With the proliferation of smart devices, mobile applications, and social network platforms, the social side effects of these technologies have become more profound, especially in social and political disintegration. Several journalistic and academic investigations have reported that modern communication platforms such as social media (e.g., Twitter, Facebook, blogs, YouTube, and the “deep web” channels) are strategically used to coordinate various deviant activities such as cyber propaganda campaigns. Several researchers have studied these deviant activities and identified various tactics, techniques, and procedures used by various online deviant groups, e.g., online propagandist groups,terrorist groups sympathizers, black-hat hacker groups, and internet trolls. Various social media platforms utilized the research findings to detect and curb some of these deviant activities. However, the techniques that are used by the aforementioned deviant groups evolve and adapt to go on undetected. This is a growing problem on social media that needs to be explored and solved.

In this workshop, our aim is to have a scientific discussion among the experts who study deviant activities on social media, including but not limited to, detection of deviant/disruptive behaviors on social media; misinformation detection, identification, and dissemination; case studies of misinformation; etc. This includes, but is not limited to, the following topics:

Research Topics

  • Misinformation detection
  • Misinformation dissemination tactics such as misdirection, hashtag-latching, smoke screening
  • Multiple platform orchestration (cross-platform dissemination strategies)
  • Algorithmic manipulation such as exploiting recommendation algorithm bias manipulation
  • Deviant behaviors on social media platforms such as cyber bullying, organized hacking
  • Spamming, spear phishing through social media channels
  • Coordination strategies and detection
  • Mobs such as cyber flash mobs, smart mobs, deviant cyber flash mobs, automated deviant mobs
  • Coordinated inauthentic behaviors
  • Machine driven communications (bots, botnets, social bots, etc.)
  • Troll detection and strategies
  • Hate speech (toxic, polarizing, or disruptive content)
  • Narratives analysis during misinformation online campaigns
  • Stance detection and intent classification
  • Policy implications

**In the light of recent elections worldwide, the COVID-19 pandemic, and covid-related deviant behaviors such as anti-lockdown campaigns, vaccine hesitancy, etc., we also solicit papers focused on disinformation and misinformation being disseminated related to these events.**

Important Dates

  • Submission Deadline: September 15 October 8, 2021 (firm deadline)
  • Notification to Authors: November 1, 2021
  • Camera Ready Due: November 12, 2021

Venue Information

Due to the current COVID-19 pandemic, the IEEE BigData conference and the DEVIANCE 2021 Workshop will be held virtually. The workshop sessions will be conducted synchronously using real-time conferencing software. The authors of the workshop must present their papers according to the announced schedule. Participants can access the conference virtual platform by visiting


Full paper manuscripts must be in English with a maximum length of 10 pages (using the IEEE two-column template). Submissions should be in PDF and include the title, author(s), affiliation(s), e-mail address(es) and abstract on the first page. Workshop papers can be submitted through the submission portal.

Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines.

All papers accepted for the workshop will be included in the Conference Proceedings published by the IEEE Computer Society Press.

Special Issue

Selected presentations will be invited to submit extended studies to Springer’s Social Network Analysis and Mining (SNAM) special issue on Deviant Behaviors on Social Media.


9:00am-9:15amIntroduction to the WorkshopWorkshop Chairs
 Track 1
9:15am – 9:40amBigD402 – Am I Being Bullied on Social Media? An Ensemble Approach to Categorize CyberbullyingMohsinul Kabir
9:40am – 10:05amBigD396 – Hate or Non-hate: Translation based hate speech identification in Code-Mixed Hinglish data setShankar Biradar
10:05am – 10:30amS06205 – An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive MechanismChien-Chih Chen
10:30am – 10:55amS06204 – Identifying the Popularity and Persuasiveness of Right- and Left-Leaning Group Videos on Social MediaLin Ai/Anika Kathuria
10:55am – 11:20amS06207 – MetaHate: A Meta-Model for Hate Speech DetectionDaniel G. Kyrollos
11:20am – 12:30pmLunch Break
 Track 2
12:30pm – 12:55pmS06210 – If it retweets like a troll, follows like a troll and looks like a troll; is it a troll?: Targeting the 2021 Ecuadorian Presidential Elections TrollsSaríah López-Fierro
12:55pm – 1:20pmS06201 – Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19Deval Mehta
1:20pm – 2:25pmKeynoteDr. Anatoliy Gruzd
2:25pm – 2:40pmShort Break
 Track 2 (continued)
2:40pm – 3:05pmS06206 – Identifying Social Media Content Supporting Proud BoysSwapna Gokhale
3:05pm – 3:30pmS06208 – Internet Trolls against Russian Opposition: A Case Study Analysis of Twitter Disinformation Campaigns against Alexei NavalnyIuliia Alieva
3:30pm – 3:45pmClosing Remarks
*All Times in United States EST (to keep it consistent with main conference time).

Organizing Committee

Esther Ledelle Mead

Postdoctoral fellow, COSMOS research center at University of Arkansas at Little

Kiran Kumar Bandeli

Senior Data Scientist, Walmart

Samer Al-khateeb

Assistant Professor, Creighton

Nitin Agarwal

Jerry L. Maulden-Entergy Chair & Distinguished Professor
Director, COSMOS research center and Distinguished Professor at University of Arkansas at Little Rock

Thomas Marcoux

Web Chair – Computer and Information Science PhD candidate, University of Arkansas at Little

Program Committee

  • Donald Adjeroh (West Virginia University, USA)
  • Steven Fernandes (Creighton University, USA)
  • Ugur Kursuncu (South Carolina University, USA)
  • Huan Liu (Arizona State University, USA)
  • Onur Savas (Accenture Federal Services, USA)
  • Ingmar Weber (Qatar Computing Research Institute, Qatar)
  • Therese Williams (University of Central Oklahoma, USA)