 mins, 90 mins, or half-day. Please mention here the proposed duration, but keep in mind that the Tutorial Chairs might conditionally accept a proposal and suggest a different duration to best fit the organization of the whole event.
- Tutorial schedule and activities. A description of the proposed tutorial format, a schedule of the proposed activities (e.g., presentations, interactive sessions) along with a *detailed* description for each of them.
- Target audience, prerequisites and outcomes. A description of the target audience, the prerequisite skill set for the attendee (if any) as well as a brief list of goals for the tutors to accomplish by the end of the tutorial.
- Materials. The organizers of accepted tutorials will be required to set up a web page containing all the information for the tutorial attendees before the tutorial day (roughly 2 weeks before the tutorial day). The proposal should contain the list of materials that will be made available on the website.
- Precedent [when available]: A list of other tutorials held previously at related conferences, if any, together with a brief statement on how it follows-up on previous events. If the authors of the proposal have organized other tutorials in the past, pointers to the relevant material (e.g., slides, videos, web pages, code) should be provided.
Proposals should be submitted in PDF to the submission email (tutorials@icwsm.org). Pre-submission questions can be sent to the tutorials chairs (Jisun An, Sauvik Das and Shaomei Wu) at the same address (tutorials@icwsm.org).
Important Dates
(All deadlines are on 23:59:59 Anywhere on Earth)
- Tutorial proposal submission deadline: January 22, 2021
- Tutorial acceptance notification: February 12, 2021
- ICWSM-2021 Tutorial Day: June 7, 2021
Jisun An, Sauvik Das, and Shaomei Wu
(ICWSM-2021 Tutorial Chairs | tutorials@icwsm.org)
Data Challenge
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.
Important Dates
- Data Challenge opens: Feb 22nd, 2021
- Paper Submission Deadline: May 14th, 2021
- Data Challenge notification: May 24th, 2021
- ICWSM Data Challenge Full day Workshop: June 7th, 2021
Ghita Mezzour, Kai Shu, and Gianluca Stringhini
(ICWSM-2021 Data Challenge Chairs | data.challenge@icwsm.org)
Detailed Guidelines for Paper Submission
Content Guidelines
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.
Optional publication for social sciences and sociophysics papers
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.
Duplicate Submission
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:
Conference Registration
Authors will be contacted about how to register for the conference. General registration for this year’s virtual conference will open soon. Stay tuned!
Publication
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.
Datasets
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.
Attending ICWSM-2021
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.
Scholarships & Grants
ICWSM Scholarships for Underrepresented Groups Program
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 icwsm21vol@aaai.org.
ICWSM-2021 Scholarship Application form: https://aaaiforms.wufoo.com/forms/wkmljyn0999ygr/
ICWSM Student Volunteer Program
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 icwsm21vol@aaai.org.
ICWSM-2021 Student Volunteer Application form: https://aaaiforms.wufoo.com/forms/w18de92s1iuamko/
Registration
ICWSM-2021 Registration Information
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.
ICWSM-2021 Registration Fees
** 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 icwsm21@aaai.org. Be sure to provide your full affiliation and address when requesting a discount.
Registration Deadlines
Early registration: May 7, 2021
Late registration: May 28, 2021
Registration Fees
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
Silver Registration
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
ICWSM-2021 Workshop/Tutorial Day
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
Regular: $45
Student: $25
Registration / Proof of Student Status
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.
Refund Requests
The deadline for refund requests is June 3, 2021. All refund requests must be made in writing to AAAI at icwsm21@aaai.org. A $50.00 processing fee will be assessed for all refunds.
