ADM+S Project: Quantifying and Measuring Bias and Engagement

Last updated on Dec 16, 2023
Go to Project Site CACM SIGIR'23 CIKM'23 UbiComp/ISWC'23 ADM+S News and Media Report
Damiano Spina
Damiano Spina
Senior Lecturer

I do research in the fields of Information Retrieval and Text Analytics, focusing on interactive information retrieval and evaluation of information access systems.

Publications

Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?
Information-seeking dialogues span a wide range of questions, from simple factoid to complex queries that require exploring multiple …
PDF Cite Dataset Project DOI
Characterizing Information Seeking Processes with Multiple Physiological Signals
Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly …
PDF Cite Code Project DOI
Everything We Hear: Towards Tackling Misinformation in Podcasts
Advances in generative AI, the proliferation of large multimodal models (LMMs), and democratized open access to these technologies have …
PDF Cite Project DOI
Explainability for Transparent Conversational Information-Seeking
The increasing reliance on digital information necessitates advancements in conversational search systems, particularly in terms of …
PDF Cite Dataset Project DOI
Quantifying and Measuring Bias and Engagement in Automated Decision-Making
Navigating online news, media and information has never been more difficult despite the curatorial work of algorithmic news feeds, …
PDF Cite Project DOI
Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search
Spoken Conversational Search (SCS) poses unique challenges in understanding user-system interactions due to the absence of visual cues, …
PDF Cite Project DOI
Towards Investigating Biases in Spoken Conversational Search
Voice-based systems like Amazon Alexa, Google Assistant, and Apple Siri, along with the growing popularity of OpenAI’s ChatGPT and …
PDF Cite Project DOI
Walert: Putting Conversational Information Seeking Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot
Creating and deploying customized applications is crucial for operational success and enriching user experiences in the rapidly …
PDF Cite Code Project Project Poster Video DOI
Human-AI Cooperation to Tackle Misinformation and Polarization
A dominant narrative of the past decade is that algorithms contribute to a misinformed and segregated society. Perhaps paradoxically, …
PDF Cite Project DOI
AI and Automated Decision-Making in News and Media: Key Technologies and Emerging Challenges
PDF Cite Project DOI URL
Designing and Evaluating Presentation Strategies for Fact-Checked Content
With the rapid growth of online misinformation, it is crucial to have reliable fact-checking methods. Recent research on finding …
PDF Cite Code Project DOI
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities
Physiological signals have the potential to be applied as objective measures to understand the behaviour and engagement of users …
PDF Cite Code Project Poster DOI
Towards Detecting Tonic Information Processing Activities with Physiological Data
Characterizing Information Processing Activities (IPAs) such as reading, listening, speaking, and writing, with physiological signals …
PDF Cite Project DOI
Towards Detecting Tonic Information Processing Activities with Physiological Data
Where Do Queries Come From?
Where do queries – the words searchers type into a search box – come from? The Information Retrieval community understands …
PDF Cite Project Video DOI