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  1. Robust Training of Social Media Image Classification Models
  2. The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority
  3. MEDIC: a multi-task learning dataset for disaster image classification
  4. Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing
  5. Accepted Tutorials at The Web Conference 2022
  6. Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic
  7. Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing (Preprint)
  8. Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions
  9. Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response
  10. Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview
  11. Descriptive and visual summaries of disaster events using artificial intelligence techniques: case studies of Hurricanes Harvey, Irma, and Maria
  12. Annotating and modeling empathy in spoken conversations
  13. Processing social media images by combining human and machine intelligence during crises
  14. Bidirectional LSTMs — CRFs networks for bangla POS tagging
  15. Can we detect speakers' empathy?: A real-life case study
  16. In the mood for sharing contents: Emotions, personality and interaction styles in the diffusion of news
  17. Comparing Named Entity Recognition on Transcriptions and Written Texts
  18. Emotion Unfolding and Affective Scenes
  19. Fusion of acoustic, linguistic and psycholinguistic features for Speaker Personality Traits recognition
  20. Predicting Personality Traits using Multimodal Information
  21. A Combination of Classifiers for Named Entity Recognition on Transcription