Accepted Papers
Full Papers:
Market Forces: Quantifying the Role of Top Credible Ad Servers in the Fake News Ecosystem
Lia Bozarth, Ceren Budak
Uncovering Coordinated Networks on Social Media: Methods and Case Studies
Diogo Pacheco, Pik-Mai Hui, Christopher Torres-Lugo, Bao Tran Truong, Alessandro Flammini, Filippo Menczer
Context-Based Quotation Recommendation
Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth
Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques
Hyung Ju Hwang, Seungwon Jeong, Taehyun Kim, Hyomin Shin
The Effect of Moderation on Online Mental Health Conversations
David Wadden, Tal August, Qisheng Li, Tim Althoff
Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention
David Solans, Christopher Tauchmann, Karolin Kappler, Carlos Castillo, Hans-Hendrik Huber, Aideen Farrell, Kristian Kersting
Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data
Juhi Kulshrestha, Marcos Oliveira, Orkut Karaçalık, Denis Bonnay, Claudia Wagner
Group Link Prediction Using Conditional Variational Autoencoder
Hao Sha, Mohammad Al Hasan, George Mohler
Automatic Discovery of Political Meme Genres with Diverse Appearances
William Theisen, Joel Brogan, Pamela Bilo Thomas, Daniel Moreira, Pascal Phoa, Tim Weninger, Walter Scheirer
Textual Analysis and Timely Detection of Suspended Social Media Accounts
Dominic Seyler, Shulong Tan, Dingcheng Li, Jingyuan Zhang, Ping Li
Multilayer Graph Association Rules for Link Prediction
Michele Coscia, Michael Szell
Perceptions of Retrospective Edits, Changes, and Deletion on Social Media
Günce Su Yılmaz, Mainack Mondal, Fiona Gasaway, Blase Ur
X-Posts Explained: Analyzing and Predicting Controversial Contributions in Thematically Diverse Reddit Forums
Anna Guimarães, Gerhard Weikum
Assessing Media Bias in Cross-Linguistic and Cross-National Populations
Allan Sales, Albin Zehe, Leandro Balby Marinho, Adriano Veloso, Andreas Hotho, Janna Omeliyanenko
No Walk in the Park: The Viability and Fairness of Social Media Analysis for Parks and Recreational Policy Making
Afra Mashhadi, Samantha G. Winder, Emilia H. Lia, Spencer A. Wood
Discovering and Categorising Language Biases in Reddit
Xavier Ferrer, Tom van Nuenen, Jose M. Such, Natalia Criado
"Call me sexist, but..." : Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
Mattia Samory, Indira Sen, Julian Kohne, Fabian Flöck, Claudia Wagner
How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User Engagement
Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla
Information Biases in Situational Awareness of Crisis Events due to Data, Method, and Implementation Choices for Text Mining
M. Janina Sarol, Ly Dinh, Jana Diesner
Cannot Predict Comment Volume of a News Article before (a few) Users Read It
Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard Dragut
The Evolution of the Manosphere across the Web
Manoel Horta Ribeiro, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Summer Long, Stephanie Greenberg, Savvas Zannettou
Identifying Misinformation from Website Screenshots
Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis
Political Depolarization of News Articles Using Attribute-Aware Word Embeddings
Ruibo Liu, Lili Wang, Chenyan Jia, Soroush Vosoughi
MILE: A Multi-Level Framework for Scalable Graph Embedding
Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation
Amila Silva, Pei-Chi Lo, Ee Peng Lim
Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey
Ammar Rashed, Mucahid Kutlu, Kareem Darwish, Tamer Elsayed, Cansın Bayrak
Which Node Attribute Prediction Task Are We Solving? Within-Network, Across-Network, or Across-Layer Tasks
Kristen M. Altenburger, Johan Ugander
Discourse Parsing for Contentious, Non-Convergent Online Discussions
Stepan Zakharov, Omri Hadar, Tovit Hakak, Dina Grossman, Yifat Ben-David Kolikant, Oren Tsur
Experience-Driven Peer Effects: Evidence from a Large Natural Experiment
William Cai, Johan Ugander
It's a Thin Line Between Love and Hate: Using the Echo in Modeling Dynamics of Racist Online Communities
Eyal Arviv, Simo Hanouna, Oren Tsur
PopFactor: Live-Streamer Behavior and Popularity
Robert Netzorg, Lauren Arnett, Augustin Chaintreau, Eugene Wu
An Analysis of Replies to Trump's Tweets
Zijian An, Kenneth Joseph
The Healthy States of America: Creating a Health Taxonomy with Social Media
Sanja Šćepanović, Luca Maria Aiello, Ke Zhou, Sagar Joglekar, Daniele Quercia
Understanding the Invitation Acceptance in Agent-initiated Social E-commerce
Fengli Xu, Guozhen Zhang, Yuan Yuan, Hongjia Huang, Diyi Yang, Depeng Jin, Yong Li
Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform
Derek Lim, Austin R. Benson
Fair Representation Learning for Heterogeneous Information Networks
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James Foulds, Yangqiu Song, Shimei Pan
Deception Prediction in Dynamic Face-To-Face Interaction Networks
Srijan Kumar, Chongyang Bai, Venkatramanan Siva Subrahmanian, Jure Leskovec
Machine Learning Explanations to Prevent Overtrust in Fake News Detection
Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Eric Ragan, Shuiwang Ji, Xia Hu
Social Facilitation Among Gamblers: A Large-Scale Study Using Account-Based Data
Niklas Hopfgartner, Tiago Santos, Michael Auer, Mark Griffiths, Denis Helic
