Papers with Search engines

5 papers
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search (2020.emnlp-demos)

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Challenge: SciSight is a system for exploratory search of COVID-19 literature . it explores associations between biomedical facets extracted from papers .
Approach: They propose a system for exploratory search of COVID-19 literature that integrates two key capabilities: first, exploring associations between biomedical facets automatically extracted from papers; second, combining textual and network information to search and visualize groups of researchers and their ties.
Outcome: The proposed system has served over 15K users with over 42K page views and 13% returns.
The Power of Framing: How News Headlines Guide Search Behavior (2025.findings-emnlp)

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Challenge: Framing effects on judgment are well documented, but their impact on subsequent search behavior is less understood.
Approach: They conducted a controlled experiment where participants issued queries and selected headlines filtered by specific linguistic frames.
Outcome: The results suggest that even brief exposure to framing can meaningfully alter the direction of users’ information-seeking behavior.
Digital Gatekeepers: Google’s Role in Curating Hashtags and Subreddits (2025.acl-long)

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Challenge: This study examines how search engines like Google selectively promote or suppress certain hashtags and subreddits, impacting the flow of information and impacting public conversations.
Approach: They compare search engine results with nonsampled data from Reddit and Twitter/X to examine how search engines curate content through algorithmic curation.
Outcome: The proposed algorithm suppresses subreddits related to sexually explicit material, conspiracy theories, advertisements, and cryptocurrencies while promoting content associated with higher engagement.
WikiHowQA: A Comprehensive Benchmark for Multi-Document Non-Factoid Question Answering (2023.acl-long)

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Challenge: Answering non-factoid questions (NFQs) is a challenging task, requiring passage-level answers that are difficult to construct and evaluate.
Approach: They propose a multi-document NFQA benchmark built on WikiHow, a website dedicated to answering “how-to” questions.
Outcome: The proposed framework includes 11,746 human-written answers along with 74,527 supporting documents.
Content Explorer: Recommending Novel Entities for a Document Writer (D18-1)

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Challenge: Existing tools for exploratory search can be useful for document writers but they are not always effective for identifying topics for further research.
Approach: They propose a supervised learning problem for recommending topics to a writer . they propose entropy loss function modification to improve the results .
Outcome: The proposed model improves on a large dataset and can be used to identify topics for further research.

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