June 7th - 10th, 2021

ICWSM-2021

15th International Conference on Web and Social Media

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:
  • Natural Language Processing
  • Text / Data Mining
  • Machine Learning
  • Image / Multimedia Processing
  • Graphics and Visualization
  • Distributed Computing
  • Graph Theory and Network Science
  • Human-computer Interaction
  • Social science approaches to social media research including:
  • Psychology
  • Sociology and social network analysis
  • Communication
  • Political Science
  • Economics
  • Anthropology
  • Media Studies and Journalism
  • Digital Humanities
  • Interdisciplinary approaches to social media research combining computational algorithms and social science methodologies


  • Topics Include (But Not Limited To)

  • Studies of digital humanities (culture, history, arts) using social media
  • Psychological, personality-based and ethnographic studies of social media
  • Analysis of the relationship between social media and mainstream media
  • Qualitative and quantitative studies of social media
  • Centrality/influence of social media publications and authors
  • Ranking/relevance of social media content and users
  • Credibility of online content
  • Social network analysis; communities identification; expertise and authority discovery
  • Trust; reputation; recommendation systems
  • Human computer interaction; social media tools; navigation and visualization
  • Subjectivity in textual data; sentiment analysis; polarity/opinion identification and extraction, linguistic analyses of social media behavior
  • Text categorization; topic recognition; demographic/gender/age identification
  • Trend identification and tracking; time series forecasting
  • Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health
  • New social media applications; interfaces; interaction techniques
  • Engagement, motivations, incentives, and gamification.
  • Social innovation and effecting change through social media
  • Social media usage on mobile devices; location, human mobility, and behavior
  • Organizational and group behavior mediated by social media; interpersonal communication mediated by social media


  • Example Data Sources (Web and Social Media)

  • Social networking sites (e.g., Facebook, LinkedIn)
  • Microblogs (e.g., Twitter, Tumblr)
  • Wiki-based knowledge sharing sites (e.g., Wikipedia)
  • Social news sites and websites of news media (e.g., Huffington Post)
  • Forums, mailing lists, newsgroups
  • Community media sites (e.g., YouTube, Flickr, Instagram)
  • Social Q&A sites (e.g., Quora, Yahoo Answers)
  • User reviews (e.g., Yelp, Amazon.com)
  • Social curation sites (e.g., Reddit, Pinterest)
  • Location-based social networks (e.g., Foursquare)

  • 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
  • Register or log in to PCS account to access the above link
  • After registering/logging in, click on the Submissions tab and make the following selections from the dropdown menus:
    Society: AAAI. Conference/Journal: ICWSM 21. Track: ICWSM 21 Jan Submissions.
  • After clicking "Go" a placeholder submission will appear in the table below. Click on "Edit Submission" to add your paper details.
  • The submission will be marked complete when you have entered all the required fields, but you will still be able make edits until submissions are closed.

  • 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
  • Register or log in to PCS account to access the above link
  • After registering/logging in, click on the Submissions tab, and make the following selections from the dropdown menus:
    Society: AAAI. Conference/Journal: ICWSM 21. Track: ICWSM 21 Posters, Demos, and Datasets.
  • After clicking "Go" a placeholder submission will appear in the table below. Click on "Edit Submission" to add your paper details.
  • The submission will be marked complete when you have entered all the required fields, but you will still be able to edit it until submissions are closed.

  • 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
  • Register or log in to PCS account to access the above link
  • After registering/logging in, click on the Submissions tab, and make the following selections from the dropdown menus:
    Society: AAAI. Conference/Journal: ICWSM 21. Track: ICWSM 21 Posters, Demos, and Datasets.
  • After clicking "Go" a placeholder submission will appear in the table below. Click on "Edit Submission" to add your paper details.
  • The submission will be marked complete when you have entered all the required fields, but you will still be able to edit it until submissions are closed.

  • 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


    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:

  • The organizers encourage workshops that promote different types of activities, including challenges, games, and brainstorming, and networking sessions. The organizers discourage workshops that are structured as mini-conferences dominated by long talks and short discussions. Workshops should leave ample time for discussions and interaction between the participants and should also encourage the submission and presentation of position papers that discuss new research ideas.
  • The workshop should have the potential to attract the interest of researchers in computer science and social science. Proposals involving people of different backgrounds in the organizing committee and addressing topics at the intersection of different disciplines will have a higher chance of acceptance.

  • 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:

  • A concise title
  • The names, affiliations, and contact information of the organizing committee. A main contact author should be specified. A typical proposal should include no more than four co-chairs.
  • An indication as to whether the workshop should be considered for a half-day or full-day meeting.
  • A short abstract describing the scope and main objective of the workshop. Identify the specific issues and research questions the workshop will focus on, with a brief discussion of why the topic is of particular interest at this time and for which research communities.
  • A two/three paragraph description of the workshop topic and themes.
  • A description of the proposed workshop format and a detailed list of proposed activities, with special emphasis on those activities that distinguish it from a mini-conference (e.g., games, brainstorming sessions, challenges, group activities).
  • An approximate timeline of the activities.
  • A description of how workshop submissions will be evaluated and selected (invited contributions, peer review, etc.). In case a PC is needed, provide a tentative list of the members.
  • Historical information about the workshop, if available. Short description of the previous editions reporting highlights and details about the approximate number of attendees and number of submissions.
  • A list of other related workshops held previously at related conferences, if any (list does not have to be exhaustive), together with a brief statement on how the proposed workshop differs from or how it follows-up on work presented at previous workshops.
  • A short bio for each member of the organizing committee, including a description of their relevant expertise. Strong proposals include organizers who bring differing perspectives to the workshop topic and who are actively connected to the communities of potential participants.

  • 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


    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:


  • Course: Traditional tutorials to teach concepts, methodologies, tools, and software packages. We encourage hands-on tutorials that promote interactivity.

  • Translation: Tutorials that aim to translate concepts between disciplines. For example, such a tutorial could introduce social science concepts to computer scientists, or computational concepts to social scientists. Thus, these tutorials should be geared towards a beginner audience.

  • Case study: Focused tutorials that emphasize real world applications of ICWSM work. These tutorials should walk the audience through how research insights and tools were applied in practice. We welcome submissions from practitioners in industry, government, and NGOs in addition to academics.

  • 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:

  • All submissions from that author will be disqualified from the current ICWSM conference;
  • And authors will not be permitted to submit papers to the ICWSM conference in the following year.

  • 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

    Jason Nurse
    Ella Haig
    Kenny Joseph
    Afra Mashadi
    Kokil Jaidka
    Eni Mustafaraj
    David Schoch
    Oana Balalau
    Katherine Ognyanova
    Daniel Romero
    Jisun An
    Sauvik Das
    Shamomei Wu
    Duncan Hodges
    Dong Nguyen
    Savvas Zannettou
    Ghita Mezzour
    Kai Shu
    Gianluca Stringhini
    Kiran Garimella
    Talayeh Aledavood
    Keenan Jones
    Amira Ghenai
    Naeemul Hassan
    Francielle Vargas
    Panagiotis Andriotis
    Dakuo Wang


    ICWSM Editors-in-Chief



    Carol Hamilton
    AAAI Executive Director

    Stephanie Le
    AAAI Conference Coordinator


    Steering Committee


    Previous ICWSMs


    Top ICWSM papers by citation (Google Scholar h5)

    AAAI Digital Library


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    Drop us an email at 2021@icwsm.org. For anything particularly related to social media and publicity, contact us at communications@icwsm.org.

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