Political Polarization in Online News Consumption
Kiran Garimella, Tim Smith, Rebecca Weiss, Robert West
You Don't Know How I Feel: Insider-Outsider Perspective Gaps in Cyberbullying Risk Detection
Seunghyun Kim, Afsaneh Razi, Gianluca Stringhini, Pamela J. Wisniewski, Munmun De Choudhury
On the Role of Micro-categories to Characterize Event Popularity in Meetup
Ayan Kumar Bhowmick, Soumajit Pramanik, Sayan Pathak, Bivas Mitra
How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising
Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng
Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis
Manoel Horta Ribeiro, Kristina Gligorić, Maxime Peyrard, Florian Lemmerich, Markus Strohmaier, Robert West
Modeling Collective Anticipation and Response on Wikipedia
Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte
Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives
Siqi Wu, Paul Resnick
The Media During the Rise of Trump: Identity Politics, Immigration, "Mexican" Demonization and Hate-Crime
Orestis Papakyriakopoulos, Ethan Zuckerman
Misinformation Adoption or Rejection in the Era of COVID-19
Maxwell Weinzierl, Suellen Hopfer, Sanda M. Harabagiu
Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic
Jason Shuo Zhang, Brian Keegan, Qin Lv, Chenhao Tan
Political Bias and Factualness in News Sharing across more than 100,000 Online Communities
Galen Weld, Maria Glenski, Tim Althoff
Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence
Navid Rekabsaz, Robert West, James Henderson, Allan Hanbury
"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twitter
Savvas Zannettou
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms
Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos
Under the Spotlight: Web Tracking in Indian Partisan News Websites
Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal, Sangeeta Mahapatra, Shounak Set, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis
Political Discussion is Abundant in Non-political Subreddits (and Less Toxic)
Ashwin Rajadesingan, Ceren Budak, Paul Resnick
Understanding the Use of Fauxtography on Social Media
Yuping Wang, Fatemeh Tahmasbi, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, David Magerman, Savvas Zannettou, Gianluca Stringhini
Representation of music creators on Wikipedia, differences in gender and genre
Alice Wang, Aasish Pappu, Henriette Cramer
Global Gender Differences in Wikipedia Readership
Isaac Johnson, Florian Lemmerich, Diego Sáez-Trumper, Robert West, Markus Strohmaier, Leila Zia
Coordinated Behavior on Social Media in 2019 UK General Election
Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti, Stefano Cresci, Maurizio Tesconi
Partisan Responses to Fact-Checking in Online News Platforms: Evidence from a Political Rumor about the North Korean Leader
TaeYoung Kang, Jaeung Sim
Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning
Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, Wei Wang
An Embedding-based Joint Sentiment-Topic Model for Short Texts
Ayan Sengupta, William Scott Paka, Suman Roy, Gaurav Ranjan, Tanmoy Chakraborty
Towards Emotion- and Time-Aware Classification of Tweets to Assist Human Moderation for Suicide Prevention
Ramit Sawhney, Harshit Joshi, Alicia Nobles, Rajiv Ratn Shah
User Identity Linkage for Different Behavioral Patterns across Domains
Genki Kusano, Masafumi Oyamada
RAFFMAN: Measuring and analyzing sentiment in online political forum discussions, with an application to the Trump impeachment
Jakapun Tachaiya, Joobin Gharibshah, Kevin E. Esterling, Michalis Faloutsos
More than meets the tie: Examining the Role of Interpersonal Relationships in Social Networks
Minje Choi, Ceren Budak, Daniel M. Romero, David Jurgens
RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns from Multi-modal Data
Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos
On Positive Moderation Decisions
Mattia Samory
Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat
Qi Yang, Weinan Wang, Lucas Pierce, Rajan Vaish, Xiaolin Shi, Neil Shah
Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis
Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty
Computational Analysis of Bot Activity in the Asia-Pacific: A Comparative Study of Four National Elections
Joshua Uyheng, Kathleen M. Carley
Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions
Shishir Adhikari, Akshay Uppal, Robin Mermelstein, Tanya Berger-Wolf, Elena Zheleva
Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia
Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov
Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model
Tunazzina Islam, Dan Goldwasser
Imagine All the People: Characterizing Social Music Sharing on Reddit
Veniamin Veselovsky, Isaac Waller, Ashton Anderson
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection
Vinodkumar Prabhakaran, Marek Rei, Ekaterina Shutova
Posters:
Studying Moral-based Differences in the Framing of Political Tweets
Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
Classifying Reasonability in Retellings of Personal Events Shared on Social Media: A Preliminary Case Study with /r/AmITheAsshole
Ethan Haworth, Ted Grover, Justin Langston, Ankush Patel, Joseph West, Alex C. Williams
