Integrity in Social Networks and Media

Integrity 2022, the third edition of the Integrity Workshop, is an event colocated within the WSDM conference happening on February 21st Phoenix, AZ timezone 2022, which will take place online. Integrity 2022 aims to repeat the success achieved in the previous editions, Integrity 2020 and Integrity 2021.

Registration Information

Register through the WSDM one-day registration process:

Workshop Description

In the past decade, social networks and social media sites, such as Facebook and Twitter, have become the default channels of communication and information. The popularity of these online portals has exposed a collection of integrity issues: cases where the content produced and exchanged compromises the quality, operation, and eventually the integrity of the platform. Examples include misinformation, low quality and abusive content and behaviors, and polarization and opinion extremism. There is an urgent need to detect and mitigate the effects of these integrity issues, in a timely, efficient, and unbiased manner.

This workshop aims to bring together top researchers and practitioners from academia and industry, to engage in a discussion about algorithmic and system aspects of integrity challenges. The WSDM Conference, that combines Data Mining and Machine Learning with research on Web and Information Retrieval offers the ideal forum for such a discussion, and we expect the workshop to be of interest to everyone in the community. The topic of the workshop is also interdisciplinary, as it overlaps with psychology, sociology, and economics, while also raising legal and ethical questions, so we expect it to attract a broader audience.

Workshop topics:

  • Low quality, borderline, and offensive content and behaviors: Methods for detecting and mitigating low quality and offensive content and behaviors, such as clickbait, fake engagement, nudity and violence, bullying, and hate speech.

  • Personalized treatment of low quality content: Identification, measurement, and reduction of bad experiences.

  • COVID-19 on social media: Authoritative health information; Covid misinformation; Vaccine hesitancy; Anti-vax movements.

  • Misinformation: Detecting and combating misinformation; Prevalence and virality of misinformation; Misinformation sources and origins; Source and content credibility; Inoculation strategies; Deep and shallow fakes.

  • Polarization: Models and metrics for polarization; Echo chambers and filter bubbles; Opinion Extremism and radicalization; Algorithms for mitigating polarization.

  • Fairness in Integrity: Fairness in the detection and mitigation of integrity issues with respect to sensitive attributes such as gender, race, sexual orientation, and political affiliation.



Invited Speakers



  • Lluis Garcia-Pueyo, Facebook

  • Panayiotis Tsaparas, University of Ioannina

  • Anand Bhaskar, Facebook

  • Prathyusha Senthil Kumar, Facebook

  • Roelof van Zwol, Pinterest

  • Timos Sellis, Facebook

  • Anthony McCosker, Swinburne University

  • Paolo Papotti, University of Roma Tre, EURECOM