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ECIR 2021 will host five workshops

BIAS2nd International Workshop on Algorithmic Bias in Search and Recommendation

Both search and recommendation algorithms provide a user with a ranking that aims to match their needs and interests. Despite the (non) personalized perspective characterizing each class of algorithms, both learn patterns from historical data, which conveys biases in terms of imbalances and inequalities.

In most cases, the trained models and, by extension, the final ranking, unfortunately strengthen these biases in the learned patterns. When a bias impacts on human beings as individuals or as groups with certain legally protected characteristics (e.g., race, gender), the inequalities reinforced by search and recommendation algorithms lead to severe societal consequences like discrimination and unfairness.

Challenges that arise in the real-world applications are focused, among others, on controlling the effects generated by popularity bias to improve the user’s perceived quality of the results, supporting consumers and providers with fair rankings, and transparently explaining why a model provides a given (un)biased result. Hence, being able to detectmeasurecharacterize, and mitigate bias while keeping high effectiveness is a prominent and timely challenge.

BIAS 2021 will be the ECIR’s workshop aimed at collecting new contributions in this emerging field and providing a common ground for interested researchers and practitioners. Specifically, BIAS 2021 will be the second edition of this dedicated event at ECIR, coming after a very successful 2020 delivering. Given the growing interest of the community in these topics, we expect that this workshop will be more and more of interest, with a stronger outcome and a wider community dialog.


  • Submissions: January 4, 2021
  • Notifications: February 8, 2021
  • Camera-Ready: March 1, 2021
  • Workshop: March 28, 2021 – ONLINE EVENT

All deadlines are 11:59pm, AoE time (Anywhere on Earth).


For submission details see the BIAS website

BIR: 11th International Workshop on Bibliometric-enhanced Information Retrieval 

The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR goes into its 11th iteration. In this workshop, we will tackle issues related to academic search, at the intersction between Information Retrieval and Bibliometrics. We strive to get the ‘retrievalists’ and ‘citationists’ active in both academia and the industry together, who are developing search engines and recommender systems for scholarly search.

BIR 2021 will be fully online, along with the 43rd European Conference on Information Retrieval (ECIR 2021).

More information to be provided soon. Stay tuned!

Provisional dates

Paper submissions: 5 January 2021

Notifications: 5 February 2021

MICROS: 1st Workshop on Mixed-Initiative ConveRsatiOnal Systems

The increasing popularity of personal assistant systems as well as smartphones has drawn attention to conversational systems. Thanks to the recent advances in automatic speech recognition and voice generation, conversational systems are largely employed in smart-home devices (e.g., Google Home, Amazon Alexa) as well as wearable devices (e.g., Apple Siri, Microsoft Cortana).

The 1st Edition of the Workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS@ECIR2021) aims at investigating and collecting novel ideas and contributions in the field of conversational systems. These systems provide a conversational interface for different tasks ranging from seeking information to performing e-commerce transactions.

MICROS aims to bring together researchers from academia and industry to discuss the challenges and future of conversational systems. The workshop will have a particular focus on mixed-initiative conversational systems. These proactive systems do not simply propose answers but also provide possible interpretations for ambiguous and vague requests, improving the user’s information-seeking experience.

We invite people working on conversational search as well as interactive recommendation to send us their position and research papers. Novel approaches for conversational information seeking that are based on natural language processing and artificial intelligence are also welcome. We encourage submissions on approaches for conversational search, recommendation, evaluation techniques, data creation and curation, as well as domain-specific applications for conversational systems. The workshop will prioritize innovative and impactful contributions, all the accepted papers will be presented as contribution talks and will have the opportunity to be published in the CEUR proceedings. The workshop will also have keynote talks by experienced researchers and a panel discussion to share insights about conversational systems.

Important Dates

Time zone: Anywhere on Earth (AoE)

  • Submission deadline: December 20th, 2020
  • Notification: February 5th, 2021
  • Workshop day: [coming soon]


For submission details see the MICROS website

ROMCIR: Reducing Online Misinformation through Credible Information Retrieval 

Nowadays, we are all aware of the problems that can arise from coming into contact with dis- and mis-information that are propagated mainly through the Web, social media in particular, through different kinds of information disorder communication forms.

False news can, for example, guide public opinion in political and financial choices; false reviews can promote or, on the contrary, destroy economic activities based on malicious behaviors; unverified medical information can lead people to follow behaviors that can be harmful to their own health (and to that of society as a whole).

In this context, it becomes essential to guarantee to users access to credible information that does not distort their perception of reality. For this reason, in recent years, numerous approaches have been mainly proposed for the identification of false information, in different contexts, and for different purposes.

However, the problem is still of great interest with respect to many open issues, such as early detection of dis/misinformation, the retrieval of credible information, the development of solutions that can be understood by final users (explainable AI), the study of the problem in the health-related field, the relationship between security, privacy and credibility in information access and dissemination.

In this scenario, the role of social computing is crucial to investigate such open issues, providing users with automatic but understandable tools to help them come into contact with genuine information.


See ROMCIR website

Text2Story: 4th International Workshop on Narrative Extraction from Texts

Although the understanding of natural language has improved over the last couple of years – with research works emerging on the grounds of information extraction and text mining – the problem of constructing consistent narrative structures is yet to be solved. In the fourth edition of the Text2Story workshop, we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative representations from texts. Specifically, we aim to provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. To this regard, we encourage the submission of high-quality and original submissions covering the following topics:

  • Narrative Representation Language
  • Story Evolution and Shift Detection
  • Event Identification
  • Temporal Information Extraction
  • Temporal Relation Identification
  • Temporal Reasoning
  • Causal Relation Extraction and Arrangement
  • Event Detection, Profiling, Ordering and Linking
  • Narrative Summarization
  • Multi-modal Summarization
  • Automatic Timeline Generation
  • Storyline Visualization
  • Temporal Aspects of Storylines
  • Comprehension of Generated Narratives and Timelines
  • Evaluation Methodologies for Narrative Extraction
  • Resources and Dataset showcase
  • Big data applied to Narrative Extraction
  • Personalization and Recommendation
  • User Profiling and User Behavior Modeling
  • Sentiment and Opinion Detection in Texts
  • Argumentation Mining
  • Credibility
  • Models for detection and removal of bias in generated stories
  • Ethical and fair narrative generation
  • Fact-Checking
  • Bias in Text Documents
  • Bots Influence
  • Information Retrieval Models based on Story Evolution
  • Temporal Information Retrieval and Narrative Extraction
  • Narrative-focused Search in Text Collections
  • Event and Entity importance Estimation in Narratives


See Text2Story website