Evolution of Retweet Rates in Twitter User Careers: Analysis and Model
Kiran Garimella, Robert West
Risk-aware Regularization for Opinion-based Portfolio Selection
Ting-Wei Hsu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
A Research Agenda for Financial Opinion Mining
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
American politicians diverge systematically, Indian politicians diverge chaotically: Text embeddings as a window into party polarization
Amar Budhiraja, Ankur Sharma, Rahul Agrawal, Monojit Choudhury, Joyojeet Pal
Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy
Salvatore Giorgi, Sharath Chandra Guntuku, Johannes C. Eichstaedt, Claire Pajot, H. Andrew Schwartz, Lyle H. Ungar
Datasets:
VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter
Anton Abilov, Yiqing Hua, Hana Matatov, Ofra Amir, Mor Naaman
Tracking Knowledge Propagation Across Wikipedia Languages
Rodolfo Vieira Valentim, Giovanni Comarela, Souneil Park, Diego Sáez-Trumper
Check Mate: Prioritizing User Generated Multi-Media Content for Fact-Checking
Anushree Gupta, Denny George, Kruttika Nadig, Tarunima Prabhakar
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov
YouNiverse: Large-Scale Channel and Video Metadata from English-Speaking YouTube
Manoel Horta Ribeiro, Robert West
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing
Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli
A Dataset of State-Censored Tweets
Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli
ABOME: A Multi-platform Data Repository of Artificially Boosted Online Media Entities
Hridoy Sankar Dutta, Udit Arora, Tanmoy Chakraborty
CoVaxxy: A Collection of English-Language Twitter Posts About COVID-19 Vaccines
Matthew R. DeVerna, Francesco Pierri, Bao Tran Truong, John Bollenbacher, David Axelrod, Niklas Loynes, Christopher Torres-Lugo, Kai-Cheng Yang, Filippo Menczer, John Bryden
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing
Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, Andrè Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet
COVID-19 Coverage By Cable and Broadcast Networks
Ceren Budak, Ashley Muddiman, Yujin Kim, Caroline C. Murray, Natalie J. Stroud
A Dataset of Multidimensional and Multilingual Social Opinions for Malta's Annual Government Budget
Keith Cortis, Brian Davis
Memes, Radicalisation, and the Promotion of Violence on Chan Sites
Blyth Crawford, Florence Keen, Guillermo Suarez-Tangil
Media Cloud: Massive Open Source Collection of Global News on the Open Web
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
A Large Open Dataset from the Parler Social Network
Max Aliapoulios, Emmi Bevensee, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou
Demos:
SIGNLENS: A Tool for Analyzing People's Polarization Social Relationship Based on Signed Graph Modeling
Junjie Huang, Huawei Shen, Xueqi Cheng
ESG Tracker: Unbiased and Explainable ESG Profile from Real-time Data
Elaheh Momeni, Constantin Fraenkel, Patrick Kiss, Andreas Burgmann
Workshops Schedule
Full-Day Workshops:
Emoji 2021: International Workshop on Emoji Understanding and Applications in Social Media
Sanjaya Wijeratne, Jennifer Lee, Horacio Saggion, and Amit Sheth
International Workshop on Cyber Social Threats (CySoc 2021)
Ugur Kursuncu, Yelena Mejova, Megan Squire, Jeremy Blackburn, and Amit Sheth
Participatory Development of Quality Guidelines for Social Media Research: A Structured, Hands-on Design Workshop
Indira Sen, Katrin Weller, and Fabian Floeck
International Workshop on Social Sensing (SocialSens 2021): Special Edition on Information Operations on Social Media
Kathleen McKeown, Tarek Abdelzaher, Adriana Iamnitchi, and George Mohler
Half-Day Workshops
Data for the Wellbeing of Most Vulnerable
Yelena Mejova, Kyriaki Kalimeri, Daniela Paolotti, Rumi Chunara
Information Credibility and Alternative Realities in Troubled Democracies
Maurice Jakesch, Manon Revel, and Ziv Epstein
Mediate 2021: News Media and Computational Journalism
Panayiotis Smeros, Jeremie Rappaz, Marya Bazzi, Elena Kochkina, Maria Liakata, and Karl Aberer
Mining Actionable Insights from Social Networks: Special Edition on Healthcare Social Analytics
Ebrahim Bagheri, Diana Inkpen, Christopher C. Yang, and Fattane Zarrinkalam
Tutorials Schedule
Hate speech: Detection, Mitigation and Beyond
Abstract
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.
Organizers bio
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.
Engaging the Ethics of “Public” Data in Social Media Research
Abstract
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.
Organizers bio
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.
Knowledge In - Wisdom Out - Explainable Data for AI in Cyber Social Threats and Public Health
Abstract
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.
Organizers bio
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.
Organizing Committee
ICWSM Editors-in-Chief
Carol Hamilton
AAAI Executive Director
Stephanie Le
AAAI Conference Coordinator
Steering Committee
Contact Us
Drop us an email at 2021@icwsm.org. For anything particularly related to social media and publicity, contact us at communications@icwsm.org.
We're at facebook.com/icwsm.
Stay updated with our Instagram feed.